Search Results - Java Virtual Machine Clustering

Enhancing virtual machine placement efficiency in cloud data centers: a hybrid approach using multi-objective reinforcement learning and clustering strategies.

Authors: Ghasemi, Arezoo Toroghi Haghighat, Abolfazl Keshavarzi, Amin

Source: Computing; Sep2024, Vol. 106 Issue 9, p2897-2922, 26p

Subject Terms: VIRTUAL machine systems, REINFORCEMENT learning, REWARD (Psychology), SERVICE level agreements, MACHINE learning, SERVER farms (Computer network management)

Clustering JVMs with software transactional memory support

Authors: Kotselidis, Christos Luján, Mikel Ansari, Mohammad et al.

Source: Kotselidis, C, Luján, M, Ansari, M, Malakasis, K, Kahn, B, Kirkham, C & Watson, I 2010, Clustering JVMs with sof tware transactional memory support. in Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010|Proc. IEEE Int. Symp. Parallel Distrib. Process., IPDPS. IEEE, USA, 24th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2010, Atlanta, GA, 1/07/10. https://doi.org/10.1109/IPDPS.2010.5470460

Subject Terms: Parallel computing, Multithreading, 0202 electrical engineering, electronic engineering, information engineering, Distributed Sof Tware transactional memory, Java Virtual Machine clustering, 02 engineering and technology

Access URL: https://research.manchester.ac.uk/en/publications/bf7a58b8-8f24-4150-a00d-8ba6d8d74ac7
https://doi.org/10.1109/IPDPS.2010.5470460
https://www.escholar.manchester.ac.uk/uk-ac-man-scw:106010
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005470460
https://ieeexplore.ieee.org/abstract/document/5470460
https://www.research.manchester.ac.uk/portal/en/publications/clustering-jvms-with-sof-tware-transactional-memory-support(bf7a58b8-8f24-4150-a00d-8ba6d8d74ac7).html
http://ieeexplore.ieee.org/document/5470460/

Comparative Evaluation of Java Virtual Machine-Based Message Queue Services: A Study on Kafka, Artemis, Pulsar, and RocketMQ.

Authors: Chy, Md Showkat Hossain Arju, Muhammad Ashfakur Rahman Tella, Sri Manjusha et al.

Source: Electronics (2079-9292); Dec2023, Vol. 12 Issue 23, p4792, 26p

Subject Terms: REFUSE collection, VIRTUAL machine systems, RESEARCH personnel

People: KAFKA, Franz, 1883-1924

System for tuning a java virtual machine

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Authors: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Source: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Subjects: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

SYSTEM FOR TUNING A JAVA VIRTUAL MACHINE

A practical Java tool for small-molecule compound appraisal.

Authors: Amani, Parisa Sneyd, Todd Preston, Sarah et al.

Source: Journal of Cheminformatics. 2015, Vol. 7 Issue 1, p1-4. 4p.

Subject Terms: *JAVA programming language, *VIRTUAL machine systems, *COMPUTER-assisted drug design, *MOLECULES, *BIOLOGICAL systems

Platform independent dynamic Java virtual machine analysis: the Java Grande Forum benchmark suite.

Authors: Gregg, David Power, James Waldron, John

Source: Concurrency & Computation: Practice & Experience; Feb2003, Vol. 15 Issue 3-5, p459-484, 26p, 17 Charts, 2 Graphs

Subject Terms: JAVA programming language, VIRTUAL machine systems, OBJECT-oriented methods (Computer science), COMPUTER programming, OBJECT-oriented programming

A SURVEY ON MACHINE LEARNING TECHNIQUES FOR DETECTION OF CYBERATTACK AND PERPETRATOR PREDICTION.

Authors: Shanmugapriya, M. Revathy, N. P. Suresh Kumar, V.

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p259-272, 14p

Subject Terms: COMPUTER networks, INTERNET security, MACHINE learning, WIRELESS Internet, SECURITY systems

Identifying Reference Objects by Hierarchical Clustering in Java Environment

Authors: Saha, Rahul Geetha, Dr. G.

Index Terms: Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/1110.3379

Web application server clustering with distributed Java virtual machine

Authors: Lam, KT Wang, CL

Relation: The handbook of research on scalable computing technologies; 681; 166492; 658; http://hdl.handle.net/10722/118222

Availability: http://hdl.handle.net/10722/118222

Projection Pursuit algorithm for virtual machine clustering for monitoring purposes.

Authors: Mariesainte, Souad Larabi Hamdi, Khaoula

Source: 2016 International Conference on Industrial Informatics & Computer Systems (CIICS); 2016, p1-6, 6p

Web Application Server Clustering with Distributed Java Virtual Machine

Authors: King Tin Lam Cho-Li Wang

Source: Handbook of Research on Scalable Computing Technologies ISBN: 9781605666617
Web Technologies ISBN: 9781605669823

Web application server clustering with distributed Java virtual machine

Authors: Lam, KT Wang, CL

Access URL: http://hdl.handle.net/10722/118222

Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD

Authors: June Choi Jaehyun Lee Jik-Soo Kim et al.

Source: Applied Sciences, Vol 11, Iss 18, p 8476 (2021)
Applied Sciences
Volume 11
Issue 18

Subject Terms: PageRank, Technology, Apache Spark, QH301-705.5, Physics, QC1-999, 02 engineering and technology, Java Virtual Machine heap configuration, k-means clustering, Engineering (General). Civil engineering (General), transitive closure, Chemistry, resilient distributed dataset, in-memory processing framework, TeraSort, 0202 electrical engineering, electronic engineering, information engineering, memory management, TA1-2040, Biology (General), QD1-999, performance, solid-state drive

File Description: application/pdf

Access URL: https://www.mdpi.com/2076-3417/11/18/8476/pdf
https://doaj.org/article/fc90a34dc3504e5fad59ef1f4c1262d4
https://www.mdpi.com/2076-3417/11/18/8476
https://www.mdpi.com/2076-3417/11/18/8476/pdf

Persistent Reusable Java Virtual Machine unter z/OS und Linux. (German)

Authors: Beyerle, Marc Franz, Joachim Spruth, Wilhelm G.

Source: Informatik - Forschung und Entwicklung; Oct2005, Vol. 20 Issue 1, p102-111, 10p

Java thread and process performance for parallel machine learning on multicore HPC clusters

Authors: Geoffrey C. Fox Supun Kamburugamuve Saliya Ekanayake et al.

Source: 2016 IEEE International Conference on Big Data (Big Data). :347-354

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2016.html#EkanayakeKWF16
https://doi.org/10.1109/BigData.2016.7840622
https://ieeexplore.ieee.org/document/7840622/
http://ieeexplore.ieee.org/document/7840622/

Java Runtime Systems: Characterization and Architectural Implications.

Authors: Radhakrishnan, Ramesh John, Lizy Kurian

Source: IEEE Transactions on Computers; Feb2001, Vol. 50 Issue 2, p131, 16p, 6 Black and White Photographs, 12 Charts, 11 Graphs

Subject Terms: JAVA programming language software, JUST-in-time systems, VIRTUAL machine systems

Machine learning & deep learning tools in pharmaceutical sciences: A comprehensive review.

Authors: Javid, Saleem Rahmanulla, Abdul Ahmed, Mohammed Gulzar et al.

Source: Intelligent Pharmacy; Jun2025, Vol. 3 Issue 3, p167-180, 14p

Adaptive sampling-based profiling techniques for optimizing the distributed JVM runtime

Authors: Luo, Y Lam, KT Wang, CL

Source: 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS). :1-11

Subject Terms: Thread affinity, Object sharing, Thread migration, Profiling, Dynamic load balancing, Distributed shared memory systems, Access locality, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Correlation tracking, Thread stack, Sampling, Distributed Java virtual machine

Access URL: http://hub.hku.hk/bitstream/10722/125697/1/Content.pdf
http://www.ipdps.org/ipdps2010/ipdps2010-slides/session-14/IPDPS2010-ktlam-yluo-clwang.pdf?origin=publication_detail
https://ieeexplore.ieee.org/document/5470461/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005470461
http://i.cs.hku.hk/~clwang/papers/IPDPS-2010-camera-ready[1].pdf
https://dblp.uni-trier.de/db/conf/ipps/ipdps2010.html#LamLW10
http://hub.hku.hk/bitstream/10722/125697/1/Content.pdf
http://hdl.handle.net/10722/125697