D.A. Menasc and V.A.F. Almeida, Scaling for E-Business: Technologies, Models, Performance, and Capacity Planning, Prentice Hall, 2000. Home/Search Document Not in Database Summary Related Articles Check |
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Performance and Scalability of Distributed Software.. - Smith, Williams (2002) (3 citations) (Correct)
....models. The synthesis is a focus on the early evaluation of distributed system architectures as a means of identifying and mitigating performance risks. Work on the performance of distributed systems and web applications has generally focused on the system point of view. Examples include: 9] 13][20][33] 36] These approaches focus on the performance of the system as a whole and evaluate the overall performance of the system. Our approach focuses on the software architecture and evaluates the overall e#ect of alternative software architectures. This means that our models must explicitly ....
Daniel A. Menasc and Virgilio A.F. Almeida Scaling for E-Business: Technologies, Models, Performance, and Capacity Planning, Prentice Hall, 2000.
Class-based Cache Management for Dynamic Web Content - Zhu, Yang (2000) (17 citations) (Correct)
.... news service) For client access patterns, we either use a real trace (in the case of on line forums) or develop a state transition graph to model client behaviors (in the case of auction and news service) The state transition graph approach was used in a recent study on e commerce user modeling [15]. A. Online Forums We have developed an application to mimic the design and behavior of Web site www.melissavirus.com for online discussion of Melissa virus. There are mainly three types of dynamic pages generated at this Web site: page default.asp is the front page and shows a summary of major ....
....When the content related to a topic (such as sports) changes, all cached pages which contain related headlines (i.e. URL class: cgibin news topic=sports) are invalidated. To model client access patterns at a customized news site, we have followed the state transition graph approach used in [15]. Figure 7 shows our client behavior model. A client moves between two states: SLEEP and STAY. It moves from SLEEP state to STAY state by issuing a new request. During the STAY state, the client may automatically reload the same page every TRE seconds, or with probability p, the client may ....
Daniel Menasce and Vigilio Almeida, Scaling for E-business: technologies, models, performance, and capacity planning , Prentice Hall, 2000.
Testing E-Commerce Site Scalability With Tpc-W - JR, Menasce, Barbara (2001) Self-citation (Menasc) (Correct)
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D. A. Menasc and V. A. F. Almeida, Scaling for E-Business: technologies, models, performance, and capacity planning, Prentice Hall, 2000.
Workload Characterization - Menasce (2003) Self-citation (Menasc E-business) (Correct)
No context found.
D.A. Menasc and V.A.F. Almeida, Scaling for E-Business: Technologies, Models, Performance, and Capacity Planning, Prentice Hall, 2000.
Web Server Software Architectures - Menasce (2003) (Correct)
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D.A. Menasc and V.A.F. Almeida, Scaling for E-Business: Technologies, Models, Performance, and Capacity Planning, Prentice Hall, 2000.
Scaling Web Sites through Caching - Menasce (2003) (Correct)
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D.A. Menasc and V.A.F. Almeida, Scaling for E-Business: Technologies, Models, Performance, and Capacity Planning, Prentice Hall, 2000.
Building Responsive And Scalable Web Applications - Connie Smith Ph (2000) (1 citation) (Correct)
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Daniel A. Menasc and Virgilio A.F. Almeida, Scaling for E-Business: Technologies, Models, Performance, and Capacity Planning, Prentice Hall, 2000.
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