Digital Control of Dynamic Systems
Digital Control of Dynamic Systems
Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
Scheduling with Advanced Reservations
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Feedback Control of Computing Systems
Feedback Control of Computing Systems
Friendly virtual machines: leveraging a feedback-control model for application adaptation
Proceedings of the 1st ACM/USENIX international conference on Virtual execution environments
Virtual Clusters for Grid Communities
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Feedback Control Architecture and Design Methodology for Service Delay Guarantees in Web Servers
IEEE Transactions on Parallel and Distributed Systems
On the Use of Fuzzy Modeling in Virtualized Data Center Management
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Proactive fault tolerance for HPC with Xen virtualization
Proceedings of the 21st annual international conference on Supercomputing
Combining batch execution and leasing using virtual machines
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Feedback-controlled resource sharing for predictable eScience
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Adaptive pricing for resource reservations in Shared environments
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Towards dynamically adaptive weather analysis and forecasting in LEAD
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Automatic virtual machine configuration for database workloads
ACM Transactions on Database Systems (TODS)
Predictable time-sharing for DryadLINQ cluster
Proceedings of the 7th international conference on Autonomic computing
Autonomic Resource Management with Support Vector Machines
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Cost-Aware and SLO-Fulfilling Software as a Service
Journal of Grid Computing
Adaptive response time control for metadata matching in information dissemination systems
Journal of Systems Architecture: the EUROMICRO Journal
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Unpredictable access to batch-mode HPC resources is a significant problem for emerging dynamic data-driven applications. Although efforts such as reservation or queue-time prediction have attempted to partially address this problem, the approaches strictly based on space-sharing impose fundamental limits on real-time predictability. In contrast, our earlier work investigated the use of feedback-controlled virtual machines (VMs), a time-sharing approach, to deliver predictable execution. However, our earlier work did not fully address usability and implementation efficiency. This paper presents an online, software-only version of feedback controlled VM, called self-tuning VM, which we argue is a practical approach for predictable HPC infrastructure. Our evaluation using five widely-used applications show our approach is both predictable and practical: by simply running time-dependent jobs with our tool, we meet a job’s deadline typically within 3% errors, and within 8% errors for the more challenging applications.