Cloud computing is the architecture in which cloudlets are executed by the virtual machines. The most applicable virtual machines are selected on the basis of execution time and failure rate. Due to virtual machine overloading, the execution time and energy consumption is increased at steady rate. In this paper, BFO technique is applied in which weight of each virtual machine is calculated and the virtual machine which has the maximum weight is selected on which cloudlet will be migrated. The performance of proposed algorithm is tested by implementing it in CloudSim and analyzing it in terms of execution time, energy consumption.

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Cloud Computing is being used widely all over the world by many IT companies as it provides various benefits to the users like cost saving and ease of use. However, with the growing demands of users for computing services, cloud providers are encouraged to deploy large datacenters which consume very high amount of energy and also contribute to the increase in carbon dioxide emission in the environment. Therefore, we require to develop techniques which will help to get more environment friendly computing i.e. Green Cloud Computing. In this paper, we have reviewed the existing mechanisms and a new strategy to reduce the carbon dioxide emissions in federated Cloud ecosystems. More specifically, we propose a solution that allows providers to determine the best green destination to reduce the carbon dioxide emissions of the whole federated environment.

The aim of the work is to provide an overview of virtualization methods, while focusing on Docker. This new virtualization stage, which incredibly contrasts from the customary, virtual machine based way to deal with virtualization, has started gigantic enthusiasm for Linux holders. Accordingly, numerous Docker based activities have risen extending from straightforward order line apparatuses to whole working frameworks. To pick up a more profound comprehension of Docker's inside components, the proposed work shows working with Docker's Remote API. In this work, an attempt has been made to address the imperative security issues of the Docker compartments. Additionally, security calculations and strategies have been proposed to address DoS attacks related issues in the Docker holder innovation. The preparatory investigations and testing of the security strategies are promising. Results show that the Validation, Authentication and security is noticeably increased in proposed model as comparison to existing model.