{"title":"Service oriented adaptive Java applications","authors":"I. Alshabani, R. Olejnik, B. Toursel","doi":"10.1145/1462802.1462810","DOIUrl":null,"url":null,"abstract":"The aim of the SOAJA project (Service Oriented Adaptive Java Applications) is to develop a service-oriented infrastructure enabling efficient application running in complex, networked computing environments (GRID). The SOAJA infrastructure provides components and services enabling static and dynamic load balancing through Java object observation. SOAJA performs large scale computing using idle CPU time of the nodes of a GRID. Java Distributed Applications consist of many objects which are processed in parallel which SOAJA allocates to each Grid nodes at runtime. In this paper, we present the mechanisms and algorithms which ensures the automatic adaptation of the application objects, in response to the computing evolutions and to modifications of the resource availability. These mechanisms permit to control the granularity of the treatment and the distribution of the application on the Grid platform.","PeriodicalId":376035,"journal":{"name":"Middleware for Service Oriented Computing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Middleware for Service Oriented Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1462802.1462810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The aim of the SOAJA project (Service Oriented Adaptive Java Applications) is to develop a service-oriented infrastructure enabling efficient application running in complex, networked computing environments (GRID). The SOAJA infrastructure provides components and services enabling static and dynamic load balancing through Java object observation. SOAJA performs large scale computing using idle CPU time of the nodes of a GRID. Java Distributed Applications consist of many objects which are processed in parallel which SOAJA allocates to each Grid nodes at runtime. In this paper, we present the mechanisms and algorithms which ensures the automatic adaptation of the application objects, in response to the computing evolutions and to modifications of the resource availability. These mechanisms permit to control the granularity of the treatment and the distribution of the application on the Grid platform.