期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Intelligent Server Management Framework over Extensible Messaging and Presence Protocol 认领 引用
1
作者 斯佩峰 宋川 周翔 《China Communications》 SCIE CSCD 2013年第5期128-136,共9页
With the increasing importance of cloud services worldwide, the cloud infrastructure and platform management has become critical for cloud service providers. In this paper, a novel architecture of intelligent server m... With the increasing importance of cloud services worldwide, the cloud infrastructure and platform management has become critical for cloud service providers. In this paper, a novel architecture of intelligent server management framework is proposed. In this framework, the communication layer is based on the Extensible Messaging and Presence Protocol (XMPP), which was developed for instant messaging and has been proven to be highly mature and suitable for mobile and large scalable deployment due to its extensibility and efficiency. The proposed architecture can simplify server management and increase flexibility and scalability when managing hundreds of thousands of servers in the cloud era. 展开更多
关键词 cloud computing server management XMPP federation mobile push intelligent
暂未订购 下载PDF
Tuning parallel symbolic execution engine for better performance 认领 引用 被引量:3
2
作者 Anil Kumar KARNA Jinbo DU +5 位作者 Haihao SHEN Hao ZHONG Jiong GONG Haibo YU Xiangning MA: Jianjun ZHAO 《Frontiers of Computer Science》 SCIE EI CSCD 2018年第1期86-100,共15页
Symbolic execution is widely used in many code analysis, testing, and verification tools. As symbolic execu- tion exhaustively explores all feasible paths, it is quite time consuming. To handle the problem, researcher... Symbolic execution is widely used in many code analysis, testing, and verification tools. As symbolic execu- tion exhaustively explores all feasible paths, it is quite time consuming. To handle the problem, researchers have par- alleled existing symbolic execution tools (e.g., KLEE). In particular, Cloud9 is a widely used paralleled symbolic exe- cution tool, and researchers have used the tool to analyze real code. However, researchers criticize that tools such as Cloud9 still cannot analyze large scale code. In this paper, we con- duct a field study on Cloud9, in which we use KLEE and Cloud9 to analyze benchmarks in C. Our results confirm the criticism. Based on the results, we identify three bottlenecks that hinder the performance of Cloud9: the communication time gap, the job transfer policy, and the cache management of the solved constraints. To handle these problems, we tune the communication time gap with better parameters, modify the job transfer policy, and implement an approach for cache management of solved constraints. We conduct two evalua- tions on our benchmarks and a real application to understand our improvements. Our results show that our tuned Cloud9 reduces the execution time significantly, both on our bench- marks and the real application. Furthermore, our evaluation results show that our tuning techniques improve the effective- ness on all the devices, and the improvement can be achievedupto five times, depending upon a tuning value of our ap- proach and the behaviour of program under test. 展开更多
关键词 code analysis symbolic execution parallelizingsymbolic execution KLEE Ctoud9
暂未订购 下载PDF
上一页 1 下一页 到第
在线咨询 使用帮助 返回顶部 意见反馈