{"title":"在AgentSphere中改进了多线程代理管理的强迁移方法,实现了代理信息共享机制","authors":"K. Hasumi, M. Kai","doi":"10.1109/PACRIM.2015.7334839","DOIUrl":null,"url":null,"abstract":"We the authors of this study use mobile agents with capability of strong migration to develop AgentSphere, a platform for an autonomous parallel and distributed processing system that significantly reduces loads of the complex execution control for its users. We have successfully executed the strong migration of agents on JVM by converting their source codes. However, there has been an issue that the overhead becomes larger accompanied by migration such as when saving or restoring the data in the stack area, or when migration to the resuming position occurs during the execution of the program. In order to improve this issue, a new mechanism for the strong migration using JavaFlow was built. We report that we also built the information sharing mechanism using a distributed hash table so both the user and the system can share information of each agent effectively.","PeriodicalId":350052,"journal":{"name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improvement of strong migration method to manage multithreaded agents and implementation of mechanisms for sharing information of agents in AgentSphere\",\"authors\":\"K. Hasumi, M. Kai\",\"doi\":\"10.1109/PACRIM.2015.7334839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We the authors of this study use mobile agents with capability of strong migration to develop AgentSphere, a platform for an autonomous parallel and distributed processing system that significantly reduces loads of the complex execution control for its users. We have successfully executed the strong migration of agents on JVM by converting their source codes. However, there has been an issue that the overhead becomes larger accompanied by migration such as when saving or restoring the data in the stack area, or when migration to the resuming position occurs during the execution of the program. In order to improve this issue, a new mechanism for the strong migration using JavaFlow was built. We report that we also built the information sharing mechanism using a distributed hash table so both the user and the system can share information of each agent effectively.\",\"PeriodicalId\":350052,\"journal\":{\"name\":\"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.2015.7334839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2015.7334839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improvement of strong migration method to manage multithreaded agents and implementation of mechanisms for sharing information of agents in AgentSphere
We the authors of this study use mobile agents with capability of strong migration to develop AgentSphere, a platform for an autonomous parallel and distributed processing system that significantly reduces loads of the complex execution control for its users. We have successfully executed the strong migration of agents on JVM by converting their source codes. However, there has been an issue that the overhead becomes larger accompanied by migration such as when saving or restoring the data in the stack area, or when migration to the resuming position occurs during the execution of the program. In order to improve this issue, a new mechanism for the strong migration using JavaFlow was built. We report that we also built the information sharing mechanism using a distributed hash table so both the user and the system can share information of each agent effectively.