|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Hypervisor Scheduler Enhancement Using OS-Hardware Interactions
If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.
This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
As the hypervisor has become a common software layer in conventional software stack and applications are continuously diversifying, computing environments have now undergone increasing gap between end-user software and underlying hardware. In particular, the design principle of lightweight hypervisor causes a blockage to information flow while granting the workload-agnostic hypervisor the entire control of bare-metal hardware resources. The blockage leads the hypervisor to ineffective decisions about CPU resource scheduling, which is a primitive role of arbitrating the competing demands of workload executions, due to the lack of workload information. In this talk, I present two CPU scheduling approaches devised to improve the performance of consolidated workloads using common OS-hardware interactions: 1) Demand-based coordinated scheduling for SMP V Ms, and 2) task-aware scheduling for I/O-intensive and interactive workloads. Firstly, the demand-based coordinated scheduling addresses scheduling issues arising when communication-intensive workloads are hosted on multiprocessor VMs, which share underlying multi-core processors. Inspired by the demand-based coscheduling demonstrated in cluster environments, I devised an SMP VM scheduling scheme that dynamically coordinates vCPUs based on their communication (i.e., inter-processor interrupt). Secondly, task-aware VM scheduling makes a task-oblivious hypervisor scheduler aware of task-level characteristics such as I/O-boundness and user interactivity. To this end, I devised several inference techniques based on per-task CPU time and I/O events that can be captured by OS-hardware interactions.
This talk is part of the Microsoft Research Cambridge, public talks series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsThe Eastern Counties Branch of The Welding Institute Cambridge University Science and Policy Exchange (CUSPE) Cambridge University Engineering Department Talks
Other talksTransition and Justice in Africa: A Panel Discussion From suppression of fingering to wrinkly fingers under elastic membranes Plenary Lecture 5: Engineering microbial community architecture to set community metabolism CGHR Research Group: What is being targeted when women become the victims of anti-Muslim hate crime? Religion, or gender, or both? Between rock and a hard place: soil, the ambiguous material COMT: from single nucleotide polymorphism to whole brain function.