In this paper, we adopt Java platform to achieve a multi-tier distributed object enterprise computing model which provides an open, flexible, robust and cross-platform standard for enterprise applications of new gener...In this paper, we adopt Java platform to achieve a multi-tier distributed object enterprise computing model which provides an open, flexible, robust and cross-platform standard for enterprise applications of new generation. In addition to this model, we define remote server objects as session or entity objects according to their roles in a distributed application server, which separate information details from business operations for software reuse. A web store system is implement by using this multi-tier distributed object enterprise computing model.展开更多
Recently,research on a distributed storage system that efficiently manages a large amount of data has been actively conducted following data production and demand increase.Physical expansion limits exist for tradition...Recently,research on a distributed storage system that efficiently manages a large amount of data has been actively conducted following data production and demand increase.Physical expansion limits exist for traditional standalone storage systems,such as I/O and file system capacity.However,the existing distributed storage system does not consider where data is consumed and is more focused on data dissemination and optimizing the lookup cost of data location.And this leads to system performance degradation due to low locality occurring in a Wide Area Network(WAN)environment with high network latency.This problem hinders deploying distributed storage systems to multiple data centers over WAN.It lowers the scalability of distributed storage systems to accommodate data storage needs.This paper proposes a method for distributing data in a WAN environment considering network latency and data locality to solve this problem and increase overall system performance.The proposed distributed storage method monitors data utilization and locality to classify data temperature as hot,warm,and cold.With assigned data temperature,the proposed algorithm adaptively selects the appropriate data center and places data accordingly to overcome the excess latency from the WAN environment,leading to overall system performance degradation.This paper also conducts simulations to evaluate the proposed and existing distributed storage methods.The result shows that our proposed method reduced latency by 38%compared to the existing method.Therefore,the proposed method in this paper can be used in large-scale distributed storage systems over a WAN environment to improve latency and performance compared to existing methods,such as consistent hashing.展开更多
The low bandwidth hinders the development of mobile computing.Besides providing relatively higher bandwidth on communication layer, constructing adaptable upper application is important. In this paper, a framework of ...The low bandwidth hinders the development of mobile computing.Besides providing relatively higher bandwidth on communication layer, constructing adaptable upper application is important. In this paper, a framework of autoadapting distributed object is proposed, and evaluating methods of object performance are given as well. Distributed objects can adjust their behaviors automaticallyin the framework and keep in relatively good performance to serve requests of remoteapplications. It is an efficient way to implement the performance transparency formobile clients.展开更多
JAPS-Ⅱ（Java automatic parallelizing system version 2）是一个Java源代码重构编译器,用来发现和实现串行Java程序中对象内和对象间的并行性.其目标体系结构为基于工作站网络环境的分布式存储器计算机系统.介绍了JAPS-Ⅱ的体系结构...JAPS-Ⅱ（Java automatic parallelizing system version 2）是一个Java源代码重构编译器,用来发现和实现串行Java程序中对象内和对象间的并行性.其目标体系结构为基于工作站网络环境的分布式存储器计算机系统.介绍了JAPS-Ⅱ的体系结构和实现JAPS-Ⅱ的关键技术,包括用于对象并行性分析的数据流分析技术、提高对象并行性和减少运行开销的优化技术以及类重构和代码生成技术.测试结果表明,JAPS-Ⅱ能够有效地发现循环中和对象内、对象间的并行性,获得加速比.这种技术也可应用于其他面向对象语言的并行化.展开更多
空间信息技术和网络技术融合，形成了一个基于Internet的WebGIS热门研究课题。分析了互联网信息时代的WebGIS的几种实现方案，比较了其优缺点；提出了在微软公司的Windows DNA（Distributed interNet Application）环境下的基于DCOM（Di...空间信息技术和网络技术融合，形成了一个基于Internet的WebGIS热门研究课题。分析了互联网信息时代的WebGIS的几种实现方案，比较了其优缺点；提出了在微软公司的Windows DNA（Distributed interNet Application）环境下的基于DCOM（Distributed Component Object Model）技术的3层结构的WebGIS的系统设计与实现方案。展开更多
文摘In this paper, we adopt Java platform to achieve a multi-tier distributed object enterprise computing model which provides an open, flexible, robust and cross-platform standard for enterprise applications of new generation. In addition to this model, we define remote server objects as session or entity objects according to their roles in a distributed application server, which separate information details from business operations for software reuse. A web store system is implement by using this multi-tier distributed object enterprise computing model.
基金This research was supported by the Chung-Ang University Graduate Research Scholarship in 2021.This study was carried out with the support of‘R&D Program for Forest Science Technology(Project No.2021338C10-2223-CD02)’provided by Korea Forest Service(Korea Forestry Promotion Institute).
文摘Recently,research on a distributed storage system that efficiently manages a large amount of data has been actively conducted following data production and demand increase.Physical expansion limits exist for traditional standalone storage systems,such as I/O and file system capacity.However,the existing distributed storage system does not consider where data is consumed and is more focused on data dissemination and optimizing the lookup cost of data location.And this leads to system performance degradation due to low locality occurring in a Wide Area Network(WAN)environment with high network latency.This problem hinders deploying distributed storage systems to multiple data centers over WAN.It lowers the scalability of distributed storage systems to accommodate data storage needs.This paper proposes a method for distributing data in a WAN environment considering network latency and data locality to solve this problem and increase overall system performance.The proposed distributed storage method monitors data utilization and locality to classify data temperature as hot,warm,and cold.With assigned data temperature,the proposed algorithm adaptively selects the appropriate data center and places data accordingly to overcome the excess latency from the WAN environment,leading to overall system performance degradation.This paper also conducts simulations to evaluate the proposed and existing distributed storage methods.The result shows that our proposed method reduced latency by 38%compared to the existing method.Therefore,the proposed method in this paper can be used in large-scale distributed storage systems over a WAN environment to improve latency and performance compared to existing methods,such as consistent hashing.
文摘The low bandwidth hinders the development of mobile computing.Besides providing relatively higher bandwidth on communication layer, constructing adaptable upper application is important. In this paper, a framework of autoadapting distributed object is proposed, and evaluating methods of object performance are given as well. Distributed objects can adjust their behaviors automaticallyin the framework and keep in relatively good performance to serve requests of remoteapplications. It is an efficient way to implement the performance transparency formobile clients.
文摘JAPS-Ⅱ（Java automatic parallelizing system version 2）是一个Java源代码重构编译器,用来发现和实现串行Java程序中对象内和对象间的并行性.其目标体系结构为基于工作站网络环境的分布式存储器计算机系统.介绍了JAPS-Ⅱ的体系结构和实现JAPS-Ⅱ的关键技术,包括用于对象并行性分析的数据流分析技术、提高对象并行性和减少运行开销的优化技术以及类重构和代码生成技术.测试结果表明,JAPS-Ⅱ能够有效地发现循环中和对象内、对象间的并行性,获得加速比.这种技术也可应用于其他面向对象语言的并行化.
