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It has been widely known that various benefits can be achieved by reducing energy consumption for high end computing. This paper aims to develop power aware scheduling heuristics for parallel tasks in a cluster with the DVFS technique. In this paper, formal models are presented for precedence-constrained parallel tasks, DVFS enabled clusters, and energy consumption. This paper studies the slack time...
FutureGrid provides novel computing capabilities that enable reproducible experiments while simultaneously supporting dynamic provisioning. This paper describes the FutureGrid experiment management framework to create and execute large scale scientific experiments for researchers around the globe. The experiments executed are performed by the various users of FutureGrid ranging from administrators...
Data centers now play an important role in modern IT infrastructures. Related research has shown that the energy consumption for data center cooling systems has recently increased significantly. There is also strong evidence to show that high temperatures with in a data center will lead to higher hardware failure rates and thus an increase in maintenance costs. This paper devotes itself in the field...
High density blade servers are a popular technology for data centers, however, the heat dissipation density of data centers increases exponentially. There is strong evidence to support that high temperatures of such data centers will lead to higher hardware failure rates and thus an increase in maintenance costs. Improperly designed or operated data centers may either suffer from overheated servers...
As demand for grid and cloud computing solutions increases, the need for user oriented software to provide access to theses resources also increases. Until recently the use of computing resources was limited to those with exceptional knowledge of the system design and configuration. With the advent of grid middleware projects this started to change allowing for new users not familiar with the complex...
With falling costs and successful demonstrations of performance, FPGAs have become a prime candidate for use in high performance computing. However, the use of FPGA technology in clustered environments has largely been limited to commercial and/or proprietary designs that require developers to learn new programming models and software tools. In this paper, a framework is presented which enables development...
With the advent of Cloud computing, large-scale virtualized compute and data centers are becoming common in the computing industry. These distributed systems leverage commodity server hardware in mass quantity, similar in theory to many of the fastest Supercomputers in existence today. However these systems can consume a cities worth of power just to run idle, and require equally massive cooling systems...
Like many modern techniques for scientific analysis, flow cytometry produces massive amounts of data that must be analyzed and clustered intelligently to be useful. Current manual binning techniques are cumbersome and limited in both the quality and quantity of analysis produced. To address the quality of results, a new framework applying two different sets of clustering algorithms and inference methods...
In recent years the power of Grid computing has grown exponentially through the development of advanced middleware systems. While usage has increased, the penetration of Grid computing in the scientific community has been less than expected by some. This is due to a steep learning curve and high entry barrier that limit the use of Grid computing and advanced cyberinfrastructure. In order for the scientists...
Virtual machines offer various advantages such as easy configuration, management, development and deployment of computing resources for cyberinfrastructures. Recent advances of employing virtual machines for Grid computing can help Grid communities to solve research issues, for example, qualities of service (QoS) provision and computing environment customization. The heterogeneous virtualization implementations,...
In this paper, we describe a service oriented architecture and Grid abstraction framework that allows us to access Grids through JavaScript. Obviously, such a framework integrates well with other Web 2.0 technologies. The framework consists of two parts. A client Application Programming Interface (API) to access the Grid via JavaScript and a mediator service and API through which the Grid access is...
The design, execution, and monitoring of challenging scientific applications is often a complex affair. To cope with the issue, several tools and frameworks have been designed and put into use. However, the entry barrier to using these tools productively is high, and may hinder the progress of many scientists or non-experts that develop workflows infrequently. As part of the Cyberaide framework, a...
We present Swift, a system that combines a novel scripting language called SwiftScript with a powerful runtime system based on CoG Karajan, Falkon, and Globus to allow for the concise specification, and reliable and efficient execution, of large loosely coupled computations. Swift adopts and adapts ideas first explored in the GriPhyN virtual data system, improving on that system in many regards. We...
Grid technology has matured considerably over the past few years. Progress in both implementation and standardization is reaching a level of robustness that enables production quality deployments of grid services in the academic research community with heightened interest and early adoption in the industrial community. Despite this progress, grid applications are far from ubiquitous, and new applications...
As part of the Java CoG kit we have defined a sophisticated workflow framework. This workflow framework projects an integrated approach towards executing tasks in grid and non-grid environments. One of the services needed is a convenient service to store, retrieve, and modify workflow components defined by the community similar to systems such as the comprehensive perl archive network. The availability...
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