Title : Novel earliest deadline first scheduling models for resource allocation in cloud computing

Type of Material: Thesis
Title: Novel earliest deadline first scheduling models for resource allocation in cloud computing
Researcher: Nelima Priyanka N.
Department: Department of Computer Science and Engineering
Publisher: Adikavi Nannaya University
Place: Rajahmundry
Year: 2018
Language: English
Subject: Computer Science
Computer Science and Applications
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Science and Engineering, Adikavi Nannaya University, Rajahmundry; 2018
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_462272
040__|dIN-AhILN|aANUR_533105
041__|aeng
100__|eResearcher|aNelima Priyanka N.
110__|aDepartment of Computer Science and Engineering|0U-0005|dRajahmundry|bAdikavi Nannaya University|ein
245__|aNovel earliest deadline first scheduling models for resource allocation in cloud computing
260__|aRajahmundry|c2018|bAdikavi Nannaya University
300__|dDVD
502__|d2018|bPhD|cDepartment of Computer Science and Engineering, Adikavi Nannaya University, Rajahmundry
518__|oDate of Award|d2018
518__|oDate of Registration|d2011
518__|oDate of Completion|d2018
520__|aThis thesis deals with multi stage scheduling for resource allocation in cloud computing with Earliest Deadline First Scheduling with new deadline calculation and obtained better performance evaluation metrics. The models developed in this thesis can also be further extended with different sizes of Virtual machines by considering Context Switching times in between the virtual machines. we can define a heuristic method to reduce the time taken for context switching and we can apply a few new heuristic methods to the fixed priority based algorithms and dynamic priority based algorithms to define hybrid algorithms on preemptive mode.
650__|aComputer Science and Applications|2UGC
650__|aEngineering and Technology|2AIU
653__|aComputer Science
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/314814|yShodhganga
905__|afromsg

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