Paper Title
LOAD BALANCING OF TASKS USING HYBRID TECHNIQUE WITH ANALYTICAL METHOD OF ESCE & THROTTLED ALGORITHM
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Abstract
Cloud computing is delivery of computing as service rather than as a product. Cloud computing provides a variety of computing resources, from servers and storage to enterprise applications such as email, security, backup, voice, all delivered over the Internet. Cloud computing is a way to increase the capacity or add capability dynamically without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing helps in making internet the ultimate resource of all computing needs. It provide one common platform to manage/monitor/setup/scale. It helps to increase the security. The utilization of hardware with better resource management. Helps in saving money and time by switching to cloud computing. The objective of the algorithm is to improve the response time and processing time in SpaceShared in host level and SpaceShared in VM level. To simplify this process, in this paper we propose CloudSim: an extensible simulation toolkit that enables modelling and simulation of Cloud computing environments. The CloudSim toolkit supports modelling and creation of one or more virtual machines (VMs) on a simulated node of a Data Center, jobs, and their mapping to suitable VMs. It also allows simulation of multiple Data Centers to enable a study on federation and associated policies for migration of VMs for reliability and automatic scaling of applications.
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How To Cite (APA)
Mandeep Kaur & Navtej Singh Ghumman (June-2017). LOAD BALANCING OF TASKS USING HYBRID TECHNIQUE WITH ANALYTICAL METHOD OF ESCE & THROTTLED ALGORITHM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 2(6), 61-66. https://ijnrd.org/papers/IJNRD1706011.pdf
Issue
Volume 2 Issue 6, June-2017
Pages : 61-66
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Paper Reg. ID: IJNRD_170048
Published Paper Id: IJNRD1706011
Downloads: 000122255
Research Area: Engineering
Author Type: Indian Author
Country: Jalalabad/Fazilka, Punjab, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD1706011.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1706011
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