Cost optimal resource provisioning for live video forwarding across video data centers Gao, Yihong, Ma, Huadong, Liu, Wu and Yu, Shui 2016, Cost optimal resource provisioning for live video forwarding across video data centers. In Wang, Yu, Yu, Ge, Zhang, Yanyong, Han, Zhu and Wang, Guoren (ed), Big data computing and communications: second international conference, BigCom 2016, Shenyang, China, July 29-31, 2016. Proceedings, Springer, Cham, Switzerland, pp.27-38, doi: 10.1007/978-3-319-42553-5_3. Attached Files Name Description MIMEType Size Downloads Title Cost optimal resource provisioning for live video forwarding across video data centers Author(s) Gao, Yihong Ma, Huadong Liu, Wu Yu, Shui orcid.org/0000-0003-4485-6743 Title of book Big data computing and communications: second international conference, BigCom 2016, Shenyang, China, July 29-31, 2016. Proceedings Editor(s) Wang, Yu Yu, Ge Zhang, Yanyong Han, Zhu Wang, Guoren Publication date 2016 Series Lecture notes in computer science Chapter number 3 Total chapters 39 Start page 27 End page 38 Total pages 12 Publisher Springer Place of Publication Cham, Switzerland Keyword(s) video surveillance as a service video data center live video forwarding resource provisioning Summary Live video forwarding for IP cameras has become a popular service in video data centers. In the forwarding service, requests of end users from different regions arrive in real-time to gain live video streams of IP cameras from inter-connected video data centers. A fundamental scheduling problem is how to assign resources with the global optimal resource cost and forwarding delay to forward live video streams. We introduce the resource provisioning cost as the combination of media server cost, connection bandwidth cost, and forwarding delay cost. In this paper, a multi-objective resource provisioning (MORP) approach is proposed to deal with the online inter-datacenter resource provisioning problem. The approach aims at minimizing the resource provisioning cost during live video forwarding. It adaptively allocates media servers in appropriate video data centers and connects the chosen media servers together to provide system scalability and connectivity. Different from previous works, MORP takes both resource capacity and diversity (e.g. location and price) into consideration during live video forwarding. Finally, the experimental results show that MORP approach not only cuts the resource provisioning cost of 3% to 10% comparing to the bench mark approach, but also shortens the resource provisioning delay. ISBN 9783319425528 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-319-42553-5_3 Field of Research 080109 Pattern Recognition and Data Mining 080503 Networking and Communications Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2016, Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30085885 Document type: Book Chapter Collections: School of Information Technology ERA Postprints 2018 ERA Submission Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 05 Sep 2016, 13:48:37 EST Tue, 06 Sep 2016, 05:00:35 EST Tue, 06 Sep 2016, 06:09:20 EST Wed, 12 Oct 2016, 09:03:01 EST Wed, 12 Oct 2016, 09:09:12 EST Wed, 12 Oct 2016, 09:12:57 EST Wed, 21 Dec 2016, 14:35:27 EST Wed, 11 Jan 2017, 09:55:55 EST Tue, 10 Apr 2018, 11:35:30 EST Tue, 10 Apr 2018, 11:39:45 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 178 Abstract Views, 10 File Downloads  -  Detailed Statistics Created: Mon, 05 Sep 2016, 13:48:37 EST

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