Analysis of enterprise media server workloads: Access patterns, locality, content evolution, and rates of change

被引:69
作者
Cherkasova, L [1 ]
Gupta, M
机构
[1] Hewlett Packard Labs, Palo Alto, CA 94303 USA
[2] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA
关键词
access patterns; content evolution; dynamics; enterprise media servers; locality; sharing patterns; static and temporal properties; workload analysis;
D O I
10.1109/TNET.2004.836125
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Understanding the nature of media server workloads is crucial to properly designing and provisioning current and future media services. The main issue we address in this paper is the workload analysis of today's enterprise media servers. This analysis aims to establish a set of properties specific to the enterprise media server workloads and to compare them to well-known related observations about the web server workloads. We partition the media workload properties in two groups: static and temporal. While the static properties provide more traditional and general characteristics of the underlying media fileset and quantitative properties of client accesses to those files (independent of the access time), the temporal properties reflect the dynamics and evolution of accesses to the media content over time. We propose two new metrics characterizing the temporal properties: 1) the new files impact metric characterizing the site evolution due to new content and 2) the life span metric reflecting the rates of change in accesses to the newly introduced files. We illustrate these new metrics with the analysis of two different enterprise media server workloads collected over a significant period of time.
引用
收藏
页码:781 / 794
页数:14
相关论文
共 21 条
[1]  
Acharya S., 1998, P ACM SPIE MULT COMP, P166
[2]  
Almeida J. M., 2001, P 11 INT WORKSH NETW, P21, DOI [10.1145/378344.378348, DOI 10.1145/378344.378348]
[3]  
Almeida V, 1996, PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED INFORMATION SYSTEMS, P92, DOI 10.1109/PDIS.1996.568672
[4]  
[Anonymous], P ACM SPIE MULT COMP
[5]  
ARLITT MF, 1996, P ACM SIGMETRICS 96, P126, DOI DOI 10.1145/233013.233034
[6]  
BARFORD P, 1998, TR1998023 BOST U
[7]  
Breslau L, 1999, IEEE INFOCOM SER, P126, DOI 10.1109/INFCOM.1999.749260
[8]   Dynamics and evolution of web sites: Analysis, metrics and design issues [J].
Cherkasova, L ;
Karlsson, M .
PROCEEDINGS OF THE SIXTH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS, 2001, :64-71
[9]  
CHERKASOVA L, 2002, HPL200256 HP LAB REP
[10]  
Chesire M, 2001, USENIX ASSOCIATION PROCEEDINGS OF THE 3RD USENIX SYMPOSIUM ON INTERNET TECHNOLOGIES AND SYSTEMS, P1