Developing a load balancing technique in cloud computing
Abstract
Cloud computing is a utility to deliver services and resources to the users through high speed internet. It has a number of types and hybrid cloud is one of them. Cloud computing provides scalable services that include SaaS, PaaS and IaaS over the Internet. Because of the dynamic nature of cloud environments, the VM workload swings dynamically, resulting in unbalanced loads. Cloud Load Balancing is the process of distributing workloads and computing resources in a cloud computing environment. Enterprise load balancing lets you manage application requests or workload by allocating resources across multiple computers, networks, or servers. In this paper a load balancing technique in cloud computing is developed to distribute the work load across multiple nodes in order to insure that no single node is overloaded. The proposed technique is expected to provide maximum throughput with minimum response time.
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References
[1]- “Fault Tolerance-Challenges, Techniques and Implementation in Cloud Computing” Anju Bala1, Inderveer Chana2.
[2]-A.N. Ivanisenko; T. A. Gavrilova, “Survey of major load balancing algorithms in distributed system “, Information Technologies in Innovation Business Conference (ITIB), 2015, Pages: 89 -92, DOI: 10.1109/ITIB.2015.7355061
[3]-Advanced Information Networking and Applications Workshops.
[4]-Asha Latha R; J. Agartha,” Dynamic load balancing methods for resource optimization in cloud computing environment “, 2015 Annual IEEE India Conference (INDICON)
[5]-G. PunethaSarmila, Dr.N. Gnanambigai, Dr.P. Dinadayalan,” Survey on Fault Tolerant –Load Balancing Algorithms in Cloud Computing”, IEEE Sponsored 2nd International Conference on Electronics and Communication System (ICECS 2015), Pages-1715-1720
[6]-Jain, S., A Survey of Load Balancing Challenges in Cloud Environment. Proceedings of the SMART -2016, IEEE Conference ID: 39669, 2016.
[8]-Priyanka Singh, P.B., Assorted Load Balancing Algorithms in Cloud Computing: A Survey. International Journal of Computer Applications (0975 –8887), 2016.
[9]-Riky sutra et.al, " Game Theoretic Approach for Load Balancing in Computational Grids", IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS", vol.19.
[10]-Scheduling Algorithm for Independent Tasks in Inter-Clouds Environments.
[11]-Shridhar Domanial and Gram Mohana Reddy, “Load Balancing in Cloud Computing Using Modified Throttled Algorithm “, 2013 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)
[12]-Sidra Aslam, Munam Ali Shah, “Load Balancing Algorithms in Cloud Computing: A Survey of Modern Techniques”, 2015 National Software Engineering Conference (NSEC 2015)
[13]-Surbhi Kapoor, Dr. Chetna Dabas,” Cluster Based Load Balancing in Cloud Computing”, 2015 Eighth International Conference on Contemporary Computing (IC3)
[14]-Wang SC, Chen CW, Yan KQ, Wang SS the Anatomy Study of Load Balancing in Cloud Computing Environment. The Eighth International Conference on Internet and Web Applications and Services 230-235.
[15]-Whitley D A generic algorithm tutorial. Statistics and Computing 4: 65-68.
[16]-Xi, S., RT-OpenStack: CPU Resource Management for Real-Time Cloud Computing.2015 IEEE 8th International Conference on Cloud Computing, 2015.
[17]-Y. Fang, F. Wang, and J. Ge, "A Task Scheduling Algorithm Based on Load Balancing in Cloud Computing", Web Information Systems and Mining, Lecture Notes in Computer Science, Vol. 66318, pp.71-277. [7]-Pop F, Cristea V, Bessas N, Sotiriadis S Reputation guided Genetic
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