Title :
Enhanced Demand-driven Service Differentiation Algorithm in Web Clusters
Author :
Wu, Xiaochang ; Li, Mingshi ; Wu, Jianxin
Author_Institution :
Dept. of Comput. Sci., Xiamen Univ.
Abstract :
The e-commerce applications based on Web cluster are expected to provide differentiated services to different users. The latest proposed DDSD (demand-driven service differentiation) algorithm for Web cluster was QoS-aware. It used M/M/1 queuing system to model single back-end Web server node. But many works show that the service time of Web server can be represented by independently and identically distributed random variables. The M/G/1 queuing model is inherently more adaptive than M/M/1 model on describing the service time of Web server. In this paper, DDSD is enhanced with M/G/1 to model the Web cluster. The Web system resource planning can be characterized as a constrained optimization problem. The scheme is proposed to solve the issues of parameter measurement, weight adjusting, admission control and request dispatching for the algorithm
Keywords :
DiffServ networks; Internet; distributed algorithms; quality of service; QoS-aware; Web cluster; Web server service time; Web system resource planning; back-end Web server node; constrained optimization problem; demand-driven service differentiation algorithm; differentiated service; e-commerce application; quality of service; queuing model; queuing system; Admission control; Clustering algorithms; Constraint optimization; Dispatching; Partitioning algorithms; Random variables; Scheduling algorithm; Service oriented architecture; Switches; Web server;
Conference_Titel :
e-Business Engineering, 2006. ICEBE '06. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7695-2645-4
DOI :
10.1109/ICEBE.2006.46
