DocumentCode
1672203
Title
Comparison of predictive techniques in cluster-based network servers with resource allocation
Author
Gilly, Katja ; Alcaraz, Salvador ; Juiz, Carlos ; Puigjaner, Ramon
Author_Institution
Dep. de Fisica y Arquitectura de Computadores, Univ. Miguel Hernandez, Elche, Spain
fYear
2004
Firstpage
545
Lastpage
552
Abstract
Predictive algorithms play a crucial role in system management by alerting it to future events that may degrade the global performance of the system. Our paper proposes a predictive algorithm for a Web switch that manages a cluster of Web servers. Several throughput predictive techniques have been studied to balance the workload dynamically according to a predetermined quality of service for different types of users, and finally we have obtained the best that fits in our algorithm. In order to reduce the checking time, estimations are only computed in a variable slot scheduling.
Keywords
computer network management; network servers; parameter estimation; prediction theory; quality of service; resource allocation; scheduling; QoS; Web cluster; Web server cluster; Web switch; checking time; cluster-based network servers; predictive algorithms; predictive techniques; quality of service; resource allocation; system management; variable slot scheduling; Clustering algorithms; Degradation; Network servers; Prediction algorithms; Processor scheduling; Quality of service; Resource management; Switches; Throughput; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings. The IEEE Computer Society's 12th Annual International Symposium on
ISSN
1526-7539
Print_ISBN
0-7695-2251-3
Type
conf
DOI
10.1109/MASCOT.2004.1348311
Filename
1348311
Link To Document