Load Balancing in Cloud Computing

Cloud Computing or the future of generation computing provides its clients with a virtualized network access to applications and or services

2018

Scholarcy highlights

  • Cloud Computing or the future of generation computing provides its clients with a virtualized network access to applications and or services
  • Sometimes our system gets hanged up or it seems to take few decades for pages to come out of printer. All this happens because there is a queue of requests waiting for their turn to access resources which are shared among them. These requests cannot be serviced as the resources required by each of these requests are held by another process or request by virtual machines
  • The following sections discusses about the concept of load balancing, its needs and goals, types and comparision between traditional computing environment and cloud computing environment and different algorithms
  • The task of load balancer is to queue up the jobs and hand over them to different virtual machines
  • The following figure shows the diagrammatical representation of the algorithm used for load balancing in cloud computing environment, .The figure shows the three algorithms which are studded in this paper using the cloud analyst simulation tool, this tool is based on cloud sim, the cloud sim provides a GUI inter face which helps to perform the experimental work
  • If all the above parameters are satisfied optimally it will highly improve the performance of the system. As such cloud computing being wide area of research and one of the major topics of research is dynamic load balancing, so the following research will be focusing on algorithm considering mainly two parameters firstly, load on the server and secondly, current performance of server
  • The goal of load balancing is to increase client satisfaction and maximize resource utilization and substantially increase the performance of the cloud system and minimizing the response time and reducing the number of job rejection thereby reducing the energy consumed and the carbon emission rate

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