Book Chapter10.1007/978-3-642-16515-3_34
A task scheduling algorithm based on load balancing in cloud computing
Yiqiu Fang,Fei Wang,Junwei Ge +2 more
- 23 Oct 2010
- pp 271-277
264
TL;DR: This paper discusses a two levels task scheduling mechanism based on load balancing in cloud computing that can not only meet user's requirements, but also get high resource utilization, which was proved by the simulation results in the CloudSim toolkit.
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Abstract: Efficient task scheduling mechanism can meet users' requirements, and improve the resource utilization, thereby enhancing the overall performance of the cloud computing environment. But the task scheduling in grid computing is often about the static task requirements, and the resources utilization rate is also low. According to the new features of cloud computing, such as flexibility, virtualization and etc, this paper discusses a two levels task scheduling mechanism based on load balancing in cloud computing. This task scheduling mechanism can not only meet user's requirements, but also get high resource utilization, which was proved by the simulation results in the CloudSim toolkit.
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Citations
The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment
TL;DR: A model for task-oriented resource allocation in a cloud computing environment where an induced bias matrix is used to identify the inconsistent elements and improve the consistency ratio when conflicting weights in various tasks are assigned is proposed.
282
Load balancing mechanisms and techniques in the cloud environments
TL;DR: A systematic literature review of the existing load balancing techniques proposed so far and the advantages and disadvantages associated with several load balancing algorithms have been discussed and the important challenges of these algorithms are addressed so that more efficientload balancing techniques can be developed in future.
245
Cloud Load Balancing Techniques : A Step Towards Green Computing
Nidhi Jain Kansal,Inderveer Chana +1 more
- 01 Jan 2012
TL;DR: The existing load balancing techniques in cloud computing are discussed and further compares them based on various parameters like performance, scalability, associated overhead etc that are considered in different techniques.
Task scheduling in Cloud computing
Abdul Razaque,Nikhileshwara Reddy Vennapusa,Nisargkumar Soni,Guna Sree Janapati,khilesh Reddy Vangala +4 more
- 29 Apr 2016
TL;DR: An efficient task-scheduling algorithm is introduced, which presents divisible task scheduling by considering network bandwidth, and uses a nonlinear programming model for divisibletask scheduling, which assigns the correct number of tasks to each virtual machine.
152
Bandwidth‐aware divisible task scheduling for cloud computing
TL;DR: A heuristic algorithm for divisible load scheduling, called bandwidth‐aware task‐scheduling (BATS) algorithm, is proposed and evaluated using CloudSim toolkit, which shows that the proposed algorithm has better performance.
150
References
•Journal Article
Above the Clouds: A Berkeley View of Cloud Computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
TL;DR: This work focuses on SaaS Providers (Cloud Users) and Cloud Providers, which have received less attention than SAAS Users, and uses the term Private Cloud to refer to internal datacenters of a business or other organization, not made available to the general public.
Cloud Computing and Grid Computing 360-Degree Compared
Ian Foster,Yong Zhao,Ioan Raicu,Shiyong Lu +3 more
- 01 Nov 2008
TL;DR: In this article, the authors compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both the two technologies, and compare the advantages of grid computing and cloud computing.
A Taxonomy and Survey of Cloud Computing Systems
Bhaskar Prasad Rimal,Eunmi Choi,Ian Lumb +2 more
- 25 Aug 2009
TL;DR: This paper develops a comprehensive taxonomy for describing cloud computing architecture and uses this taxonomy to survey several existing cloud computing services developed by various projects world-wide, to identify similarities and differences of the architectural approaches of cloud computing.
1.6K
•Posted Content
CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
TL;DR: This paper proposes CloudSim: a new generalized and extensible simulation framework that enables seamless modelling, simulation, and experimentation of emerging Cloud computing infrastructures and management services.
Design and Implementation of an Efficient Two-level Scheduler for Cloud Computing Environment
R. Jeyarani,R. Vasanth Ram,Sudha Sadhasivam,N. Nagaveni +3 more
- 27 Oct 2009
TL;DR: The implementation of an efficient Quality of Service based Meta-Scheduler and Backfill strategy based light weight Virtual Machine Scheduler for dispatching jobs and thoughts on scheduling heuristics that can be incorporated at data center level for selecting ideal host for VM creation are presented.
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