The POPCORN market—an online market for computational resources
Proceedings of the first international conference on Information and computation economies
Multiple-queue backfilling scheduling with priorities and reservations for parallel systems
ACM SIGMETRICS Performance Evaluation Review
G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Tycoon: An implementation of a distributed, market-based resource allocation system
Multiagent and Grid Systems
BonjourGrid: Orchestration of multi-instances of grid middlewares on institutional Desktop Grids
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Using a market economy to provision compute resources across planet-wide clusters
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
On the design of scalable, self-configuring virtual networks
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
The Effects of Untruthful Bids on User Utilities and Stability in Computing Markets
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Improving MapReduce performance in heterogeneous environments
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
IP over P2P: enabling self-configuring virtual IP networks for grid computing
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Enabling a marketplace of clouds: VMware's vCloud director
ACM SIGOPS Operating Systems Review
Experiences with self-organizing, decentralized grids using the grid appliance
Proceedings of the 20th international symposium on High performance distributed computing
Improving Utilization of Infrastructure Clouds
CCGRID '11 Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Are user runtime estimates inherently inaccurate?
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
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This paper presents Cloud Bay, an online resource trading and leasing platform for multi-party resource sharing. Following a market-oriented design principle, Cloud Bay provides an abstraction of a shared virtual resource space across multiple administration domains, and features enhanced functionalities for scalable and automatic resource management and efficient service provisioning. Cloud Bay distinguishes itself from existing research and contributes in a number of aspects. First, it leverages scalable network virtualization and self-configurable virtual appliances to facilitate resource federation and parallel application deployment. Second, Cloud Bay adopts an eBay-style transaction model that supports differentiated services with different levels of job priorities. For cost-sensitive users, Cloud Bay implements an efficient matchmaking algorithm based on auction theory and enables opportunistic resource access through preemptive service scheduling. The proposed Cloud Bay platform stands between HPC service sellers and buyers, and offers a comprehensive solution for resource advertising and stitching, transaction management, and application-to-infrastructure mapping. In this paper, we present the design details of Cloud Bay, and discuss lessons and challenges encountered in the implementation process. The proof-of-concept prototype of Cloud Bay is justified through experiments across multiple sites and simulations.