Overload control in QoS - aware web servers q 3

نویسندگان

  • Huamin Chen
  • Prasant Mohapatra
چکیده

7 With the explosive use of Internet, contemporary web servers are susceptible to overloads during which their services 8 deteriorate drastically and often lead to denial of services. Overloads are of more serious concerns for QoS-aware 9 servers. Evaluation of performance of QoS-aware servers in terms of the number of request completion is not very 10 meaningful. A better measure would be the number of completed sessions. In this paper, we proposed two methods to 11 prevent and control overloads in web servers by utilizing session-based relationship among HTTP requests. We first 12 exploited the dependence among session-based requests by analyzing and predicting the reference patterns. Using the 13 dependency relationships, we have derived traffic conformation functions that can be used for capacity planning and 14 overload prevention in web servers. Second, we have proposed a dynamic weighted fair sharing (DWFS) scheduling 15 algorithm to control overloads in web servers. DWFS is distinguished from other scheduling algorithms in the sense 16 that it aims to avoid processing of requests that belong to sessions that are likely to be aborted in the near future. The 17 experimental results demonstrate that DWFS can improve server responsiveness by as high as 50% while providing QoS 18 support through service differentiation for a class of application environment. 19 2002 Published by Elsevier Science B.V.

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تاریخ انتشار 2002