Zing:® the Best JVM for the Enterprise
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Real-Time Java for Embedded Devices: the Javamen Project*
REAL-TIME JAVA FOR EMBEDDED DEVICES: THE JAVAMEN PROJECT* A. Borg, N. Audsley, A. Wellings The University of York, UK ABSTRACT: Hardware Java-specific processors have been shown to provide the performance benefits over their software counterparts that make Java a feasible environment for executing even the most computationally expensive systems. In most cases, the core of these processors is a simple stack machine on which stack operations and logic and arithmetic operations are carried out. More complex bytecodes are implemented either in microcode through a sequence of stack and memory operations or in Java and therefore through a set of bytecodes. This paper investigates the Figure 1: Three alternatives for executing Java code (take from (6)) state-of-the-art in Java processors and identifies two areas of improvement for specialising these processors timeliness as a key issue. The language therefore fails to for real-time applications. This is achieved through a allow more advanced temporal requirements of threads combination of the implementation of real-time Java to be expressed and virtual machine implementations components in hardware and by using application- may behave unpredictably in this context. For example, specific characteristics expressed at the Java level to whereas a basic thread priority can be specified, it is not drive a co-design strategy. An implementation of these required to be observed by a virtual machine and there propositions will provide a flexible Ravenscar- is no guarantee that the highest priority thread will compliant virtual machine that provides better preempt lower priority threads. In order to address this performance while still guaranteeing real-time shortcoming, two competing specifications have been requirements. -
Java Performance Mysteries
ITM Web of Conferences 7 09015 , (2016) DOI: 10.1051/itmconf/20160709015 ITA 2016 Java Performance Mysteries Pranita Maldikar, San-Hong Li and Kingsum Chow [email protected], {sanhong.lsh, kingsum.kc}@alibaba-inc.com Abstract. While assessing software performance quality in the cloud, we noticed some significant performance variation of several Java applications. At a first glance, they looked like mysteries. To isolate the variation due to cloud, system and software configurations, we designed a set of experiments and collected set of software performance data. We analyzed the data to identify the sources of Java performance variation. Our experience in measuring Java performance may help attendees in selecting the trade-offs in software configurations and load testing tool configurations to obtain the software quality measurements they need. The contributions of this paper are (1) Observing Java performance mysteries in the cloud, (2) Identifying the sources of performance mysteries, and (3) Obtaining optimal and reproducible performance data. 1 Introduction into multiple tiers like, client tier, middle-tier and data tier. For testing a Java EE workload theclient tier would Java is both a programming language and a platform. be a load generator machine using load generator Java as a programming language follows object-oriented software like Faban [2]. This client tier will consist of programming model and it requires Java Virtual users that will send the request to the application server Machine (Java Interpreter) to run Java programs. Java as or the middle tier.The middle tier contains the entire a platform is an environment on which we can deploy business logic for the enterprise application. -
Best Practices for Moving to Openjdk-10-18
TECHNOLOGY WHITE PAPER Best Practices for Moving to OpenJDK Best Practices for Moving to OpenJDK Since Java SE 7, the OpenJDK has been the reference implementation (RI) of the Java SE standard, as dened by the relevant Java Specication Request (JSR). A project was also created for OpenJDK 6 to allow an open-source implementation of Java SE 6 to be built. Azul Systems is the project lead for OpenJDK 6. OpenJDK is licensed under the GNU Public License (GPL) version 2 with classpath exception (CPE). The CPE eliminates the viral nature of the GPL from affecting applications running on the OpenJDK. Changes to JDK Binary Distribution and Updates In September 2017, Oracle announced a series of changes to the way the JDK would be developed, This whitepaper explains what Zulu is and how to migrate distributed and updated. These changes can be applications from the Oracle JDK to the Zulu builds of summarized as follows: OpenJDK. • The release of the JDK has changed to a time-based model with two releases every year, in March and September. • Oracle has started to produce a second binary distribution of the JDK, built using only the OpenJDK Introduction source code. This is released under the GPLv2 with How the Java Development Kit (JDK) is delivered is classpath exception license, which is less restrictive changing, and these changes will impact many Java than the Oracle Binary Code License for Java SE users. From JDK 11 (to be released in September 2018) used for the Oracle JDK binary. it will no longer be possible to use the Oracle JDK in • From JDK 11, there are no functional differences production without a commercial support agreement. -
Performance Comparison of Java and C++ When Sorting Integers and Writing/Reading Files
Bachelor of Science in Computer Science February 2019 Performance comparison of Java and C++ when sorting integers and writing/reading files. Suraj Sharma Faculty of Computing, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden This thesis is submitted to the Faculty of Computing at Blekinge Institute of Technology in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Sciences. The thesis is equivalent to 20 weeks of full-time studies. The authors declare that they are the sole authors of this thesis and that they have not used any sources other than those listed in the bibliography and identified as references. They further declare that they have not submitted this thesis at any other institution to obtain a degree. Contact Information: Author(s): Suraj Sharma E-mail: [email protected] University advisor: Dr. Prashant Goswami Department of Creative Technologies Faculty of Computing Internet : www.bth.se Blekinge Institute of Technology Phone : +46 455 38 50 00 SE-371 79 Karlskrona, Sweden Fax : +46 455 38 50 57 ii ABSTRACT This study is conducted to show the strengths and weaknesses of C++ and Java in three areas that are used often in programming; loading, sorting and saving data. Performance and scalability are large factors in software development and choosing the right programming language is often a long process. It is important to conduct these types of direct comparison studies to properly identify strengths and weaknesses of programming languages. Two applications were created, one using C++ and one using Java. Apart from a few syntax and necessary differences, both are as close to being identical as possible. -
Design and Analysis of a Scala Benchmark Suite for the Java Virtual Machine
Design and Analysis of a Scala Benchmark Suite for the Java Virtual Machine Entwurf und Analyse einer Scala Benchmark Suite für die Java Virtual Machine Zur Erlangung des akademischen Grades Doktor-Ingenieur (Dr.-Ing.) genehmigte Dissertation von Diplom-Mathematiker Andreas Sewe aus Twistringen, Deutschland April 2013 — Darmstadt — D 17 Fachbereich Informatik Fachgebiet Softwaretechnik Design and Analysis of a Scala Benchmark Suite for the Java Virtual Machine Entwurf und Analyse einer Scala Benchmark Suite für die Java Virtual Machine Genehmigte Dissertation von Diplom-Mathematiker Andreas Sewe aus Twistrin- gen, Deutschland 1. Gutachten: Prof. Dr.-Ing. Ermira Mezini 2. Gutachten: Prof. Richard E. Jones Tag der Einreichung: 17. August 2012 Tag der Prüfung: 29. Oktober 2012 Darmstadt — D 17 For Bettina Academic Résumé November 2007 – October 2012 Doctoral studies at the chair of Prof. Dr.-Ing. Er- mira Mezini, Fachgebiet Softwaretechnik, Fachbereich Informatik, Techni- sche Universität Darmstadt October 2001 – October 2007 Studies in mathematics with a special focus on com- puter science (Mathematik mit Schwerpunkt Informatik) at Technische Uni- versität Darmstadt, finishing with a degree of Diplom-Mathematiker (Dipl.- Math.) iii Acknowledgements First and foremost, I would like to thank Mira Mezini, my thesis supervisor, for pro- viding me with the opportunity and freedom to pursue my research, as condensed into the thesis you now hold in your hands. Her experience and her insights did much to improve my research as did her invaluable ability to ask the right questions at the right time. I would also like to thank Richard Jones for taking the time to act as secondary reviewer of this thesis. -
Java (Software Platform) from Wikipedia, the Free Encyclopedia Not to Be Confused with Javascript
Java (software platform) From Wikipedia, the free encyclopedia Not to be confused with JavaScript. This article may require copy editing for grammar, style, cohesion, tone , or spelling. You can assist by editing it. (February 2016) Java (software platform) Dukesource125.gif The Java technology logo Original author(s) James Gosling, Sun Microsystems Developer(s) Oracle Corporation Initial release 23 January 1996; 20 years ago[1][2] Stable release 8 Update 73 (1.8.0_73) (February 5, 2016; 34 days ago) [±][3] Preview release 9 Build b90 (November 2, 2015; 4 months ago) [±][4] Written in Java, C++[5] Operating system Windows, Solaris, Linux, OS X[6] Platform Cross-platform Available in 30+ languages List of languages [show] Type Software platform License Freeware, mostly open-source,[8] with a few proprietary[9] compo nents[10] Website www.java.com Java is a set of computer software and specifications developed by Sun Microsyst ems, later acquired by Oracle Corporation, that provides a system for developing application software and deploying it in a cross-platform computing environment . Java is used in a wide variety of computing platforms from embedded devices an d mobile phones to enterprise servers and supercomputers. While less common, Jav a applets run in secure, sandboxed environments to provide many features of nati ve applications and can be embedded in HTML pages. Writing in the Java programming language is the primary way to produce code that will be deployed as byte code in a Java Virtual Machine (JVM); byte code compil ers are also available for other languages, including Ada, JavaScript, Python, a nd Ruby. -
JVM Ecosystem Report 2021 Table of Contents
JVM Ecosystem Report 2021 Table of contents Introduction 3 Report highlights 4 JDKs in production 5 JDKs in development 7 JDK versions in production environments 9 JDK versions in development 11 Java, Changing Faster Than Ever After 26 Years 12 JVM languages used for applications in production 14 Most popular IDEs 18 Tools for building applications 20 Securing vulnerabilities in the Java ecosystem with Snyk 22 Application frameworks 25 Demographics 26 The State of Spring 29 Introduction Welcome to our annual JVM ecosystem report! This report presents the results of the largest annual survey on the state of the JVM ecosystem. The survey was conducted over a period of six weeks through February and March 2021, gathering the responses of over 2000 Java developers. This year's survey is a cooperation between Snyk and Azul and was slightly different from the previous surveys. We aimed for the survey to be more concise and focus only on the most important aspects of JVM developers today. Additionally, this year every participant was allowed to choose multiple options. We believe that the way the 2021 survey was designed, we have a better and more comprehensive view of the current JVM ecosystem. In addition, in this report, we also looked at different open data sources like GitHub and Google Trends to see how that data compares to the survey results. We would like to thank everyone who participated and offered their insights on Java and JVM-related topics. For this survey, we teamed up with conferences and communities across the JVM ecosystem to reach as many developers as possible. -
JDK 9, 10 & 11: Pitfalls for the Unwary
JDK 9, 10 & 11: Pitfalls For The Unwary © Copyright Azul Systems 2015 Simon Ritter Deputy CTO, Azul Systems @speakjava © Copyright Azul Systems 2017 1 JDK 9: Big And Small Changes © Copyright Azul Systems 2017 3 JDK Compatibility § Compatibility has always been very important – Minor issues in JDK 1.4 anD JDK 5 § Deprecation introDuceD in JDK 1.1 – JDK 8 has 492 DeprecateD API elements – None haD ever been removeD – At least one release warning of removal § JDK 9 starts an overDue cleanup of the Java platform – APIs anD features removeD – Process will continue in future releases © Copyright Azul Systems 2017 JDK 9 Onwards And Compatibility Mark Reinhold Chief Architect of the OpenJDK © Copyright Azul Systems 2017 5 Module System © Copyright Azul Systems 2017 Java Platform Module System (JPMS) § The core Java libraries are now a set of modules (JEP 220) – 75 OpenJDK modules: 27 Java SE, 48 JDK – Oracle JDK: 14 additional JDK, 8 JavaFX, 2 Oracle specific § Most internal APIs now encapsulated (JEP 260) – sun.misc.Unsafe – Some can be used with command line options © Copyright Azul Systems 2017 8 Migrating Applications to JPMS § Initially, leave everything on the classpath § Anything on the classpath is in the unnamed module – All packages are exported – The unnamed module depends on all modules § Migrate to modules as required – Try automatic modules – Move existing jar Files From classpath to modulepath © Copyright Azul Systems 2017 9 Classpath v Modulepath Unnamed module jar jar jar classpath jar jar modulepath module- module- module- -
Implementing Data-Flow Fusion DSL on Clojure
CORE Metadata, citation and similar papers at core.ac.uk Provided by Hosei University Repository Implementing Data-Flow Fusion DSL on Clojure 著者 SAKURAI Yuuki 出版者 法政大学大学院情報科学研究科 journal or 法政大学大学院紀要. 情報科学研究科編 publication title volume 11 page range 1-6 year 2016-03-24 URL http://hdl.handle.net/10114/12212 Implementing Data-Flow Fusion DSL on Clojure Yuuki Sakuraiy Graduate School of Computer and Information Sciences, Hosei University, Tokyo, Japan [email protected] Abstract—This paper presents a new optimization tech- Hand fusion is powerful and sometime the fastest way, nique for programming language Clojure based on the stan- but this causes the problems of lowering the readability of dard fusion technique that merges list operations into a code. The modified code is often ugly and error prone. simplified loop. Automated fusion prevents such kind of code degrada- Short-cut fusions, foldr/build fusion, and stream fusions are tion. However, automated fusion can be applied only to standard fusion techniques used in a functional programming. limited cases. Moreover, a recent fusion technique proposed by Lippmeier. Our approach is the middle way between automatic Data flow fusion [7] can fuse loops containing several data and manual. The user of our system first insert data-flow consumers over stream operators on Haskell. However, this is fusion macro manually into the code, and then the Clojure only for Haskell. Clojure’s transducers [2] are factory func- macro processor takes care of fusion based on the data-flow tions generating abstract list objects. The functions generated by them wait evaluation as a lazy evaluation partially. -
Partner Directory Wind River Partner Program
PARTNER DIRECTORY WIND RIVER PARTNER PROGRAM The Internet of Things (IoT), cloud computing, and Network Functions Virtualization are but some of the market forces at play today. These forces impact Wind River® customers in markets ranging from aerospace and defense to consumer, networking to automotive, and industrial to medical. The Wind River® edge-to-cloud portfolio of products is ideally suited to address the emerging needs of IoT, from the secure and managed intelligent devices at the edge to the gateway, into the critical network infrastructure, and up into the cloud. Wind River offers cross-architecture support. We are proud to partner with leading companies across various industries to help our mutual customers ease integration challenges; shorten development times; and provide greater functionality to their devices, systems, and networks for building IoT. With more than 200 members and still growing, Wind River has one of the embedded software industry’s largest ecosystems to complement its comprehensive portfolio. Please use this guide as a resource to identify companies that can help with your development across markets. For updates, browse our online Partner Directory. 2 | Partner Program Guide MARKET FOCUS For an alphabetical listing of all members of the *Clavister ..................................................37 Wind River Partner Program, please see the Cloudera ...................................................37 Partner Index on page 139. *Dell ..........................................................45 *EnterpriseWeb -
Java™ Performance
JavaTM Performance The Java™ Series Visit informit.com/thejavaseries for a complete list of available publications. ublications in The Java™ Series are supported, endorsed, and Pwritten by the creators of Java at Sun Microsystems, Inc. This series is the official source for expert instruction in Java and provides the complete set of tools you’ll need to build effective, robust, and portable applications and applets. The Java™ Series is an indispensable resource for anyone looking for definitive information on Java technology. Visit Sun Microsystems Press at sun.com/books to view additional titles for developers, programmers, and system administrators working with Java and other Sun technologies. JavaTM Performance Charlie Hunt Binu John Upper Saddle River, NJ • Boston • Indianapolis • San Francisco New York • Toronto • Montreal • London • Munich • Paris • Madrid Capetown • Sydney • Tokyo • Singapore • Mexico City Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. AMD, Opteron, the AMD logo, and the AMD Opteron logo are trademarks or registered trademarks of Advanced Micro Devices. Intel and Intel Xeon are trademarks or registered trademarks of Intel Corporation. All SPARC trademarks are used under license and are trademarks or registered trademarks of SPARC Inter- national, Inc. UNIX is a registered trademark licensed through X/Open Company, Ltd. -
Aleksey Shipilev CV.Pdf
Aleksey Shipilëv Summary JVM developer and performance engineer. Locations: Experienced in and open for remote work. Relocation within Europe might be acceptable. Relocation to Russia is only acceptable under extremely favorable employment conditions. “Please read this CV carefully, there would be a quiz later” Language skills: native Russian, fluent English, atrocious German Legal status: Russian citizenship, German permanent residence Address: 14467, Germany, Potsdam [available on request, contact via email] Mobile: [available on request, contact via email] E-Mail: [email protected] Website: http s ://shipilev.net/ Specialities Java Virtual Machines, hardware and software concurrency, system and application performance tuning, performance testing methodologies and tools Education 2003-2009: MSc in Computer Science, Saint-Petersburg State University of Information Technologies, Mechanics and Optics. Graduated with Honors. Experience 2016-now: Principal Software Engineer, Red Hat OpenJDK: • Functional, performance, stability, testability improvements all over HotSpot JVM and OpenJDK class libraries. Performance consulting to development teams and community at large. • Notable projects: Shenandoah GC (JEP 189), Epsilon GC (JEP 318). • Actively participating in tracking, planning and backporting work in stable long-term- support JDK releases (11u, 8u). • Leading the development and maintenance of Java Microbenchmark Harness (jmh), Java Concurrency Stress tests (jcstress), and Java Object Layout (jol) • Maintaining builds and tests on