TY - GEN
T1 - Joint VM-switch consolidation for energy efficiency in data centers
AU - Ma, Lijia
AU - Liu, Hai
AU - LEUNG, Yiu Wing
AU - CHU, Xiaowen
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - Virtual machine (VM) consolidation and switch/path consolidation are two typical techniques for improving energy efficiency in data centers (DCs). Most of existing work separately optimize VM consolidation and switch consolidation which results in inferiority of the optimization performance. Moreover, these work usually handle a user application as a VM flow (i.e., a source VM is connected to a destination VM). In practice, however, relation of VMs could be much more complex than the single flow and multiple VMs are connected via a network. In this work, we address a general DC energy optimization problem that enables tenants to express their applications by a general resource request graph (i.e., computation requests of VMs, bandwidth requests of VM communications, and time requests of VM execution). We propose a joint VM-switch consolidation (JVSC for short) algorithm to this problem. JVSC jointly optimizes the energy consumption of DCs in three steps: (i) it decreases the number of active PMs by VM consolidation; (ii) it decreases the number of active switches by switch consolidation at the tor tier, the aggregation tier and the core tier of the network, respectively; and (iii) it minimizes energy consumption of VM migration via an energy-aware migration strategy. Extensive experiments are conducted on both simulated applications and real Google cluster usage traces. Experimental results demonstrate that JVSC can save 60% around energy of DCs, compared to the state-of-the-art.
AB - Virtual machine (VM) consolidation and switch/path consolidation are two typical techniques for improving energy efficiency in data centers (DCs). Most of existing work separately optimize VM consolidation and switch consolidation which results in inferiority of the optimization performance. Moreover, these work usually handle a user application as a VM flow (i.e., a source VM is connected to a destination VM). In practice, however, relation of VMs could be much more complex than the single flow and multiple VMs are connected via a network. In this work, we address a general DC energy optimization problem that enables tenants to express their applications by a general resource request graph (i.e., computation requests of VMs, bandwidth requests of VM communications, and time requests of VM execution). We propose a joint VM-switch consolidation (JVSC for short) algorithm to this problem. JVSC jointly optimizes the energy consumption of DCs in three steps: (i) it decreases the number of active PMs by VM consolidation; (ii) it decreases the number of active switches by switch consolidation at the tor tier, the aggregation tier and the core tier of the network, respectively; and (iii) it minimizes energy consumption of VM migration via an energy-aware migration strategy. Extensive experiments are conducted on both simulated applications and real Google cluster usage traces. Experimental results demonstrate that JVSC can save 60% around energy of DCs, compared to the state-of-the-art.
KW - Data center
KW - Energy efficiency
KW - Switch consolidation
KW - VM consolidation
UR - http://www.scopus.com/inward/record.url?scp=85015432173&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2016.7841944
DO - 10.1109/GLOCOM.2016.7841944
M3 - Conference contribution
AN - SCOPUS:85015432173
T3 - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
BT - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
PB - IEEE
T2 - 59th IEEE Global Communications Conference, GLOBECOM 2016
Y2 - 4 December 2016 through 8 December 2016
ER -