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Symmetry 2017, 9(10), 221;

Intelligent Aggregation Based on Content Routing Scheme for Cloud Computing

School of Information Science and Engineering, Central South University, Changsha 410083, China
Department of Computer Science, Stony Brook University, Stony Brook, NY 11794, USA
Department of School of Computer Science and Technology, Huaqiao University, Quanzhou 362000, China
School of Information Technology in Education, South China Normal University, Guangzhou 510631, China
Author to whom correspondence should be addressed.
Received: 8 September 2017 / Revised: 28 September 2017 / Accepted: 6 October 2017 / Published: 11 October 2017
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Cloud computing has emerged as today’s most exciting computing paradigm for providing services using a shared framework, which opens a new door for solving the problems of the explosive growth of digital resource demands and their corresponding convenience. With the exponential growth of the number of data types and data size in so-called big data work, the backbone network is under great pressure due to its transmission capacity, which is lower than the growth of the data size and would seriously hinder the development of the network without an effective approach to solve this problem. In this paper, an Intelligent Aggregation based on a Content Routing (IACR) scheme for cloud computing, which could reduce the amount of data in the network effectively and play a basic supporting role in the development of cloud computing, is first put forward. All in all, the main innovations in this paper are: (1) A framework for intelligent aggregation based on content routing is proposed, which can support aggregation based content routing; (2) The proposed IACR scheme could effectively route the high aggregation ratio data to the data center through the same routing path so as to effectively reduce the amount of data that the network transmits. The theoretical analyses experiments and results show that, compared with the previous original routing scheme, the IACR scheme can balance the load of the whole network, reduce the amount of data transmitted in the network by 41.8%, and reduce the transmission time by 31.6% in the same network with a more balanced network load. View Full-Text
Keywords: cloud computing; intelligence aggregation; content routing; load; delay cloud computing; intelligence aggregation; content routing; load; delay

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Xu, J.; Liu, X.; Ma, M.; Liu, A.; Wang, T.; Huang, C. Intelligent Aggregation Based on Content Routing Scheme for Cloud Computing. Symmetry 2017, 9, 221.

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