DeepDive: Transparently Identifying and Managing Performance Interference in Virtualized Environments
2013 (English)In: Proceedings of The 2013 USENIX Annual Technical Conference, 2013Conference paper (Refereed)
We describe the design and implementation of Deep-Dive, a system for transparently identifying and managing performance interference between virtual machines (VMs) co-located on the same physical machine in Infrastructure-as-a-Service cloud environments. DeepDive successfully addresses several important challenges, including the lack of performance information from applications, and the large overhead of detailed interference analysis. We first show that it is possible to use easily-obtainable, low-level metrics to clearly discern when interference is occurring and what resource is causing it. Next, using realistic workloads, we show that DeepDive quickly learns about interference across co-located VMs. Finally, we show DeepDive’s ability to deal efficiently with interference when it is detected, by using a low-overhead approach to identifying a VM placement that alleviates interference.
Place, publisher, year, edition, pages
IdentifiersURN: urn:nbn:se:kth:diva-147112OAI: oai:DiVA.org:kth-147112DiVA: diva2:727721
The 2013 USENIX Annual Technical Conference, June 26-28, 2013, San Jose, CA, USA
QC 201407032014-06-232014-06-232014-07-03Bibliographically approved