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Resource Management Techniques in Cloud Environment - A Brief Survey

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Abstract (2. Language): 
Cloud computing referred to as the on demand technology because it offers dynamic and versatile resource allocation for reliable and warranted services in pay as-you-use manner to public. It is a technology that uses the web and central remote servers to take care of data and applications and permits users to use applications without installation and access their personal files at any computer with the assistance of internet access. This technology allows rather more efficient computing by consolidative data storage, processing and bandwidth. The specialty of this technology is that any variety of cloud services can be simultaneously accessed by any variety of users. So it is necessary that every user should get sufficient resources in a well-organized manner. The resource allocation in cloud computing is nothing but integrating the cloud provider activities in order to utilize and allocate scarce resources. The service level agreement satisfaction is incredibly necessary concerning the user as well as the service provider. Minimum SLA violation brings most client satisfaction. Here in this paper a survey is meted out on the realm of resource management strategies that tries to preserve the customer satisfaction to its maximum. There are some metrics which are able to evaluate the potency of these resource allocation strategies. The deserves and demerits of each technique are also mentioned.
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REFERENCES

References: 

[1] Rajkamal Kaur Grewal, Pushpendra Kumar Pateriya (2012), “A Rule-based Approach for Effective Resource Provisioning
in Hybrid Cloud Environment”, International Journal of Computer Science and Informatics ISSN: 2231 –5292, Vol-1,
Issue-4.
[2] Abirami S.P., Shalini Ramanathan (2012), “Linear Scheduling Strategy for Resource allocation in Cloud Environment”,
International Journal on Cloud Computing and Architecture, vol.2, No.1, February.
[3] Christopher Clark, Keir Fraser, Steven Hand, Jacob Gorm Hanseny, Eric July, Christian Limpach, Ian Pratt, Andrew
Warfield, “Live Migration of Virtual Machines”, 2nd Symposium on Networked Systems Design and Implementation
(NSDI), May 2005.
[4] Franco Travostino, Paul Daspit, Leon Gommans, Chetan Jog, Cees de Laat, Joe Mambretti, Inder Monga, Bas van
Oudenaarde, Satish Raghunath, Phil Wang (2006), “Seamless Live Migration of Virtual Machines over the MAN/WAN”,
Elsevier Future Generation Computer Systems.
[5] Anton Beloglazov, Rajkumar Buyya (2010), “Energy Efficient Resource Management in Virtualized Cloud Data Centers”,
10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing.
[6] Tom's Hardware [Online] Available: http://www.tomshardware.com/forum/285409-28-mips (2013)
[7] Stephen S. Yau, Ho G. An. (2009), “Adaptive Resource Allocation for Service-Based Systems”, International Journal of
Software and Informatics ISSN 1673-7288, Vol.3, No.4, December, pp. 483–499.
[8] Shikharesh Mujumdar (2011), “Resource management on cloud: Handling uncertainities in parameters and policies", CSI
communications, edn. pp. 16-19.
[9] Lien Deboosere, Bert Vankeirsbilck, Pieter Simoens, Filip De Turck, Bart Dhoedt and Piet Demeester (2012), “Efficient
resource management for virtual desktop cloud computing”, Springer.
Resource Management Techniques in Cloud Environment - A Brief Survey
ISSN : 2028-9324 Vol. 2 No. 4, Apr. 2013 532
[10] Nilabja Roy, Abhishek Dubey and Aniruddha Gokhale, “Efficient Autoscaling in the Cloud using Predictive Models for
Workload Forecasting”.
[11] Markus Fiedler (2009), “On Resource Sharing and Careful Overbooking for Network Virtualization”, 20th ITC Special
Seminar, May.
[12] Bhuvan Urgaonkar, Prashant Shenoy and Timothy Roscoe (2009), “Resource Overbooking and Application Profiling in
Shared Hosting Platforms”, ACM Trans Internet Tecnol 2009.
[13] Nidhi Jain Kansal and Inderveer Chana (2012), “Cloud Load Balancing Techniques: A Step Towards Green Computing”,
IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 1, January.
[14] Soramichi Akiyama, Takahiro Hirofuchi, Ryousei Takano, Shinichi Honiden (2012), “MiyakoDori: A Memory Reusing
Mechanism for Dynamic VM Consolidation”, Fifth International Conference on Cloud Computing, IEEE 2012.
[15] Jyothi Sekhar, Getzi Jeba, S. Durga (2012)“A Survey on Energy Efficient Server Consolidation Through VM Live
Migration”, International Journal of Advances in Engineering & Technology, November..
[16] Rashmi. K. S, Suma. V and Vaidehi. M (2012), “Enhanced Load Balancing Approach to Avoid Deadlocks in Cloud”, Special
Issue of International Journal of Computer Applications (0975 – 8887) on Advanced Computing and Communication
Technologies for HPC Applications - ACCTHPCA, June.
[17] Abdulaziz Aljabre (2012), “Cloud Computing for Increased Business Value”, International Journal of Business and Social
Science Vol. 3 No. 1; January.
[18] Abdullah Alshwaier, Ahmed Youssef and Ahmed Emam (2012), “A New Trend for E-Learning In KSA Using Educational
Clouds”, Advanced Computing: An International Journal (ACIJ), Vol.3, No.1, January.
[19] Cloud Computing for Dummies, Wiley Publishing, Inc.
[20] Rakhi k Raj and Getzi Jeba Leelipushpam. P (2012), “Live Virtual Machine Migration Techniques – A Survey”,
International Journal of Engineering Research and Technology, Volume 1 Issue 7, September.

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