CloudAnalyst : A Survey of Load Balancing Policies

ABSTRACT Cloud computing is one of the incredible technology which enable the new vision for IT industry. Nowadays, it has become a strong alternative for startup large as well as small scale organizations that only use the resources which actually required based on pay as per use. As Cloud Computing is growing continuously and clients from different parts of the world are demanding for the various services and better outcomes, the load balancing has become the challenge for the cloud provider. To accurately manage the available resources of the different cloud provider, resources have to be properly selected according to the properties of task. Many algorithms have been proposed to provide efficient mechanisms and assigning the client’s requests to available cloud nodes and aim to enhance the overall performance of the cloud and provide more satisfaction to user and efficient services. Initially this paper gives an introduction to cloud computing and load balancing. A detailed survey on different load balancing policy in cloud analyst, their advantages and drawback with obtainable solution and learn how to add new policy or customize existing load balancing policy.

[1]  G. Ram Mohana Reddy,et al.  Load Balancing in Cloud Computingusing Modified Throttled Algorithm , 2013, 2013 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM).

[2]  Raouf Boutaba,et al.  Cloud computing: state-of-the-art and research challenges , 2010, Journal of Internet Services and Applications.

[3]  Priya R. Deshpande,et al.  Load Balancing in Cloud Computing , 2014 .

[4]  Geetha Megharaj,et al.  A Survey on Load Balancing Techniques in Cloud Computing , 2016 .

[5]  G. Ram Mohana Reddy,et al.  Optimal load balancing in cloud computing by efficient utilization of virtual machines , 2014, 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS).

[6]  J. Bhatia,et al.  HTV Dynamic Load Balancing Algorithm for Virtual Machine Instances in Cloud , 2012, 2012 International Symposium on Cloud and Services Computing.

[7]  R. K. McConnell,et al.  Load Balancing , 2021, Encyclopedia of Algorithms.

[8]  Wei Zhao,et al.  Modeling and simulation of cloud computing: A review , 2012, 2012 IEEE Asia Pacific Cloud Computing Congress (APCloudCC).

[9]  Dan Blacharski.  Cloud Computing Made Easy , 2010 .

[10]  Ravi Rastogi,et al.  Round Robin Approach for VM Load Balancing Algorithm in Cloud Computing Environment , 2014 .

[11]  Jayna B.Shah,et al.  Dynamic Load Balancing For Cloud Computing Using Heuristic Data and Load on Server , 2014 .

[12]  Manan D. Shah,et al.  Allocation Of Virtual Machines In Cloud Computing Using Load Balancing Algorithm , 2013 .

[13]  Rajkumar Buyya,et al.  CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

[14]  Jun Li,et al.  ArA: Adaptive resource allocation for cloud computing environments under bursty workloads , 2011, 30th IEEE International Performance Computing and Communications Conference.

[15]  S. Sridhar,et al.  CLOUD COMPUTING MADE EASY , 2016 .

[16]  R. Shankar,et al.  A Survey of Load Balancing Techniques in Cloud Computing , 2013 .

[17]  Parag Ravikant Kaveri,et al.  Load Balancing On Cloud Data Centres , 2013 .