Load Balancing techniques in Cloud Computing Parminder Kaur, Research Scholar, Department of Computer Science and Applications, Kurukshetra University, Kurukshtera kaur.parminder.490@gmail.com Abstract With the increasing number of users of cloud, the load/ traffic also increases and it becomes important to have some techniques to balance the load equally among all the nodes, so that the user doesn’t suffer and the services are delivered effectively and efficiently. Therefore the need for Load
A Survey on Load Balancing in Cloud Computing using Artificial Intelligence Techniques Amandeep Kaur1, Pooja Nagpal2 1Research Scholar,Department of CSE, I.K.Gujral Punjab Technical University Rayat Institute of Engineering and Information Technology,India 2Faculty of Computer Science and Information Technology ,I.K.Gujral Punjab Technical University Rayat Institute of Engineering and Information Technology,India 1amandhonsa@gmail.com, 2rieit.cse
Load Balancing Model based on Cloud Partitioning using Cloudsim Binu Varghese, Dr. K. M Mehata Dean and Professor M.Tech Student, Department of Computer Science, B S Abdur Rahman University, Chennai Dean and Professor, Department of Computer Science, B S Abdur Rahman University, Chennai binu.21.10@gmail.com, kmmehata@bsauniv.ac.in Abstract— Load balancing is one of the central issues in cloud computing. Since millions of users are accessing the cloud every moment, the concept of load balancing
With the increasing number of users of cloud, the load/ traffic also increases and it becomes important to have some techniques to balance the load equally among all the nodes, so that the user doesn’t suffer and the services are delivered effectively and efficiently. Therefore the need for Load Balancing algorithms arises. There are a number of techniques available for load balancing. In this paper, different kinds of load balancing algorithms in cloud computing along with the challenges and the qualitative
The use of big data not only creating huge traffic load on internet, also changing the traffic patterns. These traffic flows are resulting performance degrade in terms of application performance and affecting the service provider’s revenue in turn. Figure 2 2 depicts the present day traffic flows ( mouse flow and elephant flow ) in data center. With the dominance of huge mobile traffic especially due to video streaming the size and shape of data traffic are changing in data center. According to a
Evolution of new Load Balancing model for Cloud Computing Abstract Cloud computing is a vital part of this new era IT world or we can say that it is a technology of new age which are used to connect data and application from anywhere around the planet through the internet. Anything and everything from servers to mobile phones can be connected to the cloud. It has also yielded up some new companies which are providing consumer a large range of services. Due to this the upcoming companies can now
Optimization of Dynamic Load Balancing in Cloud Computing B.Preethi1, Prof. C. Kamalanathan2,Dr,S.M Ramesh3 1PG Scholar, 2Professor,3Associate Professor 1,2,3Bannari Amman Institute of Technology Sathyamangalam, Pin no.638401 1bpreethiece@gmail.com, 2kamalanadhan@gmail.com Abstract: Load balancing is essential for optimization of resources in distributed environments. The major goal of the cloud computing service providers is to use cloud computing resources efficiently to enhance the overall
Abstract In the last few years, the advancement of cloud computing technology has revolutionized the IT infrastructure and business model of many organizations. Businesses from green field startups, to enterprises and market giants have repositioned their services and infrastructure to take benefits of Cloud computing models. Cloud technology is leveraged by the underlying infrastructure and virtualization techniques that make the magic of on demand resource allocation, service orchestration possible
With the increasing number of users of cloud, the load/ traffic also increases and it becomes important to have some techniques to balance the load equally among all the nodes, so that the user doesn’t suffer and the services are delivered effectively and efficiently. Therefore the need for Load Balancing algorithms arises. There are a number of techniques available for load balancing. In this paper, different kinds of load balancing algorithms in cloud computing along with the challenges and the qualitative
deployment models are designed to support a variation of consumers’ privacy requirements for cloud adoption. NIST defines cloud deployment models as public, private, community, and hybrid [6]. A cloud system can be operated in one of the following four deployment models: 1.9.2.1 Public cloud: The cloud infrastructure is generally owned and managed by the service provider. Multiple customers share the computing resources provides by a single service provider, customers can quickly access these resources