Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cheng, Li-Wei | en_US |
dc.contributor.author | Wang, Shie-Yuan | en_US |
dc.date.accessioned | 2017-04-21T06:49:33Z | - |
dc.date.available | 2017-04-21T06:49:33Z | - |
dc.date.issued | 2015 | en_US |
dc.identifier.isbn | 978-1-4799-5952-5 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/136297 | - |
dc.description.abstract | Big-Data applications need to shuffle their data over a network in a very large amount. The ability to efficiently allocate network resources to quickly finish the shuffle greatly affects the overall processing speed of Big-Data applications. The recent emergence of software-defined networking (SDN) technology makes it easier for the network to integrate with a Big-Data application. The network can allocate network resources based on an application\'s run-time requirements to accelerate the speed of Big-Data delivery. In this paper, we used Hadoop as a Big-Data application platform and designed an application-aware SDN routing scheme for Hadoop to accelerate its MapReduce data shuffling over a network. Our results show that our method can outperform the ECMP-RR scheme by up to 20% and outperform the Spanning Tree method and the Floodlight OpenFlow controller by up to 70%. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Application-Aware SDN Routing for Big Data Networking | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000382389303153 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |