Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    Game theoretic approaches for job scheduling in cloud computing: A survey
    (Institute of Electrical and Electronics Engineers Inc., 2015) Ananth, A.; Chandra Sekaran, K.C.
    Cloud computing is one of the promising technology in current day scenario. Job scheduling in cloud environment is an important issue where the main aim is to schedule the jobs appropriately in order to effectively utilize the resources and also meet the user's satisfaction. Cloud provider has to consider various aspects like number of cloud users requesting for a service at the same time, availability of resources at that time, Service Level Agreements (SLAs), Quality of Service (QoS) requirements, etc. There are various approaches for scheduling the jobs. In this paper we focus on game theory based approaches for job scheduling in cloud. Survey of existing approaches and various issues in game theory based job scheduling is the main objective of this paper. We study the existing approaches for job scheduling focusing game theoretic approaches and analyze the open issues for research in this area. © 2014 IEEE.
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    A game theory based resource scheduling model for cost reduction in home health care
    (IEEE Computer Society help@computer.org, 2016) Xie, Z.; Sharath, N.; Wang, C.
    This paper proposes a game theoretic scheduling model for reducing service cost in home health care. We focus on a setting where a group of independent health care practitioners need to be assigned to home visits within a time window. The practitioners have different skill sets, time constraints and client preferences. They also expect reasonable payments given their skill levels and cost incurred in order to provide the services. On the other hand, the home health agency wants to schedule practitioners to the visits such that all planned visits are covered with qualified practitioners and, at the same time, the overall service cost is minimized. We study the home health care resource scheduling problem in a multi-agent environment consisting of health care agency and self-interested practitioner agents. An iterative bidding framework is proposed as a decentralized decision making tool to enable automated negotiation between the home health agency and the practitioner agents. The effectiveness of the framework is evaluated through a computational study. The results show that the proposed framework computes high quality schedules in the decentralized home health care environment. © 2015 IEEE.