Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item An approach for dynamic scaling of resources in enterprise cloud(IEEE Computer Society, 2013) Kanagala, K.; Chandra Sekaran, K.Elasticity is one of the key governing properties of cloud computing that has major effects on cost and performance directly. Most of the popular Infrastructure as a Service (IaaS) providers such as Amazon Web Services (AWS), Windows Azure, Rack space etc. work on threshold-based auto-scaling. In current IaaS environments there are various other factors like "Virtual Machine (VM)-turnaround time", "VM-stabilization time" etc. that affect the newly started VM from start time to request servicing time. If these factors are not considered while auto-scaling, then they will have direct effect on Service Level Agreement (SLA) implementations and users' response time. Therefore, these thresholds should be a function of load trend, which makes VM readily available when needed. Hence, we developed an approach where the thresholds adapt in advance and these thresholds are functions of all the above mentioned factors. Our experimental results show that our approach gives the better response time. © 2013 IEEE.Item Achieving green computing by effective utilization of cloud resources using a cloud OS(2013) Naik, N.N.; Kanagala, K.; Veigas, J.P.Cloud Computing is composed of amalgamation of different elements and solutions, namely operating systems running on a single virtualized computing environment, middleware layers that attempt to combine physical and virtualized resources from multiple operating systems, and specialized application engines that influence a substantial benefit of the cloud service provider (e.g. Amazon). In this platform, huge amount of resources are present in the cloud and this resources need to be managed effectively. When this resources are united, major problems are incorporated into the system as well as the application due to compatibility and consistency constraints, hence there does not exist a unified processing environment to carry out this operation. In this paper, we demonstrate the importance of cloud OS known as virtual distributed operating system that binds together this cloud resources in a single-unified processing environment that helps to manage the cloud resources in a flexible and accessible approach henceforth enhancing the systems performance. Several cloud OS are available to bridge the gap between this cloud resources. The experiment is being performed on several existing platforms that allows the user to access this resources with a user friendly GUI. By making use of a cloud OS the overhead in handling the cloud resources by the running machine can be successfully reduced for a particular cloud user hence directing towards efficient use of systems resources and contributing towards the features of green computing. © 2013 IEEE.