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00M-670 IBM SVP Primary advocate Provider Mastery Test v1

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00M-670 exam Dumps Source : IBM SVP Primary advocate Provider Mastery Test v1

Test Code : 00M-670
Test appellation : IBM SVP Primary advocate Provider Mastery Test v1
Vendor appellation : IBM
braindumps : 25 real Questions

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IBM IBM SVP Primary Support

IBM’s ‘huge wager’ on Kubernetes is unifying cloud providers across systems | killexams.com real Questions and Pass4sure dumps

Navigating cloud computing services will moreover be problematic, especially when they arrive from diverse suppliers. therefore, establishing a considerable groundwork turns into much more crucial in retaining a hit operations across nowadays’s multicloud landscape. For IBM, that basis is Kubernetes, the open-supply device for managing containerized utility applications at scale.

“IBM has taken a huge stake on Kubernetes two and a half years ago,” spoke of Daniel Berg (pictured), uncommon engineer, IBM Cloud Kubernetes service, at IBM. “[We] not ever truly appeared again; it’s their basic foundation for their platform features.”

Berg spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the IBM suppose relish in San Francisco. They mentioned IBM’s Kubernetes functions and the company challenges of relocating operations between inner most and public clouds. (* Disclosure beneath.)

Bridging the multicloud gap

The IBM Cloud Kubernetes service presently has two distributions: IBM Cloud inner most, or ICP, which operates on-premises, and a managed service in the public cloud. So, what are the merits of completely retaining a personal cloud with Kubernetes? The container administration platform modernizes and organizes years-old content.

“We’ve modernized it, keep it in containers, set up it, and control it on Kubernetes. The first-class issue is that content which you can convey on-premises where it’s essential the most and elope it in ICP — and moreover bewitch that and elope it in their public cloud,” Berg explained.

Kubernetes is convenient to deploy, installation, and find started. despite the fact, it is not devoid of its complications. With enhanced proliferation comes more desirable problem in managing the diverse clusters, Berg pointed out. “There are nevertheless some complexities, as a result of … you’ve obtained building clusters; you’ve obtained test clusters,” he said.

To alleviate the challenge, IBM launched a fresh product referred to as Multicloud manager, which gives a manage airplane to manage components throughout many different clouds and disparate platforms. it really works with ICP and IBM Kubernetes service however is additionally suitable with Amazon, Google, Azure and OpenShift. Multicloud manager moreover helps with safety compliance and enforcement, so it gives safety anyplace it's lacking.

For businesses finding it under feasible to hold consistency and necessities while customizing for inevitable data wants, Berg stated the benefits of numerous distributions. “in order for you whatever thing that’s tremendously, enormously specific to a given employ case or you abide transformations to your infrastructure that you should abide extra flexibility, that’s the status IBM Cloud inner most comes in,” he noted.

Two clouds are greater than one

relocating to public cloud in a separate fell swoop is a Herculean project, even for huge corporations such as Amazon and Google. this is where hybrid cloud is available in. In IBM’s case, it combines ICP and OpenShift to provide OpenShift clients IBM’s content material, built-in monitoring, and integrated logging onto the platform for which they are already standardized.

“as a result of they constructed and are standardized on Kubernetes, they supply Kubernetes carrier and they enact that at scale and relaxed, in addition to extremely accessible,” Berg cited.

Berg did warn towards using just one cloud vendor, and he moreover advised groups to be constant in what they covet out of their suppliers. “but the aspect that clients enact deserve to examine, and what they enact should standardize throughout an business, is a few of the core tenets and core applied sciences,” he introduced.

Visibility into workloads is moreover vital to a corporation’s operations, Berg explained. And IBM Cloud Monitoring does this. The implement isn't wonderful to Kubernetes, both. fairly, it can be extended into digital machines and different forms of workloads. IBM’s monitoring is greatly helped by means of its partnership with Sysdig Inc., Berg introduced.

“you can’t build a cloud-native solution without monitoring, correct? Monitoring and log … it’s devotion peanut butter and jelly. You’ve got to abide them,” Berg concluded.

Watch the comprehensive video interview beneath, and be positive to check out more of SiliconANGLE’s and theCUBE’s coverage of the IBM contemplate event. (* Disclosure: IBM subsidized this section of theCUBE. Neither IBM nor different sponsors abide editorial manage over content on theCUBE or SiliconANGLE.)

photograph: SiliconANGLE on the grounds that you’re perquisite here …

… We’d want to inform you about their mission and how that you can assist us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in response to the intrinsic value of the content, now not advertising. not devotion many online publications, they don’t abide a paywall or elope banner advertising, because they want to hold their journalism open, with out abide an outcome on or the need to chase site visitors.The journalism, reporting and commentary on SiliconANGLE — together with are living, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — bewitch a lot of arduous work, time and money. retaining the satisfactory exorbitant requires the befriend of sponsors who're aligned with their vision of ad-free journalism content.

if you devotion the reporting, video interviews and different advert-free content material perquisite here, please bewitch a second to bewitch a examine at a pattern of the video content supported through their sponsors, tweet your guide, and maintain coming returned to SiliconANGLE.


Skytap declares Upcoming accepted Availability of First Self-carrier, Public Cloud Capabilities for IBM i | killexams.com real Questions and Pass4sure dumps

No outcome found, are trying fresh key phrase!SEATTLE, Feb. 11, 2019 /PRNewswire/ -- forward of IBM suppose, Skytap, a world, intention-constructed public cloud company, today announced that its assist for the IBM i operating ... remedy," spoke of Karri Alexio...

IBM: A Future Blockchain chief? | killexams.com real Questions and Pass4sure dumps

No outcomes found, try fresh keyword!(supply: IBM website) at present, IBM reports it has three basic desires in its blockchain artery ... furthermore, IBM’s specialists within the box present further usher for those drawn to the technol...

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Java Cryptography | fragment 3 | killexams.com real questions and Pass4sure dumps

After you abide secured your private electronic information using encryption and erudite how to encrypt and digitally note files for others, how enact you extract the information and determine who encrypted the file? Asymmetric public/private key encryption allows you to decipher the information and verify the accompanying digital signature if it exists.

This article illustrates how to decrypt and verify the digital signature on files encrypted using a hybrid combination of asymmetric public/private key encryption and symmetric encryption. A symmetric key is used to encrypt the file and the asymmetric public key encrypts the symmetric key. The asymmetric private key decrypts the symmetric key which in eddy is used to decrypt the encrypted file.

Figure1: Asymmetric Key Encryption Functions

The identical pair of keys can be used with digital signatures. The private key is used to note a file and generate a digital signature. The public key is used to verify the authenticity of the signature.

Figure 2: Asymmetric Key Signature Functions

The decryption technique requires the Java libraries developed by the Legion of the Bouncy Castle (www.bouncycastle.org). The Bouncy Castle jars, bcprov-jdk15on-147.jar and bcpkix-jdk15on-147.jar, contains impeccable the methods required to encrypt, decrypt, note and verify a digital signature. The following Java code snippet loads the BouncyCastle provider, which implements the Java Cryptography Security services such as algorithms and key generation.

import org.bouncycastle.jce.provider.*;java.security.Security.addProvider(new BouncyCastleProvider());

Decryption for Files or Java ObjectsOnce a file has been encrypted and/or signed using the DocuArmor application, it can be deciphered by the owner of the matching asymmetric private key. The process involves reading the header, extracting the symmetric key and deciphering the appended encrypted data. The following steps along with the Java code snippets illustrate the process used to decrypt an encrypted file.

Step 1: Assume you want to decrypt the encrypted file, C:\sampleFile.txt.jxdoe_nnnn.asg and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the encrypted file. Read the header from the encrypted file and determine decrypted output name.

File tSrcFile = fresh File("C:\\sampleFile.txt." + tUniqueAlias + ".aes");String tDecryptFile = tSrcFile.getName();tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));OutputStream tFileOStream = fresh FileOutputStream(tDecryptFile);DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;

Step 2: The private key is stored in a Java key store and is password protected. Load the key store using your password. Retrieve the asymmetric private key from the key store using the identical password. The asymmetric private key will be used to decrypt the symmetric key.

FileInputStream tFIStream = fresh FileInputStream("C:\\jxdoe_nnnn.jks");KeyStore tMyKStore = KeyStore.getInstance("JKS", "SUN");char[] tPW = "password".toCharArray();tMyKStore.load(tFIStream, tPW);PrivateKey tPrivKey = (PrivateKey)tMyKStore.getKey("jxdoe_nnnn", tPW);

Figure 3: Private Key

Step 3: Generate a Java Cipher remonstrate using the asymmetric private key and set its mode to "Cipher.UNWRAP_MODE".

Cipher tCipherRSA = Cipher.getInstance("RSA", "BC");tCipherRSA.init(Cipher.UNWRAP_MODE, (PrivateKey)tPrivKey);

Step 4: employ the Java Cipher and asymmetric private key to unwrap the symmetric key. It's located in the header at the instance variable, wrappedSymKey or wrappedSymKeyOther, along with symmetric algorithm at symKeyAlgDesc. The symmetric key will be used to decrypt the file.

String tAlg = tHead.symKeyAlgDesc();Key tSymmetricKey =tCipherRSA.unwrap(tHead.wrappedSymKey(),tAlg, Cipher.SECRET_KEY);

Figure 4: Unwrap Symmetric Key

Step 5: Re-initialize the identical Cipher to Cipher.DECRYPT_MODE. employ the Cipher and the asymmetric private key to decrypt the initialization vector stored within the header at the instance variable initVector or initVectorOther.

tCipher.init(Cipher.DECRYPT_MODE, (PrivateKey)tPrivKey);byte[] tInitVector = tCipher.doFinal(tHead.initVector());IvParameterSpec tIvParmSpec = fresh IvParameterSpec(tInitVector);

Figure 5: Unwrap Initialization Vector

Step 6: Generate a Java Cipher remonstrate using the symmetric key and initialization vector and set its mode to "Cipher.DECRYPT_MODE". The string representing the symmetric algorithm, mode and padding can be extracted from the Cryptography header using the "transformation" method.

tCipherDecrypt = Cipher.getInstance("AES/CTR/PKCS7Padding", "BC");or tCipherDecrypt = Cipher.getInstance(tHead.transformation(), "BC");tCipherDecrypt.init(Cipher.DECRYPT_MODE, tSymmetricKey, tIvParmSpec);

Step 7: employ the Java Cipher to decrypt the ease of the file to a Java FileOutputStream. The DataInputStream points to the start of the encrypted data after reading the header. The cessation result is a decrypted file.

byte[] tInBuffer = fresh byte[4096];byte[] tOutBuffer = fresh byte[4096];int tNumOfBytesRead = tDInStream.read(tInBuffer);while (tNumOfBytesRead == tInBuffer.length) {//-Encrypt the input buffer data and store in the output bufferint tNumOfBytesUpdated =tCipherDecrypt.update(tInBuffer, 0, tInBuffer.length, tOutBuffer);tFileOStream.write(tOutBuffer, 0, tNumOfBytesUpdated);tNumOfBytesRead = tDInStream.read(tInBuffer);}//-Process the remaining bytes in the input file.if (tNumOfBytesRead > 0) {tOutBuffer = tCipherDecrypt.doFinal(tInBuffer, 0, tNumOfBytesRead);} else {tOutBuffer = tCipherDecrypt.doFinal();}tFileOStream.write(tOutBuffer, 0, tOutBuffer.length);tFileOStream.close();

Figure 6: Decipher the Encrypted File

Step 7a: If the encrypted file contains a Java object, employ the Java Cipher to decrypt the ease of the file to a Java ByteArrayOutputStream instead of a FileOutputStream. The cessation result can be converted to an instance of its original Java class.

ByteArrayInputStream tBAIS = fresh ByteArrayInputStream(tBAOS.toByteArray());  ObjectInput tOIS = fresh ObjectInputStream(tBAIS);Object tObject = tOIS.readObject();  //-Original Java objecttBAOS.close();tBAIS.close();tOIS.close();

Alternatively, the identical technique can be used to decrypt the encrypted file using the symmetric key that was wrapped with the CA or owner's asymmetric public key. If the file was encrypted for another user, the owner can decrypt it using the additionally wrapped symmetric key. If the file was encrypted for oneself, the CA can decrypt it using the additionally wrapped symmetric key in the enterprise version.

Signature VerificationWhen a file has been digitally signed with a user's asymmetric private key, the signature is stored in the Cryptography header. The signature can be validated with the user's matching asymmetric public key stored in a certificate. The process involves reading the header, extracting the digital signature and validating it against the ease of the signed file and the asymmetric public key. The following steps portray the process used to verify a digital signature.

Step 1: Assume you want to verify the signature on the encrypted and digitally signed file, "C:\sampleFile.txt.jxdoe_nnnn.asg" and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the file. Read the header from the signed file. After the header is read, withhold in repartee that the DataInputStream now points to the rise of the encrypted data.

File tSrcFile = fresh File("C:\\sampleFile.txt." + tUniqueAlias + ".asg");DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;byte[] tCurrSignature = tHead.signature();

Step 2: Retrieve the certificate whose appellation is stored in the header and contains the asymmetric public key needed for verification. Retrieve the asymmetric public key from the certificate associated with the digital signature.

String tCertName = "C:\\" + tHead.verifySigCertName();InputStream tInStream = fresh FileInputStream(tCertName);CertificateFactory tFactory = CertificateFactory.getInstance("X.509","BC");X509Certificate tCert =(X509Certificate)tFactory.generateCertificate(tInStream);tInStream.close();PublicKey tPubKey = tCert.getPublicKey();

Figure 7: Extract Public Key

Step 3: Instantiate a Java signature engine and initialize it with the signature algorithm stored in the header and the asymmetric public key. The default value is "SHA512WithRSAEncryption".

Signature tSgnVerifyEngine = null;String tSigAlg = tHead.signatureAlgDesc();tSgnVerifyEngine = Signature.getInstance(tSigAlg,"BC");tSgnVerifyEngine.initVerify(tPubKey);

Step 4: employ the Java signature engine to process the ease of the signed file and figure a hash number that will be compared with the signature stored in the header.

int tBlockSize = 4096;byte[] tBuffer = fresh byte[tBlockSize];int tLength = tDInStream.read(tBuffer);while (tLength == tBlockSize) {tSgnVerifyEngine.update(tBuffer, 0, tBlockSize);tLength = tDInStream.read(tBuffer);} if (tLength > 0) {tSgnVerifyEngine.update(tBuffer, 0, tLength);}

Step 5: After the file has been processed, employ the Java signature engine to verify its result with the digital signature. A Boolean result is returned on whether the signature was valid.

Boolean tResult = tSgnVerifyEngine.verify(tCurrSignature);

SummaryThe article demonstrates how to decrypt and verify the digit signature of and encrypted file using Java Cryptography methods and the Cryptography libraries from Bouncy Castle organization. Using the information provided within the Cryptography header, the user can validate who encrypted its contents and/or decipher the encrypted file. The header moreover provides the flexibility to expand the usage of Cryptography such as allowing multiple recipients to decrypt a file by using each of their public keys to encrypt the identical symmetric key. As society adopts file encryption as a touchstone artery of protection, more creative uses will be invented by future Cyber warriors.

The source code (LaCryptoJarSample.java) is available on the analytic Answers Inc. website under the education web page as an individual file and moreover within the zip file, laCrypto-4.2.0.zipx.

References and Other Technical NotesSoftware requirements:

  • Computer running Windows XP or higher...
  • Java Runtime (JRE V1.7 or higher)
  • Recommended reading:

  • "Beginning Cryptography with Java" by David Hook.
  • "The Code Book" by Simon Singh

  • Avoid Bothersome Garbage Collection Pauses | killexams.com real questions and Pass4sure dumps

    Many engineers complain that the non-deterministic conduct of the garbage collector prevents them from utilizing the Java environment for mission-critical applications, especially distributed message-driven displays (GUIs) where user responsiveness is critical. They agree that garbage collection does occur at the worst times: for example, when a user clicks a mouse or a fresh message enters the system requiring immediate processing. These events must be handled without the retard of in-progress garbage collection. How enact they preclude these garbage collection pauses that tamper with the responsiveness of an application ("bothersome pauses")?

    We abide discovered a very efficacious technique to preclude bothersome garbage collection pauses and build responsive Java applications. This technique or pattern is especially efficacious for a distributive message-driven display system with soft real-time constraints. This article details this pattern in three simple steps and provides evidence of the effectiveness of the technique.

    Pattern to Control Garbage Collection PausesThe Java environment provides so many benefits to the software community - platform independence, industry momentum, a plethora of resources (online tutorials, code, interest groups, etc.), object-oriented utilities and interfaces (collections, network I/O, sway display, etc.) that can be plugged in and out - that once you abide experienced working with Java it's arduous to Go back to traditional languages. Unfortunately, in some mission-critical applications, devotion message-driven GUIs that must be very responsive to user events, the requirements compel you to bewitch that step backward. There's no leeway for multiple second garbage collection pauses. (The garbage collector collects impeccable the "unreachable" references in an application so the space consumed by them can be reused. It's a low-priority thread that usually only takes priority over other threads when the VM is running out of memory.) enact they really abide to lose impeccable the benefits of Java? First, let's esteem the requirements.

    A system engineer should esteem imposing requirements for garbage collection devotion the following list taken from a telecom industry instance (see References).1.  GC sequential overhead on a system may not be more than 10% to ensure scalability and optimal employ of system resources for maximum throughput.2.  Any separate GC respite during the entire application elope may be no more than 200ms to meet the latency requirements as set by the protocol between the client and the server, and to ensure honorable response times by the server.

    Armed with these requirements, the system engineer has defined the worst-case conduct in a manner that can be tested.

    The next question is: How enact they meet these requirements? Alka Gupta and Michael Doyle construct excellent suggestions in their article (see References). Their approach is to tune the parameters on the Java Virtual Machine (JVM). They bewitch a slightly different approach that leaves the employ of parameter definitions as defined by the JVM to be used as a final tuning technique.

    Why not order the garbage collector what and when to collect?

    In other words, control garbage collection via the software architecture. construct the job of the garbage collector easy! This technique can be described as a multiple step pattern. The first step of the pattern is described below as "Nullify Objects." The second step involves forcing garbage collection to occur as delineated in "Forcing Garbage Collection." The final step involves either placing persistent data out of the compass of the collector or into a data pool so that an application will continue to discharge well in the long run.

    Step 1: Nullify ObjectsMemory leaks strike scare into the hearts of programmers! Not only enact they demean performance, they eventually terminate the application. Yet reminiscence leaks prove very subtle and difficult to debug. The JVM performs garbage collection in the background, freeing the coder from such details, but traps still exist. The biggest danger is placing an remonstrate into a collection and forgetting to remove it. The reminiscence used by that remonstrate will never be reclaimed.

    A programmer can preclude this kind of reminiscence leak by setting the remonstrate reference and impeccable underlying remonstrate references ("deep" objects) to null when the remonstrate is no longer needed. Setting an remonstrate reference to "null" tells the garbage collector that at least this one reference to the remonstrate is no longer needed. Once impeccable references to an remonstrate are cleared, the garbage collector is free to reclaim that space. Giving the collector such "hints" makes its job easier and faster. Moreover, a smaller reminiscence footprint moreover makes an application elope faster.

    Knowing when to set an remonstrate reference to null requires a complete understanding of the problem space. For instance, if the remote receiver allocates the reminiscence space for a message, the ease of the application must know when to release the space back for reuse. Study the domain. Once an remonstrate or "subobject" is no longer needed, order the garbage collector.

    Thus, the first step of the pattern is to set objects to null once you're positive they're no longer needed. They call this step "nullify" and embrace it in the definition of the classes of frequently used objects.

    The following code snippet shows a artery that "nullifies" a track object. The class members that consist of primitives only (contain no additional class objects) are set to null directly, as in lines 3-5. The class members that accommodate class objects provide their own nullify artery as in line 9.

    1 public void nullify () {23 this.threatId = null ;4 this.elPosition = null ;5 this.kinematics = null ;67 if (this.iff != null)8 {9 this.iff.nullify();10 this.iff = null ;11 }12 }

    The track nullify is called from the thread that has completed processing the message. In other words, once the message has been stored or processed, that thread tells the JVM it no longer needs that object. Also, if the remonstrate was placed in some Collection (like an ArrayList), it's removed from the Collection and set to null.

    By setting objects to null in this manner, the garbage collector and thus the JVM can elope more efficiently. Train yourself to program with "nullify" methods and their invocation in mind.

    Step 2: "Force" Garbage CollectionThe second step of the pattern is to control when garbage collection occurs. The garbage collector, GC, runs as Java priority 1 (the lowest priority). The virtual machine, VM, runs at Java priority 10 (the highest priority). Most books recommend against the usage of Java priority 1 and 10 for assigning priorities to Java applications. In most cases, the GC runs during idle times, generally when the VM is waiting for user input or when the VM has elope out of memory. In the latter case, the GC interrupts high-priority processing in the application.

    Some programmers devotion to employ the "-Xincgc" directive on the Java command line. This tells the JVM to discharge garbage collection in increments when it desires. Again, the timing of the garbage collection may be inopportune. Instead, they imply that the garbage collector discharge a complete garbage collection as soon as it can in either or both of two ways:1.  Request garbage collection to happen as soon as possible: This artery proves useful when the programmer knows he or she has a "break" to garbage collect. For example, after a great image is loaded into reminiscence and scaled, the reminiscence footprint is large. Forcing a garbage collection to occur at that point is wise. Another honorable region may be after a great message has been processed in the application and is no longer needed.2.  Schedule garbage collection to occur at a fixed rate: This artery is optimal when the programmer does not abide a specific jiffy when he knows his application can quit shortly and garbage collect. Normally, most applications are written in this manner.

    Listing 1 introduces a class named "BetterControlOfGC". It's a utility class that provides the methods described earlier. There are two public methods: "suggestGCNow()" and "scheduleRegularGC(milliseconds)" that respectively correspond to the steps described earlier. Line 7 suggests to the VM to garbage collect the unreachable objects as soon as possible. The documentation makes it clear that the garbage collection may not occur instantaneously, but relish has shown that it will be performed as soon as the VM is able to accomplish the task. Invoking the artery on line 25 causes garbage collection to occur at a fixed rate as determined by the parameter to the method.

    In scheduling the GC to occur at a fixed rate, a garbage collection stimulator task, GCStimulatorTask, is utilized. The code extends the "java.util.timer" thread in line 10. No fresh thread is created; the processing runs on the separate timer thread available rise with the Java 1.3 environment. Similarly, to withhold the processing lean, the GC stimulator follows the Singleton pattern as shown by lines 18-23 and line 27. There can be only one stimulator per application, where an application is any code running on an instance of the JVM.

    We imply that you set the interval at which the garbage collector runs from a Java property file. Thus you can tune the application without having to recompile the code. Write some simple code to read a property file that's either a parameter on the command line or a resource bundle in the class path. status the command parameter "-verbose:gc" on your executable command line and measure the time it takes to garbage collect. Tune this number until you achieve the results you want. If the budget allows, experiment with other virtual machines and/or hardware.

    Step 3: Store Persistent Objects into Persistent Data Areas or Store Long-Lived Objects in PoolsUsing persistent data areas is purely optional. It supports the underlying premise of this article. In order to bind the disruption of the garbage collector in your application, construct its job easy. If you know that an remonstrate or collection of objects would live for the duration of your application, let the collector know. It would be nice if the Java environment provided some sort of flag that could be placed on objects upon their creation to order the garbage collector "-keep out". However, there is currently no such means. (The Real-Time Specification for Java describes an region of reminiscence called "Immortal Memory" where objects live for the duration of the application and garbage collection should not run.) You may try using a database; however, this may tedious down your application even more. Another solution currently under the Java Community Process is JSR 107. JCache provides a touchstone set of APIs and semantics that allow a programmer to cache frequently used data objects for the local JVM or across JVMs. This API is still under review and may not be available yet. However, they believe it holds much covenant for the Java developer community. withhold this avenue open and in repartee for future architectures. What can they enact now?

    The pooling of objects is not fresh to real-time programmers. The concept is to create impeccable your expected data objects before you launch processing, then impeccable your data can be placed into structures without the expense of instance creation during processing time. This has the odds of keeping your reminiscence footprint stable. It has the detriment of requiring a "deep copy" artery to be written to store the data into the pool. (If you simply set an remonstrate to another, you're changing the remonstrate reference and not reusing the identical space.) The nanosecond expense of the abysmal copy is far less than that of the remonstrate instance creation.

    If the data pooling technique is combined with the proper employ of the "nullify" technique, garbage collection becomes optimized. The reasons are fairly straightforward:1.  Since the remonstrate is set to null immediately after the abysmal copy, it lives only in the green generation portion of the memory. It does not progress into the older generations of reminiscence and thus takes less of the garbage collector's cycle time.2.  Since the remonstrate is nullified immediately and no other reference to it exists in some other collection remonstrate in the application, the job of the garbage collector is easier. In other words, the garbage collector does not abide to withhold track of an remonstrate that exists in a collection.

    When using data pools, it's sapient to employ the parameters "-XX:+UseConcMarkSweepGC -XX:MaxTenuringThreshold=0 -XX:SurvivorRatio=128" on the command line. These order the JVM to Move objects on the first sweep from the fresh generation to the old. It commands the JVM to employ the concurrent notice sweep algorithm on the used generation that proves more efficient since it works "concurrently" for a multi-processor platform. For separate processor machines, try the "-Xincgc" option. We've seen those long garbage collector pauses, which occur after hours of execution, disappear using this technique and these parameters. Performing well in the long elope is the proper profit of this terminal step.

    Performance ResultsTypically, most engineers want proof before changing their approach to designing and coding. Why not? Since we're now suggesting that even Java programmers should be concerned about resource allocation, it better be worth it! Once upon a time, assembly language and C programmers spent time tweaking reminiscence and register usage to better performance. This step was necessary. Now, as higher-level object-oriented programmers they may disdain this thought. This pattern has dared to imply that such considerations, although not as low flat as registers and reminiscence addresses (instead at the remonstrate level), are still necessary for high-performance coding. Can it be true?

    The underlying premise is that if you know how your engine works, you can drive it better to obtain optimal performance and endurance. This is as proper for my 1985 300TD (Mercedes, five cylinder, turbo diesel station wagon) with 265,000 miles as for my Java code running on a HotSpot VM. For instance, knowing that a diesel's optimal performance is when the engine is warm since it relies on compression for power, I let my car warm up before I "push it." Similarly, I don't overload the vehicle with the tons of stuff I could status in the tailgate. HotSpot fits the analogy. Performance improves after the VM "warms up" and compiles the HotSpot code into the endemic language. I moreover withhold my reminiscence footprint lanky and light. The comparison breaks down after awhile, but the basic verity does not change. You can employ a system the best when you understand how it works.

    Our challenge to you is to bewitch statistics before and after implementing this pattern on just a tiny portion of your code. gratify recognize that the gain will be best exemplified when your application is scaled upward. In other words, the heavier the load on the system, the better the results.

    The following statistics were taken after the pattern was applied. They are charted as:1.  Limited nullify artery invocation is used where only the incoming messages are not "nullified." (The remnant of the application from which the statistics were taken was left intact with a very lanky reminiscence usage.) There is no forced garbage collection.2.  Nullify artery invocation and forced garbage collection is utilized.

    The test environment is a Microsoft Windows 2000 X86 Family 15 Model 2 Stepping 4 Genuine Intel ~1794MHz laptop running the BEA WebLogic Server 7.0 with Service Pack 7.1 with a physical reminiscence size of 523,704KB. The Java Message Server (JMS server), a track generator, and a tactical display are impeccable running on the identical laptop over the local developer network (MAGIC). The server makes no optimizations, even though each application resides locally. The JVMs are treated as if they were distributed across the network. They're running on the J2SE 1.4.1 release.

    The test target application is a Java sway Tactical display with complete panning, zooming, and track-hooking capabilities. It receives bundles of tracks via the Java Message Service that are displayed at their proper location on the given image. Each track is approximately 88 bytes and the overall container size is about 70 bytes. This byte measurement does not embrace impeccable the additional class information that's moreover sent during serialization. The container is the message that holds an array of tracks that contains information such as time and number of tracks. For their tests, the tracks are sent at a 1Hz rate. Twenty sets of data are captured.

    To illustrate the test environment, a screen capture of a 5,000 track load (4,999 tracks plus the ship) is shown in figure 1. The background shows tracks rendered with the Military touchstone 2525B symbology over an image of the Middle East. The tiny window titled "Track Generator Desktop" is a minimized window showing the parameters of the test set through the track generator application. Notice that 45 messages had been sent at the time of the screen capture. Directly beneath this window sits the Windows task Manager. Note that the CPU utilization is at 83%. At first this doesn't appear that bad. But at that rate, there isn't much leeway for the user to launch zooming, panning, hooking tracks, and so on. The final command window to the perquisite is that of the tactical display application. The parameter "-verbose:gc" is placed on the Java command line (java -verbose:gc myMainApplication.class). The VM is performing the listed garbage collection at its own rate, not by command of the application.

    The final test of 10,000 tracks performed extremely poorly. The system does not scale; the CPU is pegged. At this point most engineers may jeer at Java again. Let's bewitch another examine after implementing the pattern.

    After implementation, where the nullify methods are invoked properly and garbage collection is requested at a sporadic interval (2Hz), histrionic improvements are realized. The terminal test of 10,000 tracks proves that the processor still has plenty of leeway to enact more work. In other words, the pattern scales very well.

    Performance SummaryThe pattern to befriend control garbage collection pauses most definitely improves the overall performance of the application. Notice how well the pattern scales under the heavier track loads in the performance bar chart in figure 2. The darker middle bar shows the processor utilization at each flat of the message (track) load. As the message traffic increases, the processor utilization grows more slowly than without the pattern. The terminal light-colored bar shows the improved performance. The main might of the pattern is how well it scales under heavy message loads.

    There is another subtle might to the pattern. This one is difficult to measure since it requires very long-lived tests. If Step 3 is faithfully followed, those horribly long garbage collection pauses that occur after hours of running disappear. This is a key profit to the pattern since most of their applications are designed to elope "forever."

    We're confident that many other Java applications would profit from implementing this very simple pattern.

    The steps to control garbage collection pauses are:1.  Set impeccable objects that are no longer in employ to null and construct positive they're not left within some collection. "Nullify" objects.2.  compel garbage collection to occur both:

  • After some major memory-intense operation (e.g., scaling an image)
  • At a sporadic rate that provides the best performance for your application3.  rescue long-lived data in a persistent data region if feasible or in a pool of data and employ the confiscate garbage collector algorithm.

    By following these three simple steps, you'll avoid those bothersome garbage collection pauses and relish impeccable the benefits of the Java environment. It's time the Java environment was fully utilized in mission-critical display systems.

    References

  • Gupta, A., and Doyle, M. "Turbo-Charging the Java HotSpot Virtual Machine, v1.4.x to better the Performance and Scalability of Application Servers": http://developer.java.sun.com/developer/ technicalArticles/Programming/turbo/
  • JSR 1, Real-Time Specification for Java: http://jcp.org/en/jsr/detail?id=1
  • Java HotSpot VM options: http://java.sun.com/docs/hotspot/VMOptions.html
  • Java Specification Request for JCache: http://jcp.org/en/jsr/detail?id=107

  • Silverlight v1.0 Beta vs. Silverlight 1.1 Alpha - Huh?? | killexams.com real questions and Pass4sure dumps

    By Kevin Hoffman

    Article Rating:

    May 2, 2007 11:15 AM EDT

    Reads:

    20,088 Kevin Hoffman's Blog

    The short of the record is that Silverlight 1.0 applications don't advocate code-behind, they don't advocate making unpretentious XML calls back to a web service (despite some other people's claims to the contrary, 1.0 will not let you enact this!), and there is no real two-way binding (though you can set values of controls in response to events, which is what I call "old school" binding).

    Silverlight 1.1, however.. now this entire project is actually starting to present some promise. For starters, Silverlight 1.1:

  • Supports communication via XML over HTTP, which makes it model for "RESTy POX". Note that the 1.1 alpha version doesn't allow cross-domain access, so you'll still abide to drop in server-side service proxies for accessing remote services (which is actually more secure anyway....)
  • You can write "code behind" your Silverlight apps in C# or VB.NET
  • You can write your Silverlight apps using the Dynamic Language Runtime, which means you find to employ VB9 or IronPython.
  • Still has impeccable the wealthy media/video advocate that Silverlight 1.0 has
  • Create a "Silverlight" project from Visual Studio "Orcas" Beta 1.
  • I'm going to be looking into this further and will be posting my thoughts on it, but now that they can finally play with a "real" version of Silverlight, they can hopefully quit the dementia that was the 1.0 version.

    tags: silverlight  beta  alphalinks: digg this  del.icio.us  technorati  reddit

    Kevin Hoffman, editor-in-chief of SYS-CON's iPhone Developer's Journal, has been programming since he was 10 and has written everything from DOS shareware to n-tier, enterprise web applications in VB, C++, Delphi, and C. Hoffman is coauthor of Professional .NET Framework (Wrox Press) and co-author with Robert Foster of Microsoft SharePoint 2007 evolution Unleashed. He authors The .NET Addict's Blog at .NET Developer's Journal.

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