From the June 2013 Issue

Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

By Junwei Cao, Kai Hwang, Keqin Li, and Albert Y. Zomaya

As cloud computing becomes more and more popular, understanding the economics of cloud computing becomes critically important. To maximize the profit, a service provider should understand both service charges and business costs, and how they are determined by the characteristics of the applications and the configuration of a multiserver system. The problem of optimal multiserver configuration for profit maximization in a cloud computing environment is studied. Our pricing model takes such factors into considerations as the amount of a service, the workload of an application environment, the configuration of a multiserver system, the service-level agreement, the satisfaction of a consumer, the quality of a service, the penalty of a low-quality service, the cost of renting, the cost of energy consumption, and a service provider's margin and profit...

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Editorials and Announcements

Announcements

• Print on Demand is Now Available for OnlinePlus Titles
• eBooks of issues of TPDS can now be downloaded from the Computer Society Digital Library

Editorials

• Editor's Note (Jan 2013)
• Editor's Note by Ivan Stojmenovic (April 2012)
• Editor's Note by Ivan Stojmenovic (January 2012)
• Editorial: Media Center by Ivan Stojmenovic (November 2011)
• Editor's Note: How to Write Research Articles in Computing and Engineering Disciplines by Ivan Stojmenovic
• Full Supplemental PDF of Editor's Note: How to Write Research Articles in Computing and Engineering Disciplines by Ivan Stojmenovic and Veljko Milutinovic (PDF)

Guest Editorials

• Special Issue on Cloud Computing (June 2013)
• Special Issue on Cyber-Physical Systems (CPS) (Sept 2012)
• Special Section on Many-Task Computing (June 2011)

Reviewers List

• 2012 TPDS Reviewers List (PDF)

Annual Index

• 2012 TPDS Annual Index (PDF)

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A word from the Editor-in-Chief Ivan Stojmenovic

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