Grid Business Models for Brokers Executing SLA-Based Workflows
AbstractIn the Grid Computing environment, many users need the results of their calculations within a specific period of time. Those users are willing to pay for getting their work completed on time. However, this requirement must be agreed on in a Service Level Agreement (SLA) by both, the user and the Grid provider, before the application is executed. In order to finish the workflow on time, sub-jobs of the workflow must be distributed to Grid resources. To free users from assigning sub-jobs of the workflow, it is necessary to have a SLA workflow broker. We introduce a set of business models that are based on incentive structure for users to consume the HPCC services, and for brokers to perform efficiently. The business model also leads to several economic issues. In particular, there is asymmetric information regarding the execution environment. The asymmetric information may have negative effect on the business relation between the broker and the user. We will analyze this effect. We also propose some possible solutions for the asymmetric information issue. They include the pricing/fining policy of the broker and the negotiation strategy between users and brokers.
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Bibliographic InfoPaper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 201046.
Length: 23 pages
Date of creation: Jan 2010
Date of revision: Jan 2010
Publication status: Published in Rajkumar Buyya, Kris Bubendorfer, “Market-Oriented Grid and Utility Computing,?Wiley, New York, USA, August 2009
Service Level Agreements (SLA); Business Model; Workflow Management; Resource Allocation; Optimization; Information Asymmetry; Negotiation;
Find related papers by JEL classification:
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
- D46 - Microeconomics - - Market Structure and Pricing - - - Value Theory
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
- L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
- M15 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - IT Management
- M21 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics - - - Business Economics
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- Jorn Altmann & Matthias Hovestadt & Odej Kao, 2011. "Business Support Service Platform for Providers in Open Cloud Computing Markets," TEMEP Discussion Papers 201179, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2011.
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