DocumentCode :
3434843
Title :
Flow-and-VM Migration for Optimizing Throughput and Energy in SDN-Based Cloud Datacenter
Author :
Wei-Chu Lin ; Chien-Hui Liao ; Kuan-Tsen Kuo ; Wen, Charles H.-P
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
1
fYear :
2013
fDate :
2-5 Dec. 2013
Firstpage :
206
Lastpage :
211
Abstract :
Minimizing energy consumption and improving performance in data centers are critical to cost-saving for cloud operators, but traditionally, these two optimization objectives are treated separately. Therefore, this paper presents an unified solution combining two strategies, flow migration and VM migration, to maximize throughput and minimize energy, simultaneously. Traffic-aware flow migration (FM) is first incorporated in dynamic reroute (DENDIST), evolving into DENDIST-FM, in a software-defined network (SDN) for improving throughput and avoiding congestion. Second, given energy and topology information, VM migration (ETA-VMM) can help reduce traffic loads and meanwhile save energy. Our experimental result indicates that compared to previous works, the proposed method can improve throughput by 42.5% on average with only 2.2% energy overhead. Accordingly, the unified flow-and-VM migration solution has been proven effective for optimizing throughput and energy in SDN-based cloud data centers.
Keywords :
cloud computing; computer centres; computer networks; power aware computing; telecommunication network routing; telecommunication network topology; telecommunication traffic; virtual machines; DENDIST-FM; ETA-VMM; FM; SDN-based cloud data center; cloud operators; data centers; dynamic-reroute algorithm; energy consumption minimization; energy optimization; flow-and-VM migration solution; software-defined network; throughput optimization; topology information; traffic load reduction; traffic-aware flow migration; virtual machines; Cloud computing; Energy consumption; Frequency modulation; Network topology; Routing; Throughput; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
Type :
conf
DOI :
10.1109/CloudCom.2013.35
Filename :
6753799
Link To Document :
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