An Adaptive Data Center Manager for Data-Oriented Information Centric Networking

Abstract

In recent years, owing to the rapid development of network technology, traditional Client/Server network architecture has become less able to handle an increasing number of users. To solve this problem, Information-Centric Network (ICN) architecture was developed. The ICN is a new Client/Server network architecture that improves the efficiency of network transmission and increases the number of users through the use of multiple servers. The work develops a Data Center Manager (DCM) for an ICN with Job Allocation, Content Allocation and Loading Control modules, to optimize operating performance of the server and eliminate break traditional Client/Server network bottlenecks. In this work, the work distribution and load control module are analyzed. The results thus obtained demonstrate that Loading Control can effectively monitor the load on a server and Job Allocation can adjust the load, shifting the server from an overloaded to a non-overloaded state. This work results demonstrate that DCM planning increases a server overall transmission efficiency by approximately 17% and throughput by approximately 77 Mb.