TY - GEN
T1 - Faster Placement of Virtual Machines through Adaptive Caching
AU - Einziger, Gil
AU - Goldstein, Maayan
AU - Sarar, Yaniv
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Network Function Virtualization (NFV) allows operators to deploy network functions in virtual machines (VMs) and benefit from on-demand deployment. VMs are placed on one of the hosts in the cloud, and existing resource management algorithms assume full knowledge of the system's state. For large clusters, attaining the system's state creates bottlenecks and therefore it takes a long time to deploy network functionalities. Intuitively, placement can be accelerated if the resource management algorithm operates on a cached system state which is not entirely up to date, but the placement quality may suffer. Our work introduces a new cache refresh method that achieves an up to a 5.3x reduction in placement time with only a slight degradation of quality compared to having the complete and up to date system's state.11The research leading to these results has received funding from the European Union under the H2020 and 5G-PPP Phase2 programmes, under Grant Agreement No.
AB - Network Function Virtualization (NFV) allows operators to deploy network functions in virtual machines (VMs) and benefit from on-demand deployment. VMs are placed on one of the hosts in the cloud, and existing resource management algorithms assume full knowledge of the system's state. For large clusters, attaining the system's state creates bottlenecks and therefore it takes a long time to deploy network functionalities. Intuitively, placement can be accelerated if the resource management algorithm operates on a cached system state which is not entirely up to date, but the placement quality may suffer. Our work introduces a new cache refresh method that achieves an up to a 5.3x reduction in placement time with only a slight degradation of quality compared to having the complete and up to date system's state.11The research leading to these results has received funding from the European Union under the H2020 and 5G-PPP Phase2 programmes, under Grant Agreement No.
UR - https://www.scopus.com/pages/publications/85068214845
U2 - 10.1109/INFOCOM.2019.8737378
DO - 10.1109/INFOCOM.2019.8737378
M3 - Conference contribution
AN - SCOPUS:85068214845
T3 - Proceedings - IEEE INFOCOM
SP - 2458
EP - 2466
BT - INFOCOM 2019 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers
T2 - 2019 IEEE Conference on Computer Communications, INFOCOM 2019
Y2 - 29 April 2019 through 2 May 2019
ER -