A major issue for distributed computing systems is partitioning of the application and generating distributed code that can run correctly and efficiently on network machines. This paper introduced a new distributed code generation method using object level analysis, which is a key function of our Java Distributed code Generating and Computing platform (JDGC). Through a novel two-level object level analysis, the communication affinity metrics between runtime objects are extracted. These object-to-object affinity metrics are then used to automatically ports standard concurrent program for single machine to the form that runs on a distributed system. The contributions of this proposal are twofold. The object level analysis technique while motivated from our integrated system for object distribution, is nevertheless a general approach for extracting object-to-object communication affinity metrics and can be used in other contexts. The distributed code generation method releases the developers from any special programming considerations for distributed environment.
PurposeTo utilize the idle computational resources in a network to collectively solve middle to large problems, this paper aims to propose an integrated distributed computing platform, Java distributed code generating and computing (JDGC).Design/methodology/approachThe proposed JDGC is fully decentralized in that every participating host is identical in function. It allows standard, single machine‐oriented Java programs to be transparently executed in a distributed system. The code generator reduces the communication overhead between runtime objects based on a detailed analysis of the communication affinities between them.FindingsThe experimental results show that JDGC can efficiently reduce the execution time of applications by utilizing the networked computational resources.Originality/valueJDGC releases the developers from any special programming considerations for distributed environment, and solves the portability problem of using system‐specific programming methods.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.