Access Control Based on Performance Estimation and Client Clustering in Large-Scale Distributed Systems
A large-scale distributed system provides an attractive scalable infrastructure for network services. However, the loosely coupled nature of this environment will make data access unpredictable. Today, an increasing number of network applications require not only considerations of server computation power but also accessibility for adequate job allocations. An effective mechanism of access control is important in this environment. In this paper, we present a mechanism of access control based on performance estimation and clients clustering called ACPC that can reduce the data access cost and guarantee load balance and adaptivity. With the experimental results, we show that ACPC performs better than other access control algorithms.
Large-scale Distributed System Access Control Performance Estimation Client Clustering Load balance Adaptivity
JIANG Xiaofeng XI Hongsheng SHANG Weike
Department of Automation, University of Science and Technology of China, Hefei 230021, P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
5464-5469
2012-07-01(万方平台首次上网日期,不代表论文的发表时间)