— Database Management Systems (DBMSs) are often required to simultaneously process multiple diverse workloads while enforcing business policies that govern workload performance. ...
Wendy Powley, Patrick Martin, Mingyi Zhang, Paul B...
In data centers hosting scaling Internet applications, operators face the tradeoff dilemma between resource efficiency and Quality of Service (QoS), and the root cause lies in wo...
Automated storage management is critical for most dataintensive applications running on DBMSs. In large-scale storage subsystems, the workload is expected to vary with time. In or...
Lin Qiao, Balakrishna R. Iyer, Divyakant Agrawal, ...
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...
This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...