681,043 research outputs found
Distributed Computing Concepts in D0
The D0 experiment faces many challenges enabling access to large datasets for
physicists on four continents. The new concepts for distributed large scale
computing implemented in D0 aim for an optimal use of the available computing
resources while minimising the person-power needed for operation. The real live
test of these concepts is of special interest for the LHC Computing GRID, LCG,
which follows a similar strategy.Comment: 3 pages, 3 figures, LaTeX, epj style (included), Proceedings of the
International Europhysics Conference on High Energy Physics EPS 2003 (July
17-23, 2003), Aachen, German
Experimental Study of Remote Job Submission and Execution on LRM through Grid Computing Mechanisms
Remote job submission and execution is fundamental requirement of distributed
computing done using Cluster computing. However, Cluster computing limits usage
within a single organization. Grid computing environment can allow use of
resources for remote job execution that are available in other organizations.
This paper discusses concepts of batch-job execution using LRM and using Grid.
The paper discusses two ways of preparing test Grid computing environment that
we use for experimental testing of concepts. This paper presents experimental
testing of remote job submission and execution mechanisms through LRM specific
way and Grid computing ways. Moreover, the paper also discusses various
problems faced while working with Grid computing environment and discusses
their trouble-shootings. The understanding and experimental testing presented
in this paper would become very useful to researchers who are new to the field
of job management in Grid.Comment: Fourth International Conference on Advanced Computing & Communication
Technologies (ACCT), 201
In-Close, a fast algorithm for computing formal concepts
This paper presents an algorithm, called In-Close, that uses incremental closure and matrix searching to quickly compute all formal concepts in a formal context. In-Close is based, conceptually, on a well known algorithm called Close-By-One. The serial version of a recently published algorithm (Krajca, 2008) was shown to be in the order of 100 times faster than several well-known algorithms, and timings of other algorithms in reviews suggest that none of them are faster than Krajca. This paper compares In-Close to Krajca, discussing computational methods, data requirements and memory considerations. From experiments using several public data sets and random data, this paper shows that In-Close is in the order of 20 times faster than Krajca. In-Close is small, straightforward, requires no matrix pre-processing and is simple to implement.</p
Notes on Cloud computing principles
This letter provides a review of fundamental distributed systems and economic
Cloud computing principles. These principles are frequently deployed in their
respective fields, but their inter-dependencies are often neglected. Given that
Cloud Computing first and foremost is a new business model, a new model to sell
computational resources, the understanding of these concepts is facilitated by
treating them in unison. Here, we review some of the most important concepts
and how they relate to each other
Make and learn: A CS Principles course based on the Arduino platform
We present preliminary experiences in designing a Computer Science Principles undergraduate course for all majors that is based on physical computing with the Arduino microprocessor platform. The course goal is to introduce students to fundamental computing concepts in the context of developing concrete products. This physical computing approach is different from other existing CS Principles courses. Students use the Arduino platform to design tangible interactive systems that are personally and socially relevant to them, while learning computing concepts and reflecting on their experiences. In a previous publication [1], we reported on assessment results of using the Arduino platform in an Introduction to Digital Design course. We have introduced this platform in an introductory computing course at the University of Hartford in the past year as well as in a Systems Fundamentals Discovery Course at the University of New Hampshire to satisfy the general education requirements in the Environment, Technology, and Society category. Our goal is to align the current curriculum with the CS Principles framework to design a course that engages a broader audience through a creative making and contextualized learning experience
Activity-Centric Computing Systems
• Activity-Centric Computing (ACC) addresses deep-rooted information management problems in traditional application centric computing by providing a unifying computational model for human goal-oriented ‘activity,’ cutting across system boundaries. • We provide a historical review of the motivation for and development of ACC systems, and highlight the need for broadening up this research topic to also include low-level system research and development. • ACC concepts and technology relate to many facets of computing; they are relevant for researchers working on new computing models and operating systems, as well as for application designers seeking to incorporate these technologies in domain-specific applications
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