Advances in Computing, Communication, and Control: Third by Pankti Doshi, Vijay Raisinghani (auth.), Srija Unnikrishnan,


By Pankti Doshi, Vijay Raisinghani (auth.), Srija Unnikrishnan, Sunil Surve, Deepak Bhoir (eds.)

This e-book constitutes the refereed lawsuits of the 3rd overseas convention on Advances in Computing, verbal exchange and keep an eye on, ICAC3 2013, held in Mumbai, India, in January 2013. The sixty nine papers provided during this quantity have been conscientiously reviewed and chosen for inclusion within the e-book. They care for themes equivalent to photograph processing, synthetic intelligence, robotics, instant communications; info warehousing and mining, and are equipped in topical sections named: computing; verbal exchange; keep watch over; and others.

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Additional info for Advances in Computing, Communication, and Control: Third International Conference, ICAC3 2013, Mumbai, India, January 18-19, 2013. Proceedings

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Shejy, and D. Jagli References 1. : Foiling the cracker: A survey of, and improvement to passwords security. In: Proc. USENIX Security Workshop, pp. 5–14 (1990) 2. : Déjà Vu: A user study using images for authentication. In: Proc. , Denver, CO, pp. 45–58 (August 2000) 3. : PassPoints: Design and longitudinal evaluation of a graphical password system. Int. J. Human-Comput. Stud. (Special Issue on HCI Research in Privacy and Security) 63(1/2), 102–127 (2005) 4. : The Design and Analysis of Graphical Passwords.

1 Determining Bid Values for Consumer Agents Consumer agent in each time unit determines its bid price for each requested resource based on time, availability, competition and eagerness factors. By considering these factors consumer agent converges its bid value rapidly to the acceptable price of market. Time factor: Since consumers are generally sensitive to deadline in acquiring re-quested resources, it is intuitive to consider time when formulating the bid price. Con-sumer agent time dependent bid price formula for resource j of service i at time t is determined in (1).

Each service requires various resources which all should be allocated for utilizing the service. Market-oriented approach is one of the most popular methods for managing Cloud services. In this paper a market-driven continuous double auction method (MCDA) for efficient cloud service allocation is presented which enables consumers to order various resources as a workflow for utilizing requested services. Also in the presented method consumers and providers make bids and requests based on market rivalry, time, opportunity, and eagerness factor.

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