October 15, 2013
Comments Off on Load Rebalancing for Distributed File Systems in Clouds
Posted in: Final year projects
Load Rebalancing for Distributed File Systems in Clouds ABSTRACT: Distributed file systems are key building blocks for cloud computing applications based on the MapReduce programming paradigm. In such file systems, nodes simultaneously serve computing and storage functions; a file is partitioned into a number of chunks allocated in distinct nodes so that MapReduce tasks can […]
October 15, 2013
Comments Off on A Load Balancing Model Based on Cloud Partitioning for the Public Cloud
Posted in: Final year projects
A Load Balancing Model Based on Cloud Partitioning for the Public Cloud ABSTRACT: Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud based on the cloud […]