Article

On the quantification of e-business capacity

Authors:

Moises Goldszmidt,

Derek Palma,

Bikash SabataAuthors Info & Claims

EC '01: Proceedings of the 3rd ACM conference on Electronic Commerce

Pages 235 - 244

https://doi.org/10.1145/501158.501187

Published: 14 October 2001 Publication History

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Abstract

In order for current e-Businesses to mature from hastily assembled systems and applications, formal processes must be put in place for planning and budgeting, pricing and costing, and for establishing quality of service and service--level assurances. There are many challenges that e-Businesses face in formalizing these processes. The most important problem is to bridge the semantic disconnect between business objectives and the information system performance objectives. Next, the characterization of the e-Business infrastructure is extremely complex, given the variety of applications and system configurations at a web site and the traffic it receives. Finally, e-Businesses need to associate and apply traditional economic factors, such as depreciation and usage to applications, operating systems, and databases. In this paper, we propose an approach for defining and quantifying effective e-Business capacity that allows us to translate quality of service objectives into the number of users that a web site can support. This approach is based on inducing online models using machine learning and statistical pattern recognition techniques. As a consequence, the approach is flexible: it adapts to any site configuration and environment. The concept of e-Business capacity allows us to naturally answer planning and operational questions about the information system infrastructure needed to support the e-Business. The questions range from indicating which performance measures in the system are "important" to simulating "if-then" scenarios

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Cited By

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Wang FRaisinghani MMora MWang X(2016)Strategic E-Business Management through a Balanced Scored Card ApproachEncyclopedia of E-Commerce Development, Implementation, and Management10.4018/978-1-4666-9787-4.ch027(361-386)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-9787-4.ch027
Zhang ZLi S(2011)Automatic Fine-Grained Transaction Categorization for Multi-tier ApplicationsProceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery10.1109/CyberC.2011.31(130-138)Online publication date: 10-Oct-2011
https://dl.acm.org/doi/10.1109/CyberC.2011.31
Bacigalupo Dvan Hemert JChen XUsmani AChester AHe LDillenberger DWills GGilbert LJarvis S(2011)Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance modelsSimulation Modelling Practice and Theory10.1016/j.simpat.2011.01.00719:6(1479-1495)Online publication date: Jun-2011
https://doi.org/10.1016/j.simpat.2011.01.007
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Index Terms

On the quantification of e-business capacity
1. Applied computing
  1. Electronic commerce
  2. Enterprise computing
    1. Business process management
2. Mathematics of computing
  1. Probability and statistics
    1. Statistical paradigms
      1. Statistical graphics

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Published In

EC '01: Proceedings of the 3rd ACM conference on Electronic Commerce

October 2001

277 pages

ISBN:1581133871

DOI:10.1145/501158

Conference Chairs:
Michael P. Wellman
University of Michigan
,
Yoav Shoham
Stanford University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2001

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EC01

Sponsor:

SIGecom

EC01: Third ACM Conference on Electronic Commerce

October 14 - 17, 2001

Florida, Tampa, USA

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EC '01 Paper Acceptance Rate 35 of 100 submissions, 35%;

Overall Acceptance Rate 664 of 2,389 submissions, 28%

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Cited By

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Wang FRaisinghani MMora MWang X(2016)Strategic E-Business Management through a Balanced Scored Card ApproachEncyclopedia of E-Commerce Development, Implementation, and Management10.4018/978-1-4666-9787-4.ch027(361-386)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-9787-4.ch027
Zhang ZLi S(2011)Automatic Fine-Grained Transaction Categorization for Multi-tier ApplicationsProceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery10.1109/CyberC.2011.31(130-138)Online publication date: 10-Oct-2011
https://dl.acm.org/doi/10.1109/CyberC.2011.31
Bacigalupo Dvan Hemert JChen XUsmani AChester AHe LDillenberger DWills GGilbert LJarvis S(2011)Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance modelsSimulation Modelling Practice and Theory10.1016/j.simpat.2011.01.00719:6(1479-1495)Online publication date: Jun-2011
https://doi.org/10.1016/j.simpat.2011.01.007
Bacigalupo Dvan Hemert JUsmani ADillenberger DWills GJarvis S(2010)Resource management of enterprise cloud systems using layered queuing and historical performance models2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)10.1109/IPDPSW.2010.5470782(1-8)Online publication date: Apr-2010
https://doi.org/10.1109/IPDPSW.2010.5470782
Sharma ABhagwan RChoudhury MGolubchik LGovindan RVoelker G(2008)Automatic request categorization in internet servicesACM SIGMETRICS Performance Evaluation Review10.1145/1453175.145317936:2(16-25)Online publication date: 31-Aug-2008
https://dl.acm.org/doi/10.1145/1453175.1453179
Agarwal MKar GMahindru RNeogi ASailer A(2008)Performance problem prediction in transaction-based e-business systemsIEEE Transactions on Network and Service Management10.1109/TNSM.2008.0801015:1(1-10)Online publication date: 1-Mar-2008
https://dl.acm.org/doi/10.1109/TNSM.2008.080101
Bacigalupo DXue JHammond SJarvis SDillenberger DNudd G(2007)Predicting the Effect on Performance of Container-Managed Persistence in a Distributed Enterprise Application2007 IEEE International Parallel and Distributed Processing Symposium10.1109/IPDPS.2007.370583(1-8)Online publication date: Mar-2007
https://doi.org/10.1109/IPDPS.2007.370583
Richard SMiegemolle BGarcia JMonteil T(2006)Performance of MPI Parallel Applications2006 International Conference on Software Engineering Advances (ICSEA'06)10.1109/ICSEA.2006.261315(59-59)Online publication date: Dec-2006
https://doi.org/10.1109/ICSEA.2006.261315
Heim GField J(2006)Process drivers of e‐service qualityJournal of Operations Management10.1016/j.jom.2006.10.00225:5(962-984)Online publication date: 9-Nov-2006
https://dl.acm.org/doi/10.1016/j.jom.2006.10.002
Bacigalupo DJarvis SHe LSpooner DDillenberger DNudd G(2005)An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise ApplicationsThe Journal of Supercomputing10.1007/s11227-005-2335-z34:2(93-111)Online publication date: 1-Nov-2005
https://dl.acm.org/doi/10.1007/s11227-005-2335-z
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