Wang, K and Yang, K and Chen, HH and Zhang, L (2017) Computation diversity in emerging networking paradigms. IEEE Wireless Communications, 24 (1). pp. 88-94. DOI https://doi.org/10.1109/MWC.2017.1600161WC
Wang, K and Yang, K and Chen, HH and Zhang, L (2017) Computation diversity in emerging networking paradigms. IEEE Wireless Communications, 24 (1). pp. 88-94. DOI https://doi.org/10.1109/MWC.2017.1600161WC
Wang, K and Yang, K and Chen, HH and Zhang, L (2017) Computation diversity in emerging networking paradigms. IEEE Wireless Communications, 24 (1). pp. 88-94. DOI https://doi.org/10.1109/MWC.2017.1600161WC
Abstract
Nowadays, computation is playing an increasingly more important role in the future generation of computer and communication networks, as exemplified by the recent progress in SDN for wired networks as well as C-RAN and mobile cloud computing (MCC) for wireless networks. This article proposes a unified concept (i.e., computation diversity) to describe the impact and diverse forms of the computation resources on both wired and wireless communications. By linking the computation resources to the communication networks based on quality of service requirements, we can show how computation resources influence the networks. Moreover, by analyzing the different functionalities of computation resources in SDN, C-RAN, and MCC, we can show the diverse and flexible forms that the computation resources present in different networks. The study of computation diversity can provide guidance in future networks design as far as how to allocate the resources jointly between computation (e.g., CPU capacity) and communication (e.g., bandwidth), thereby saving system energy and improving users' experiences.
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 06 Oct 2017 11:48 |
Last Modified: | 30 Oct 2024 20:26 |
URI: | http://repository.essex.ac.uk/id/eprint/20424 |
Available files
Filename: 1701.06008.pdf