Author : Monika 1
Date of Publication :29th January 2018
Abstract: Cloud computing is exceptionally composed setup gives stage as an administration, framework as an administration and programming as administration. It causes customers to utilize required administrations and pay as indicated by the use of administration. The standard part of distributed computing is virtualization that arrangements with the development and administration of virtual machines effectively. Distributed computing condition gives numerous assets and administrations to imparting to their customers. Information stockpiling on distributed computing is expanding step by step which causes the shortage of assets on cloud server farms. Additionally, a few server farms are over-burden and some are under stacked. Along these lines stack adjusting on cloud server farms is required. With stack adjusting idea a few assignments of over-burden servers are exchanged to under stacked servers. For the most part, stack, adjusting calculations work powerfully. There are numerous dynamic load adjusting calculations exists for adjusting the work stack on cloud server farms. In this paper Hybrid approach is connected to stack adjusting utilizing Round Robin, Equally Spread Current Execution and (ESCE) Throttled calculations.
Reference :
-
- Vishwas Bagwaiya, Sandeep k. Raghuwanshi, “Hybrid Approach Using Throttled And ESCE Load Balancing Algorithms In Cloud Computing”.
- Mamta Khanchi, Sanjay Tyagi, “AN EFFICIENT ALGORITHM FOR LOAD BALANCING IN CLOUD COMPUTING”,© International Journal of Engineering Sciences & Research Technology.
- Bhavisha Patel, Shreyas Patel, “Various Load Balancing Algorithms in cloud Computing”, IJARIIEISSN(O)-2395-4396. Vol-1 Issue-2 2015.
- Mithun Dsouza, Mohammed Rizwan, Ramnath Gaonkarand, S. Sathyanarayana, “SCHEDULING AND LOAD BALANCING TECHNIQUES IN CLOUD COMPUTING: A SURVEY”, International Journal of Latest Trends in Engineering and Technology Special Issue SACAIM 2016, pp. 309-316 e-ISSN:2278-621X.
- Bhasker Prasad Rimal, Enumi Choi, “A Taxonomy and survey of cloud computing systems”, 2009 Fifth International Joint Conference on INC, IMS and IDC. [6]. Rajwinder Kaur and Pawan Luthra, “Load Balancing in Cloud Computing”.
- Amandeep Kaur Sidhu, Supriya Kinger, “Analysis of Load Balancing Techniques in Cloud Computing”, International Journal of Computers &Technology Volume 4 No. 2, March-April, 2013, ISSN 2277-3061.
- Ratan Mishraand, Anant Jaiswa, “Ant colony Optimization: A Solution of Load balancing in Cloud”, International Journal of Web &Semantic Technology (IJWesT) Vol.3, No.2, April 2012
- Fang, Y., Wang, F., and Ge, J., “A Task Scheduling Algorithm Based on Load Balancing in Cloud Computing”, Lecture Notes in Computer Science, Jg. 2010(6318): pp. 271-277, (2010).
- Abhinav Hans, Sheetal Kalra, “Comparative Study of Different Cloud Computing Load Balancing Techniques”, 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom).
- V Ravi Teja Kanakala,V. Krishna Reddy and K. Karthik, “Performance Analysis of Load Balancing Techniques in Cloud Computing Environment” 978-1- 4799-6085-9/15/$31.00©2015 IEEE.
- Subhadra Bose Shaw, “A Survey on Scheduling and Load Balancing Techniques in Cloud Computing Environment”, 2014 5th International Conference on Computer and Communication Technology (ICCCT).