DocumentCode :
256256
Title :
Efficient time based scheduler for implementing reservation plan in cloud
Author :
Soosai, M.R. ; Jagdale, B.N.
Author_Institution :
MIT Coll. of Eng., Pune, India
fYear :
2014
fDate :
22-24 Dec. 2014
Firstpage :
165
Lastpage :
168
Abstract :
Cloud providers offer computing resources to their customers using either the reservation or on-demand plan. However, reservation plan is cheaper than the on-demand plan since the cost of utilizing the resources is low. Cloud providers provision their resources into virtual machine which are then allocated to the users as per the request for a specific period of time. The problem that arises is related with the efficient management and utilization of the available computing resources. The existing system does not take into account of the user´s demand while making provisioning decisions. The proposed scheduler is based on time based scheduling with the main objective of utilizing the idle resources leading to the maximum utilization of the physical resources and with minimum overlapping in the task defined by the user. On the contrary, the implementation of the Time based Scheduler will lead to the increase in CPU utilization and memory consumption. So, the paper also includes a comparative study of the CPU utilization and Memory consumption with different techniques for implementing the scheduler.
Keywords :
cloud computing; decision making; resource allocation; scheduling; virtual machines; CPU utilization; cloud providers; computing resource management; computing resource utilization; memory consumption; on-demand plan; provisioning decision making; reservation plan implementation; resource allocation; time based scheduler; virtual machine; Central Processing Unit; Memory management; Processor scheduling; Quality of service; Random access memory; Servers; Virtual machining; Cloud Computing; Nova Scheduler; OpenStack; Resource Assignment; Scheduler; Task Allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Computing and Networking (GCWCN), 2014 IEEE Global Conference on
Conference_Location :
Lonavala
Type :
conf
DOI :
10.1109/GCWCN.2014.7030871
Filename :
7030871
Link To Document :
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