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A methodology for workload characterization of E-commerce sites
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Source Electronic Commerce archive
Proceedings of the 1st ACM conference on Electronic commerce table of contents
Denver, Colorado, United States
Pages: 119 - 128  
Year of Publication: 1999
ISBN:1-58113-176-3
Authors
Daniel A. Menascé  Dept. of Computer Science, George Mason University, Fairfax, VA
Virgilio A. F. Almeida  Dept. of Computer Science, Univ. Federal de Minas Gerais, Belo Horizonte, MG 30161, Brazil
Rodrigo Fonseca  Dept. of Computer Science, Univ. Federal de Minas Gerais, Belo Horizonte, MG 30161, Brazil
Marco A. Mendes  Dept. of Computer Science, Univ. Federal de Minas Gerais, Belo Horizonte, MG 30161, Brazil
Sponsor
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 20,   Downloads (12 Months): 120,   Citation Count: 42
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
B. Everitt, Cluster Analysis, Halsted Press, New York, 1980
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M. Calzarossa and G. Serazzi, Workload Characterization: A Survey, Proceedings of the IEEE, Vol. 81, No. 8, August 1993.
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L. Cherkasova and P. Phaal, Session Based Admission Control: A Mechanism for Improving the Performance of an Overloaded Web Server, HPL-98-119, HP Labs Technical Reports, 1998.
 
7
D. Ferrari, G. Serazzi, and A. Zeigner, Measurement and Tuning of Computer Systems, Upper Saddle River, Prentice Real, 1983.
 
8
GVU's WWW User Surveys, http:////www, gvu. gat ech. ed u//user_surveys//
 
9
D. Krishnamurthy and J. Rolia, Predicting the Performance of an E-Commerce Server: Those Mean Percentiles, in Prec. First Workshop on Internet Server Performance, ACM SIGMETRICS 98, June 1998.
 
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Menasc~, D. A., V. A. F. Almeida, R. Fonseca, M. A. Mendes, Resource Allocation Policies for E- commerce Servers, in Prec. Second Workshop on Internet Server Performance, held in conjunction with ACM Sigmetrics'99, Atlanta, GA, May 1, 1999.
 
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Pitkow, J. and P. Pirolli, Mining Longest Repeating Subsequences to Predict World Wide Web Surfing, Prec. 2nd. Usenix Symposium on Internet Technologies and Systems, Boulder, CO, October 1999.
 
15
Nielsen, J., http:////www, useit, corn//alert box//990207, ht ml
 
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CITED BY  42

Collaborative Colleagues:
Daniel A. Menascé: colleagues
Virgilio A. F. Almeida: colleagues
Rodrigo Fonseca: colleagues
Marco A. Mendes: colleagues