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- W2602734905 abstract "today's cloud computing Data Centers (DCs) contain tens of thousands of servers with highly significant and remarkable bandwidth requirements as the demands of cloud computing applications, social applications, multimedia contents, and data intensive analysis are dramatically rising. Even thus, current DC technologies have following problems. First, power consumption of a Data Center Network (DCN) are constant irrespective of the use of network resources. Second, violation of the users' SLA according to a static routing technique, a few links in the DCNs are experiencing congestion while other majority links are being underutilized. Third, VM placement and VM problems are essential in datacenter because current server hardware capacities are more than the requirements of the demands from users. To overcome these limitations of the current DCNs, we proposed a distributed Software Defined Networking (SDN) -based mechanism, which consists of energy efficient VM placement and QoS Aware routing with elephant flow detection scheme. our mechanism reduces power consumption of the DCN by turning off/on links, switches and servers. To satisfy user experienced in terms of users' QoS and decreased network congestion, QRVE distributes traffics using traffic aware multipath routing scheme which recognizes elephant flows at the edge layer (Access Layer) across DCN." @default.
- W2602734905 created "2017-04-07" @default.
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- W2602734905 date "2016-09-01" @default.
- W2602734905 modified "2023-09-27" @default.
- W2602734905 title "QRVE: QoS-aware routing and energy-efficient VM Placement for Software-Defined DataCenter Networks" @default.
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- W2602734905 doi "https://doi.org/10.1109/istel.2016.7881879" @default.
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