The Community for Technology Leaders
2017 IEEE International Conference on Computer Design (ICCD) (2017)
Boston, MA, USA
Nov. 5, 2017 to Nov. 8, 2017
ISSN: 1063-6404
ISBN: 978-1-5386-2254-4
pp: 557-564
We present CloudShelter, an architecture to protect virtual machines' memory availability from undesired resource contention on the cloud servers. We introduce a new micro-architectural metric: Memory Round Trip Time, to quantify VMs' memory QoS. Using this metric, (1) CloudShelter defines new QoS options for customers when launching VMs. These options can guarantee VMs' memory QoS at different levels even when they face intensive contention with co-located VMs; (2) CloudShelter periodically monitors VMs' memory QoS at runtime: once QoS violations against customers' demands are detected, CloudShelter places this VM into an isolated environment to eliminate contention. CloudShelter can reduce 30.1% performance interference from LLC/DRAM contention and 81.6% interference from bus contention1.
cloud computing, data protection, DRAM chips, quality of service, resource allocation, storage management, virtual machines

T. Zhang, Y. Xu, Y. Bao and R. B. Lee, "CloudShelter: Protecting Virtual Machines' Memory Resource Availability in Clouds," 2017 IEEE 35th International Conference on Computer Design (ICCD), Boston, MA, USA, 2018, pp. 557-564.
476 ms
(Ver 3.3 (11022016))