Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-09-24
In Proceedings of 3rd IEEE International Conference of New Technologies, Mobility and Security, 2009
Computer Science
Distributed, Parallel, and Cluster Computing
5 pages, 5 figures, NTMS 2009, Cairo, Egypt
Scientific paper
10.1145/1330555.1330556
The primary motivation for uptake of virtualization has been resource isolation, capacity management and resource customization allowing resource providers to consolidate their resources in virtual machines. Various approaches have been taken to integrate virtualization in to scientific Grids especially in the arena of High Performance Computing (HPC) to run grid jobs in virtual machines, thus enabling better provisioning of the underlying resources and customization of the execution environment on runtime. Despite the gains, virtualization layer also incur a performance penalty and its not very well understood that how such an overhead will impact the performance of systems where jobs are scheduled with tight deadlines. Since this overhead varies the types of workload whether they are memory intensive, CPU intensive or network I/O bound, and could lead to unpredictable deadline estimation for the running jobs in the system. In our study, we have attempted to tackle this problem by developing an intelligent scheduling technique for virtual machines which monitors the workload types and deadlines, and calculate the system over head in real time to maximize number of jobs finishing within their agreed deadlines.
Anthony Richard
Khalid Omer
Maljevic Ivo
Parrot Kevin
Petridis Miltos
No associations
LandOfFree
Dynamic scheduling of virtual machines running hpc workloads in scientific grids does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Dynamic scheduling of virtual machines running hpc workloads in scientific grids, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Dynamic scheduling of virtual machines running hpc workloads in scientific grids will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-274386