Communications of the ACM
Enabling Flexible Queries with Guarantees in P2P Systems
IEEE Internet Computing
A computational infrastructure for grid-based asynchronous parallel applications
Proceedings of the 16th international symposium on High performance distributed computing
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Squid: Enabling search in DHT-based systems
Journal of Parallel and Distributed Computing
Exploring application and infrastructure adaptation on hybrid grid-cloud infrastructure
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Cloud federation in a layered service model
Journal of Computer and System Sciences
Integrating acceleration devices using CometCloud
Proceedings of the first ACM workshop on Optimization techniques for resources management in clouds
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In todays turbulent market conditions, the ability to generate accurate and timely risk measures has become critical to operating successfully, and necessary for survival. Value-at-Risk (VaR) is a market standard risk measure used by senior management and regulators to quantify the risk level of a firm's holdings. However, the time-critical nature and dynamic computational workloads of VaR applications, make it essential for computing infrastructures to handle bursts in computing and storage resources needs. This requires on-demand scalability, dynamic provisioning, and the integration of distributed resources. While emerging utility computing services and clouds have the potential for cost-effectively supporting such spikes in resource requirements, integrating clouds with computing platforms and data centers, as well as developing and managing applications to utilize the platform remains a challenge. In this paper, we focus on the dynamic resource requirements of online risk analytics applications and how they can be addressed by cloud environments. Specifically, we demonstrate how the CometCloud autonomic computing engine can support online multi-resolution VaR analytics using and integration of private and Internet cloud resources.