Cooperative Coding and Caching for Streaming Data in Multihop Wireless Networks

被引:0
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作者
Dan Wang
Jiangchuan Liu
Qian Zhang
Fajun Chen
机构
[1] The Hong Kong Polytechnic University,Department of Computing
[2] Simon Fraser University Burnaby,School of Computing Science
[3] Hong Kong University of Science and Technology,Department of Computer Science
[4] National University of Defense Technology,Key Laboratory of Science and Technology for National Defence of Parallel and Distributed Processing, School of Computer
关键词
Data Access; Combine Data; Network Code; Full Article; Promising Solution;
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摘要
This paper studies the distributed caching managements for the current flourish of the streaming applications in multihop wireless networks. Many caching managements to date use randomized network coding approach, which provides an elegant solution for ubiquitous data accesses in such systems. However, the encoding, essentially a combination operation, makes the coded data difficult to be changed. In particular, to accommodate new data, the system may have to first decode all the combined data segments, remove some unimportant ones, and then reencode the data segments again. This procedure is clearly expensive for continuously evolving data storage. As such, we introduce a novel Cooperative Coding and Caching ([inline-graphic not available: see fulltext]) scheme, which allows decoding-free data removal through a triangle-like codeword organization. Its decoding performance is very close to the conventional network coding with only a sublinear overhead. Our scheme offers a promising solution to the caching management for streaming data.
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