D. A. Menasc, V. A. F. Almeida, R. Fonseca, and M.A. Mendes, "Business-oriented Resource Management Policies for E-Commerce Servers," Performance Evaluation, September 2000. Home/Search Document Not in Database Summary Related Articles Check |
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The State of the Art in Locally Distributed Web-server Systems - Cardellini, al. (2001) (11 citations) (Correct)
....QoS. To avoid that high priority trafiic may be dropped at the server, the Web server system should also have mechanisms and policies for delivering end to end QoS. Some proposals for providing differentiated service qualities to different classes of users have focused on single node Web servers [13, 18, 31, 47, 66, 72, 81, 93] and this research topic has been moved towards Web cluster based platforms only recently. A multi node Web architecture integrated with admission control and performance isolation mechanisms has been proposed in [7] Some recent research efforts focus on how providing QoS support through the Web ....
D. A. Menasc6, J. Almeida, R. Fonseca, and M. A. Mendes. Business-oriented resource management policies for e-commerce servers. Performance Evaluation, 42(2-3):223-239, Sept. 2000. 52
In Proc. Sixth IEEE Workshop on Workload.. - Towards Workload.. Self-citation (Menasc) (Correct)
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D. A. Menasc, V. A. F. Almeida, R. Fonseca, and M.A. Mendes, "Business-oriented Resource Management Policies for E-Commerce Servers," Performance Evaluation, September 2000.
Improving the Performance of Online Auction Sites.. - Rescheduling Daniel.. Self-citation (Menasce) (Correct)
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D. A. Menasce, V. A. F. Almeida, R. Fonseca, and M. Mendes. Business-oriented resource management policies for e-commerce servers. Performance Evaluation, 42(223-239), September 2000.
In Search of Invariants for E-Business Workloads - Menasce, Ribeiro, Almeida.. (1 citation) Self-citation (Menasc Almeida Fonseca) (Correct)
.... is submitting requests to an e business server is important because we can use this information for both limiting their access (using the robots.txt le for instance) or prioritizing the access of real clients to the server as a means of guaranteeing the quality of service provided by the site [10]. Several criteria can be used for identifying agent generated 10000 20000 30000 40000 50000 60000 70000 80000 90000 Tau = 100000 Tau = 10000 Tau = 1000 Tau = 100 Tau = 10 Tau = 1 200 400 600 800 1000 1200 1400 1600 Figure 15: Number of initiated sessions per day for the ....
D. A. Menasce, V. A. F. Almeida, R. Fonseca, and M. A. Mendes, \Business-oriented Resource Management Policies for E-Commerce Servers," Performance Evaluation, September 2000.
Analyzing Web Robots and Their Impact on Caching - Almeida, Menascé.. (2001) (5 citations) Self-citation (Almeida Fonseca) (Correct)
....vs. popularity graph for a typical Crawler (top) and a typical ShopBot (bottom) 3. 3 Session Layer Characterization In this layer,we target the session lengths of the robots and the semantics derived from the access pattern to functions as represented by the Customer Behavior Model Graph (CBMG) [5]. This is a state transition graph used to describe the behavior of groups of customers who exhibit similar navigational patterns. The graph has one node for each possible state (e.g. home page, browse, search, select, add, and pay) and transitions between these states. A probability is assigned ....
V. A. F. Almeida, D. A. Menasc'e, R. Fonseca, and M. Mendes, "Business-oriented Resource Management Policies for E-commerce Servers," Performance Evaluation: An International Journal,Vol. 42 (2000), pp. 223--239.
In Search of Invariants for E-Business Workloads - Menascé, Almeida, Fonseca (2000) (3 citations) Self-citation (Menasc Almeida Fonseca) (Correct)
.... is submitting requests to an e business server is important because we can use this information for both limiting their access (using the robots.txt file for instance) or prioritizing the access of real clients to the server as a means of guaranteeing the quality of service provided by the site [10]. Several criteria can be used for identifying agent generated 90000 60000 Tau: 100000 2 4 6 8 10 12 0 2 4 6 8 10 12 14 Figure 15: Number of initiated sessions per day for the bookstore (top) and the auction site. 120 0 5o 1043 150 2oo 25o 3oo 35o 0 50 100 150 2OO 250 3OO 350 ....
D. A. Menasc6, V. A. F. Almeida, R. Fonseca, and M. A. Mendes, "Business-oriented Resource Management Policies for E-Commerce Servers," Performance Evaluation, September 2000.
A Smart Hill-Climbing Algorithm for Application.. - Xi, Liu.. (2004) (Correct)
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Menasce, D. A., Almeida, V. A. F., Fonseca, R. and Mendes, M. A. Business-oriented resource management policies for e-commerce servers. Performance Evaluation, 42:223--239, 2000.
Characterizing Customer Groups for an E-commerce Website - Wang, Makaroff, Edwards (2004) (Correct)
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D. Menasce, V. Almeida, R. Fonseca, and M. Mendes. Business-Oriented Resource Management Policies for E-commerce Servers. Performance Evaluation, 42:223--239, May 2000.
Market-Based Resource Allocation for Utility Data Centers - Byde, Sallé.. (2003) (Correct)
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D. A. Menasc e, V. A. F. Almeida, R. Fonseca, and M. A. Mendes. Business-oriented resource management policies for e-commerce servers. Performance Evaluation, 42:223-- 239, 2000.
Management by Contract - Salle, Bartolini (2004) (Correct)
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D. Menasc and V.Almeida. Business-oriented Resource Management Policies for E-commerce Servers. Performance Evaluation, September 2000.
Admission Control Schemes Guaranteeing Customer QoS in.. - Kihl, Widell (2002) (Correct)
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D. Menasc, V. Almeida, R. Fonseca and M. Mendes, "Business-oriented resource management policies for e-commerce servers", Performance Evaluation, Vol 42(2000), pp 223239.
Service Differentiation in Web Caching and Content Distribution - Feldman, Chuang (Correct)
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D. Menasce, J. Almeida, R. Fonseca, and M. Mendes. Business-oriented resource management policies for ecommerce servers. Performance Evaluation, 42(2-3):223- 239, 2000.
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