A dynamic processor allocation policy for multiprogrammed shared-memory multiprocessors
ACM Transactions on Computer Systems (TOCS)
The EASY - LoadLeveler API Project
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Core Algorithms of the Maui Scheduler
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
VMPlants: Providing and Managing Virtual Machine Execution Environments for Grid Computing
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Tracking time-varying parameters in software systems with extended Kalman filters
CASCON '05 Proceedings of the 2005 conference of the Centre for Advanced Studies on Collaborative research
Science gateways made easy: the In-VIGO approach: Research Articles
Concurrency and Computation: Practice & Experience - Science Gateways—Common Community Interfaces to Grid Resources
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Decision Model for Cloud Computing under SLA Constraints
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Cost-Wait Trade-Offs in Client-Side Resource Provisioning with Elastic Clouds
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
Flexible Distributed Capacity Allocation and Load Redirect Algorithms for Cloud Systems
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
State of the Practice Reports
Provisioning spot market cloud resources to create cost-effective virtual clusters
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part I
Evaluation of gang scheduling performance and cost in a cloud computing system
The Journal of Supercomputing
ViteraaS: Virtual Cluster as a Service
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
Statistical Modeling of Spot Instance Prices in Public Cloud Environments
UCC '11 Proceedings of the 2011 Fourth IEEE International Conference on Utility and Cloud Computing
Optimal Resource Rental Planning for Elastic Applications in Cloud Market
IPDPS '12 Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium
Scheduling strategies for optimal service deployment across multiple clouds
Future Generation Computer Systems
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Recent studies have found cloud environments increasingly appealing for executing HPC applications, including tightly coupled parallel simulations. While public clouds offer elastic, on-demand resource provisioning and pay-as-you-go pricing, individual users setting up their on-demand virtual clusters may not be able to take full advantage of common cost-saving opportunities, such as reserved instances. In this paper, we propose a Semi-Elastic Cluster (SEC) computing model for organizations to reserve and dynamically resize a virtual cloud-based cluster. We present a set of integrated batch scheduling plus resource scaling strategies uniquely enabled by SEC, as well as an online reserved instance provisioning algorithm based on job history. Our trace-driven simulation results show that such a model has a 61.0% cost saving than individual users acquiring and managing cloud resources without causing longer average job wait time. Meanwhile, the overhead of acquiring/maintaining shared cloud instances is shown to take only a few seconds.