Analysis of Garbage Collection Algorithms and Memory Management in Java

Pufek, Paula; Grgic, H.; Mihaljević, Branko

doi:10.23919/mipro.2019.8756844

Cited by 23 publications

(7 citation statements)

References 6 publications

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“…The applications of Java multiple threads help to perform numerous programming operations in a single processing of data through programming language as the threads are easily accessible as pointed out in Figure 6.1. This includes the simplifying of programming execution at the time of inputting the information in the programming [2,12]. This also develops the difficulties faced by the language interpreter thus making the reduction of the production and Fig.…”

Section: Mitigation Of Data Processingmentioning

confidence: 99%

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Multi-Threaded Data Communication in Java for Advanced Computing Environments

Wang,

Yang

2023

SCPE

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The performance of operating systems like computers requires the proper functioning of the computer language interpreter. This interpreter follows various types of programming languages that make the performing of computer programming easy and effective. The application of the programming language of Java helps in processing multiple tasks at once. This research analyzes the novelty of Java-based data communication models in advanced computing services. This performance makes the saving of the resources used for the development of the programming language. All these development includes the performing of the multiple threads communication data processing. These multiple threads help distribute the single processed input in the multi-channel language processing, thus helping the work competition in time. It also reduces the cost of maintaining the programming languages reduced. Thus, the implementing cost of resources required for programming performance is reduced. Therefore, this implementation impacts the programmer to become more indented to use the language transformation process of Java. Moreover, it creates a more effective representation of the audio or visual content represented by a multi-tasking operating system. In this process of development in the language transformation of the operating system, the ability of the operating system for data processing improves. The systematic process of this language transformation helps in systematically transforming multiple programs at once.

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Section: Mitigation Of Data Processingmentioning

confidence: 99%

“…This helps in solving all the issues. It gives the opportunity of performing multitasking efficiently in a short period of time [12]. The difficulties of the programming task are also solved by the application of the Java programming computing language.…”

Section: Mitigation Of Data Processingmentioning

confidence: 99%

Multi-Threaded Data Communication in Java for Advanced Computing Environments

Wang,

Yang

2023

SCPE

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“…JDK Mission Control (JMC) 19 was used to analyze the recording. Table 6 summarizes the important results.…”

Section: Jfr Analysismentioning

confidence: 99%

Considerations for integrating virtual threads in a Java framework: a Quarkus example in a resource-constrained environment

Navarro

Ponge

Mouël

et al. 2023

Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems

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Virtual threads are a highly anticipated feature in the Java world, aiming at improving resource efficiency in the JVM for I/O intensive operations while simplifying developer experience. This feature keeps the traditional thread abstraction and makes it compatible with most of the existing Java applications, allowing developers preferring synchronous imperative abstractions to benefit from better performance without switching to asynchronous and reactive programming models. However, limitations currently hinder the usability of virtual threads. These limitations must be considered when building a piece of software around virtual threads for they might have non-trivial effects. This paper (i) discusses the different strategies envisioned to leverage virtual threads in the Quarkus framework, (ii) gives an overview of the final implementation, (iii) presents the benchmark used to characterize the benefits of using virtual threads in a typical container environment where resources are scarce compared to using Quarkus with traditional thread pools and Quarkus with reactive libraries ; (iv) results are interpreted and discussed. Our study reveals that the integration of virtual threads in Quarkus doesn't perform as well as Quarkus-reactive. This seems to be due to a mismatch between the core hypothesis of Netty and virtual threads regarding the amount of threads available.

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“…GraalVM architecture starts with Java HotSpot VM at the bottom of the system stack. HotSpot VM's components that are not directly connected to the compilation process are being reused, comprising of Java Native Interface (JNI), interpreter, class libraries, class loading, as well as Garbage Collectors (GC) which efficiency is suitable and sufficient for the next generation of high-performance compilers [12], as tested in [13] and [14].…”

Section: A Graalvm Systemmentioning

confidence: 99%

“…Helidon, https://helidon.io/12 Micronaut, https://micronaut.io/13 Renaissance Suite, https://renaissance.dev/14 DaCapo benchmark suite, http://dacapobench.org/ 15 SPECjvm2008 benchmark suite, https://www.spec.org/jvm2008/…”

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confidence: 99%

Enhancing Performance of Cloud-based Software Applications with GraalVM and Quarkus

Šipek

Muharemagic

Mihaljević

et al. 2020

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)

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Increased complexity of network-based software solutions and the ever-rising number of concurrent users forced a shift of the IT industry to cloud computing. Conventional network software systems commonly based on monolithic application stack running on costly physical single-purpose servers are affected by significant problems of resource management, computing power distribution, and scalability. Such implementation is restricting applications to be reduced to smaller, independent services that can be more easily deployed, managed, and scaled dynamically; therefore, embellishing environmental uniformity across development, testing, and production. Current cloud-based infrastructure frequently runs on containers placed in Kubernetes or Docker-based cluster, and the system configuration is considerably different compared to the environment prevailed with common virtualizations. This paper discusses the usage of GraalVM, a polyglot high-performance virtual machine for JVM-based and other languages, combined with new Kubernetes native Java tailored stacked framework named Quarkus, formed from enhanced Java libraries. Moreover, our research explores GraalVM's creation of native images using Ahead-Of-Time (AOT) compilation and Quarkus' deployment to Kubernetes. Furthermore, we examined the architectures of given systems, various performance variables, and differing memory usage cases within our academic testing environment and presented the comparison results of selected performance measures with other traditional and contemporary solutions.

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Analysis of Garbage Collection Algorithms and Memory Management in Java

Cited by 23 publications

References 6 publications

Multi-Threaded Data Communication in Java for Advanced Computing Environments

Multi-Threaded Data Communication in Java for Advanced Computing Environments

Considerations for integrating virtual threads in a Java framework: a Quarkus example in a resource-constrained environment

Enhancing Performance of Cloud-based Software Applications with GraalVM and Quarkus

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