Actors: a model of concurrent computation in distributed systems
Actors: a model of concurrent computation in distributed systems
ACM Computing Surveys (CSUR)
Programming dynamically reconfigurable open systems with SALSA
ACM SIGPLAN Notices
A Simple MPI Process Swapping Architecture for Iterative Applications
International Journal of High Performance Computing Applications
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Malleable applications for scalable high performance computing
Cluster Computing
Cost-Optimal Scheduling in Hybrid IaaS Clouds for Deadline Constrained Workloads
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
EC2 performance analysis for resource provisioning of service-oriented applications
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing
IEEE Transactions on Parallel and Distributed Systems
Cost-Efficient Scheduling Heuristics for Deadline Constrained Workloads on Hybrid Clouds
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds
Future Generation Computer Systems
Deadline-driven provisioning of resources for scientific applications in hybrid clouds with Aneka
Future Generation Computer Systems
Elastic Scalable Cloud Computing Using Application-Level Migration
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Programming Distributed Computing Systems: A Foundational Approach
Programming Distributed Computing Systems: A Foundational Approach
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Cloud computing's pay-per-use model greatly reduces upfront cost and also enables on-demand scalability as service demand grows or shrinks. Hybrid clouds are an attractive option in terms of cost benefit, however, without proper elastic resource management, computational resources could be over-provisioned or under-provisioned, resulting in wasting money or failing to satisfy service demand. In this paper, to accomplish accurate performance prediction and cost-optimal resource management for hybrid clouds, we introduce Workload-tailored Elastic Compute Units (WECU) as a measure of computing resources analogous to Amazon EC2's ECUs, but customized for a specific workload. We present a dynamic programming-based scheduling algorithm to select a combination of private and public resources which satisfy a desired throughput. Using a loosely-coupled benchmark, we confirmed WECUs have 24 (J% better runtime prediction ability than ECUs on average. Moreover, simulation results with a real workload distribution of web service requests show that our WECU-based algorithm reduces costs by 8-31% compared to a fixed provisioning approach.