17,325 research outputs found
A Taxonomy of Workflow Management Systems for Grid Computing
With the advent of Grid and application technologies, scientists and
engineers are building more and more complex applications to manage and process
large data sets, and execute scientific experiments on distributed resources.
Such application scenarios require means for composing and executing complex
workflows. Therefore, many efforts have been made towards the development of
workflow management systems for Grid computing. In this paper, we propose a
taxonomy that characterizes and classifies various approaches for building and
executing workflows on Grids. We also survey several representative Grid
workflow systems developed by various projects world-wide to demonstrate the
comprehensiveness of the taxonomy. The taxonomy not only highlights the design
and engineering similarities and differences of state-of-the-art in Grid
workflow systems, but also identifies the areas that need further research.Comment: 29 pages, 15 figure
Performance Reproduction and Prediction of Selected Dynamic Loop Scheduling Experiments
Scientific applications are complex, large, and often exhibit irregular and
stochastic behavior. The use of efficient loop scheduling techniques in
computationally-intensive applications is crucial for improving their
performance on high-performance computing (HPC) platforms. A number of dynamic
loop scheduling (DLS) techniques have been proposed between the late 1980s and
early 2000s, and efficiently used in scientific applications. In most cases,
the computing systems on which they have been tested and validated are no
longer available. This work is concerned with the minimization of the sources
of uncertainty in the implementation of DLS techniques to avoid unnecessary
influences on the performance of scientific applications. Therefore, it is
important to ensure that the DLS techniques employed in scientific applications
today adhere to their original design goals and specifications. The goal of
this work is to attain and increase the trust in the implementation of DLS
techniques in present studies. To achieve this goal, the performance of a
selection of scheduling experiments from the 1992 original work that introduced
factoring is reproduced and predicted via both, simulative and native
experimentation. The experiments show that the simulation reproduces the
performance achieved on the past computing platform and accurately predicts the
performance achieved on the present computing platform. The performance
reproduction and prediction confirm that the present implementation of the DLS
techniques considered both, in simulation and natively, adheres to their
original description. The results confirm the hypothesis that reproducing
experiments of identical scheduling scenarios on past and modern hardware leads
to an entirely different behavior from expected
SLA-Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture, and Solutions
Cloud computing systems promise to offer subscription-oriented,
enterprise-quality computing services to users worldwide. With the increased
demand for delivering services to a large number of users, they need to offer
differentiated services to users and meet their quality expectations. Existing
resource management systems in data centers are yet to support Service Level
Agreement (SLA)-oriented resource allocation, and thus need to be enhanced to
realize cloud computing and utility computing. In addition, no work has been
done to collectively incorporate customer-driven service management,
computational risk management, and autonomic resource management into a
market-based resource management system to target the rapidly changing
enterprise requirements of Cloud computing. This paper presents vision,
challenges, and architectural elements of SLA-oriented resource management. The
proposed architecture supports integration of marketbased provisioning policies
and virtualisation technologies for flexible allocation of resources to
applications. The performance results obtained from our working prototype
system shows the feasibility and effectiveness of SLA-based resource
provisioning in Clouds.Comment: 10 pages, 7 figures, Conference Keynote Paper: 2011 IEEE
International Conference on Cloud and Service Computing (CSC 2011, IEEE
Press, USA), Hong Kong, China, December 12-14, 201
A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems
Recent technological advances have greatly improved the performance and
features of embedded systems. With the number of just mobile devices now
reaching nearly equal to the population of earth, embedded systems have truly
become ubiquitous. These trends, however, have also made the task of managing
their power consumption extremely challenging. In recent years, several
techniques have been proposed to address this issue. In this paper, we survey
the techniques for managing power consumption of embedded systems. We discuss
the need of power management and provide a classification of the techniques on
several important parameters to highlight their similarities and differences.
This paper is intended to help the researchers and application-developers in
gaining insights into the working of power management techniques and designing
even more efficient high-performance embedded systems of tomorrow
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