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Virtualized datacenters and clouds are being increasingly considered for traditional High-Performance Computing (HPC) workloads that have typically targeted Grids and conventional HPC platforms. However, maximizing energy efficiency and utilization of datacenter resources, and minimizing undesired thermal behavior while ensuring application performance and(More)
As computing technology becomes more pervasive and mobile services are deployed, applications will need flexible access control mechanisms. Unlike traditional approaches for access control, access decisions for these applications will depend on the combination of the required credentials of users and the context and state of the system. In this paper, we(More)
One of the most pressing issues with petascale analysis is the transport of simulation results data to a meaningful analysis. Traditional workflow prescribes storing the simulation results to disk and later retrieving them for analysis and visualization. However, at petascale this storage of the full results is prohibitive. A solution to this problem is to(More)
Dynamically adaptive techniques for the solution of partial differential equations that employ locally optimal approximations can yield highly advantageous ratios for cost/accuracy. Distributed implementations of these methods offer the potential for accurate solutions of physically realistic models of important physical systems. These implementations(More)
Performance of the ITER is anticipated to be highly sensitive to the edge plasma condition. The edge pedestal in ITER needs to be predicted from an integrated simulation of the necessary first-principles, multi-scale physics codes. The mission of the SciDAC Fusion Simulation Project (FSP) Prototype Center for Plasma Edge Simulation (CPES) is to deliver such(More)
Emerging high-performance distributed computing environments are enabling new end-to-end formulations in science and engineering that involve multiple interacting processes and data-intensive application workflows. For example, current fusion simulation efforts are exploring coupled models and codes that simultaneously simulate separate application(More)
The increasing demand for faster computing and high storage capacity has resulted in an increase in energy consumption and heat generation in datacenters. Because of the increase in heat generation, cooling requirements have become a critical concern, both in terms of growing operating costs as well as their environmental and societal impacts. Presently,(More)
This paper presents the design, prototype implementation and experimental evaluation of DIOS++, an infrastructure for enabling rule based auto-nomic adaptation and control of distributed scientific applications. DIOS++ provides: (1) abstractions for enhancing existing application objects with sensors and actuators for runtime interrogation and control, (2)(More)
1.1 Introduction Clouds typically have highly dynamic demands for resources with highly heterogeneous and dynamic workloads. For example, the workloads associated with the application can be quite dynamic, both in terms of the number of tasks processed as well as computation requirements of each task. Furthermore, different applications may have very(More)