118,677 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
Resource Management Services for a Grid Analysis Environment
Selecting optimal resources for submitting jobs on a computational Grid or
accessing data from a data grid is one of the most important tasks of any Grid
middleware. Most modern Grid software today satisfies this responsibility and
gives a best-effort performance to solve this problem. Almost all decisions
regarding scheduling and data access are made by the software automatically,
giving users little or no control over the entire process. To solve this
problem, a more interactive set of services and middleware is desired that
provides users more information about Grid weather, and gives them more control
over the decision making process. This paper presents a set of services that
have been developed to provide more interactive resource management
capabilities within the Grid Analysis Environment (GAE) being developed
collaboratively by Caltech, NUST and several other institutes. These include a
steering service, a job monitoring service and an estimator service that have
been designed and written using a common Grid-enabled Web Services framework
named Clarens. The paper also presents a performance analysis of the developed
services to show that they have indeed resulted in a more interactive and
powerful system for user-centric Grid-enabled physics analysis.Comment: 8 pages, 7 figures. Workshop on Web and Grid Services for Scientific
Data Analysis at the Int Conf on Parallel Processing (ICPP05). Norway June
200
A review of key planning and scheduling in the rail industry in Europe and UK
Planning and scheduling activities within the rail industry have benefited from developments in computer-based simulation and modelling techniques over the last 25 years. Increasingly, the use of computational intelligence in such tasks is featuring more heavily in research publications. This paper examines a number of common rail-based planning and scheduling activities and how they benefit from five broad technology approaches. Summary tables of papers are provided relating to rail planning and scheduling activities and to the use of expert and decision systems in the rail industry.EPSR
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