Data Storing in Multitenant Clouds using Split and Merge Method

Resource Accounting of Shared IT Resources is a technique that distributes the excess dynamic local workload evenly across all the nodes. It is used for achieving a better service provisioning and resource utilization ratio, hence improving the overall performance of the system Incoming tasks are coming from different location are received by the load balancer and then distributed to the data center, for the proper load distribution. Also accounting of the shared resources is very important to process the new requests. Hence in this project, we have designed and implemented the resource accounting technique, called Rameter. Rameter consists of 2 parts : 1. Keeps track of the distributed requests. 2. Keeps an account of the resource usage. Also integrated Linear Regression (LR) to monitor the accountability of the CPU usage. For experimental results, we are implementing Apache server as the accounting load balancer to keep track of the virtual machine status. Tomcat server is installed in virtual machine to obtain the job status.For data secure repository or data recovery in cloud storage we proposed muti-cloud architecture, where the user data is split into 2 parts and both files are encrypted and stored in Cloud 1 and Cloud 2. During the request our technique will merge the 2 parts and provide the response to the requested user. For Cloud storage we are invoking public clouds namely Dropbox and CloudMe. Aswini. S | Prasanna. S"Data Storing in Multitenant Clouds using Split and Merge Method" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9609.pdf http://www.ijtsrd.com/engineering/computer-engineering/9609/data-storing-in-multitenant-clouds-using-split-and-merge-method/aswini-s