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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Nakadai, S. Taniguchi, K. | 
| Copyright Year | 2007 | 
| Description | Author affiliation: Internet Syst. Res. Labs., NEC Corp., Kawasaki (Nakadai, S.; Taniguchi, K.) | 
| Abstract | Web sites occasionally experience sharp fluctuation in load. The quality of such services can be maintained by allocating servers according to the load. Such autonomic service level management requires server capacity planning. However, existing capacity planning functions cannot appropriately calculate capacity in a heterogeneous server cluster, nor can they facilitate the prioritizing of services. As a result, high-priority services may deteriorate, while the quality of low-priority services remains high. Our approach achieves appropriate capacity planning for a heterogeneous server cluster by the resolution of integer programming induced by a certain status in a system model The status is specified by the consideration of a weighted round-robin algorithm of a managed load balancer. The priority allocation function is facilitated by fuzzy control. | 
| Starting Page | 753 | 
| Ending Page | 756 | 
| File Size | 2220808 | 
| Page Count | 4 | 
| File Format | |
| ISBN | 1424407982 | 
| DOI | 10.1109/INM.2007.374705 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2007-05-21 | 
| Publisher Place | Germany | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Capacity planning Load management Quality of service Web server Round robin Fuzzy control TV Degradation Costs Middleware Capacity Planning Service Level Management Self-Management Fuzzy Control Heterogeneous Priority Allocation | 
| Content Type | Text | 
| Resource Type | Article | 
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