Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
Browse
Search Results
Item Energy aware SLA and green cloud federations(Institute of Electrical and Electronics Engineers Inc., 2016) Joy, N.; Chandrasekaran, K.; Binu, A.Cloud computing has been an emerging research topic since 2007. The online services are delivered as pay-as-you-use in Cloud computing. The customers need not be in a long term contract with Cloud Service Providers (CSPs). Service level agreements (SLAs) are agreements signed between a cloud service provider and customers. Energy aware SLAs extend the existing SLA agreements in order to include energy and carbon aware parameters. The efficiency and availability of the system are not disturbed when certain jobs are relaxed in order to obtain high energy consumption. In order to increase the energy consumption further we incorporated the concept of cloud federations in which a group of CSPs, mutually agree to make use of their resources to execute the VMs of other CSPs. An algorithm based on the amount of energy consumed by different CSPs is being readily implemented. This algorithm grant a group of CSPs to jointly set the federations in a manner to distribute their work equally so as to reduce the energy consumed. The results from the above approach show that it can be considered as a hopeful solution to the problem of reducing the energy cost even though there are a few challenges during implementation. © 2016 IEEE.Item Determination of task scheduling mechanism using computational intelligence in Cloud Computing(Institute of Electrical and Electronics Engineers Inc., 2016) George, N.; Chandrasekaran, K.; Binu, A.Cloud Computing delivers computational services through the internet. The services availed can vary according to the user requirements. The services are basically provided using virtualization technique. One of the services that are provided is the computational services for the client tasks. The client provides the Service Provider with various sized tasks that need to be executed. The execution of tasks is done using the resources present within the Provider of the services. The service provider checks for available resources, and allocates the jobs to these resources in such a manner as to minimize execution time, and various other factors that affect the performance of the Cloud. The process of allocating resources to the tasks is known as scheduling, and various scheduling mechanisms are present. A single scheduling strategy may not be always optimal in performing scheduling. In this paper, an improved mechanism for choosing the scheduling strategy is explained, which aims at addressing the problems associated with choosing the right scheduling mechanism according to the previously exhibited performances. Experimental results demonstrate the importance of using such a mechanism in selecting the right scheduling strategy. © 2015 IEEE.Item A study on energy efficient cloud computing(Institute of Electrical and Electronics Engineers Inc., 2016) Joy, N.; Chandrasekaran, K.; Binu, A.The rapid increase in demand for computation, increasing amount of data storage needed for running high performance computing enterprises increases the energy and power consumed by large infrastructure. Cloud computing provides a solution to reduce the adverse environmental impacts and saves energy. Our paper draws the attention on the various methods enforced on the cloud environment to make it more energy efficient. In this paper the different energy and power models are being discussed and the main challenges to build a model for green cloud with the help of SLAs are identified. One of the main objectives considered in cloud computing is to provide reliable QoS. This can be defined in the SLA which describes such characteristics. The different ways to minimize energy and power in the cloud computing services are also being discussed in this paper. Our work surveys the various models which will pave the road map for an energy efficient cloud. © 2015 IEEE.Item An objective study on improvement of task scheduling mechanism using computational intelligence in cloud computing(Institute of Electrical and Electronics Engineers Inc., 2016) George, N.; Chandrasekaran, K.; Binu, A.Cloud Computing facilitates delivery of various types of computational services through the internet. These services can be availed according to the user demand. The resource scarcity problems within the Service Providers are met using Virtualization technique, which allows scalability of resources and thereby helps to meet the client requirements. Allocation of resources to client tasks is an issue that is being addressed for a long time. Due to the increased complexity in the area, there has not yet been a perfect scheduling mechanism. Practices have been done profusely in order to find solutions for scheduling that nears optimality. A single scheduling mechanism may not always give the expected outcome. The task scheduling mechanisms are designed in a manner as to optimize some metrics related to the Cloud. This paper overviews various literature associated with task scheduling and resource scheduling in Cloud Computing. An examination of the techniques is done and a proposal is made, which will allow to further improve the scheduling mechanism. © 2015 IEEE.