Interference-aware cloud performance management


Performance Analysis of Computer Systems Lab

Computer Science Department, Stony Brook University

Location: Room 336, New CS Building. Lab PI: Anshul Gandhi  (anshul (at)

Interference-aware cloud performance management
(June 2015 - present)

Cloud computing provides economical and elastic resources to users for their software deployment needs; the low resource cost is realized via multi-tenancy, which allows for physical resources to be shared among several users via virtualization. Unfortunately, multi-tenancy results in undesirable performance effects, the most severe of which is interference, which is caused by lack of effective performance isolation among users of colocated resources. Interference can result in significant performance degradation, increasing application response times by factors of 5-20X.

The goal of this project is to enable user-centric solutions to detect and estimate interference in cloud-deployed applications without requiring any assistance from the hypervisor. These solutions will allow users to meet application performance targets in unreliable cloud environments.




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