A New Memory Monitoring Scheme for Memory-Aware Scheduling and Partitioning
HPCA '02 Proceedings of the 8th International Symposium on High-Performance Computer Architecture
Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Addressing shared resource contention in multicore processors via scheduling
Proceedings of the fifteenth edition of ASPLOS on Architectural support for programming languages and operating systems
Resource-conscious scheduling for energy efficiency on multicore processors
Proceedings of the 5th European conference on Computer systems
Black-box and gray-box strategies for virtual machine migration
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
A case for NUMA-aware contention management on multicore systems
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
Cloud-scale resource management: challenges and techniques
HotCloud'11 Proceedings of the 3rd USENIX conference on Hot topics in cloud computing
Dimensioning the virtual cluster for parallel scientific workflows in clouds
Proceedings of the 4th ACM workshop on Scientific cloud computing
| Hi-index | 0.00 |
Although virtual machine (VM) migration has been used to avoid conflicts on traditional system resources like CPU and memory, micro-architectural resources such as shared caches, memory controllers, and non-uniform memory access (NUMA) affinity, have only relied on intra-system scheduling to reduce contentions on them. This study shows that live VM migration can be used to mitigate the contentions on micro-architectural resources. Such cloud-level VM scheduling can widen the scope of VM selections for architectural shared resources beyond a single system, and thus improve the opportunity to further reduce possible conflicts. This paper proposes and evaluates two cluster-level virtual machine scheduling techniques for cache sharing and NUMA affinity, which do not require any prior knowledge on the behaviors of VMs.