Resource optimization and task scheduling in cloud computing

Jaya Lakshmi, Dr. Vuyyuru Krishna Reddy, Naresh T

Abstract


Cloud computing is a need of current and modern technology. Task scheduling and resource optimization are important aspects of cloud computing. Resource scheduling in cloud is a tough task and the planning of right resources to cloud workloads counts on the QoS needs of cloud applications, while in parallel with this task, gain is one of the most important aspect From which the cloud service suppliers point of view it is mainly determined by the structure of a cloud service platform under given market demand, However, facing the numerous cloud suppliers as well as their heterogeneous pricing strategies, customers may well be confused with which clouds are appropriate for storing their facts and what hosting strategy is cheaper. In particular, recently numerous studies have focused on determining the bond between server side system data and performance undergo for reducing resource wastage. Like all businesses, the benefit of a specialist system in distributed computing is identified with two sections, which are the cost and the income. The resource optimization and scheduling consist of allocating a single type of resource among the waiting jobs.


Full Text:

PDF

References


S.K.Sonkar, et al,” A Review on Resource Allocation and VM Scheduling Techniques and a Model for

Efficient Resource Management in Cloud Computing Environment”, IEEE, pp. 1-7, 2016.

Jing Mei, et al,” A Profit Maximization Scheme With Guaranteed Quality Of Service In Cloud Computing”,IEEE Transactions On Computers Vol:

Pp No: 99 , Pp. 1-14, 2015

Fei Tao, Chen Li, T. Warren Liao, And Yuanjun Laili,” BGM-BLA: A New Algorithm For Dynamic Migration

Of Virtual Machines In Cloud Computing”, IEEE Transactions On Services Computing, Vol. 9, No. 6, , Pp.1-

,2016.

David Candeia, et al,” Business-Driven Long-Term Capacity Planning for Saas Applications”, IEEE

Transactions on Cloud Computing, Vol. 3, No. 3, Pp1-14,2015.

Xuanjia Qiu, ,” Cost-Minimizing Dynamic Migration Of Content Distribution Services Into Hybrid Clouds”,

IEEE Transactions on Parallel And Distributed Systems, Vol. 26, No. 12, Pp.1-16,2015.

Shuangcheng Niu, et al,” Building Semi-Elastic Virtual Clusters For Cost-Effective Hpc Cloud Resource

Provisioning” IEEE Transactions On Parallel And Distributed Systems, Vol. 27, No. 7, Pp.1-14,2016.

Philipp Hoenisch, et al,” Optimization Of Complex Elastic Processes”, IEEE Transactions On Services

Computing, Vol. 9, No. 5,Pp. 1-14,2016.

Yi Zhang, et al,” An Heuristic for Bag-of-Tasks Scheduling Problems with Resource Demands and Budget

Constraints to Minimize Make span on Hybrid Clouds”, Fifth International Conference on Advanced Cloud and

Big Data, 2017

Renan Delvalle, et al ,” Electron: Towards Efficient Resource Management on Heterogeneous Clusters with

Apache Mesos”, IEEE 10th International Conference on Cloud Computing, pp.1-8, 2017.

Eya Dhib,et al,” Resources allocation trade-off between cost and delay over a distributed Cloud infrastructure”,

th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications

(SETIT), pp.1-5, 2016.

Mohammad Jassas, et al,” A Framework for Extending Resources of Embedded Systems using the Cloud”,IEEE 30th Canadian Conference on Electrical and Computer Engineering pp.1-5, 2017.

Doaa M. and Shawky "Performance Evaluation of Dynamic Resource Allocation in Cloud Computing Platforms Using Stochastic Process

Algebra" ,In proceeding of 8th International Conference on Computer

Engineering & Systems (ICCES),pp.39-41,2013.

Kumar A, Pilli E.S and Joshi R.C. “An efficient framework for resource allocation in cloud computing”, In proceeding of Fourth International Conference on Computing Communications and Networking Technologies (ICCCNT),pp.1-6,July 2013.

Zhi Zhou, Fangming Liu, Yong Xu, Ruolan Zou, Hong Xu, John C.S. Lui and Hai Jin, “Carbon-aware Load Balancing for Geo-distributed Cloud Services”, In proceeding of IEEE 21st International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems

Hui Dou, Yong Qi and Peijian Wang, “Hybrid Power Control and Electricity Cost Management for Distributed Internet Data Centers in Cloud Computing” In proceeding of 10th Web Information System and Application Conference, pp.394-399, 2013.




 

Copyright © IJETT, International Journal on Emerging Trends in Technology