Resource Brokers on the grid consult a number of distributed information services to select the best data source and/or computational resource based on user requirements. The consultation task increases the design com...
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ISBN:
(纸本)0769523153
Resource Brokers on the grid consult a number of distributed information services to select the best data source and/or computational resource based on user requirements. The consultation task increases the design complexity of Resource Brokers. This work is the first attempt to unify the distributedgrid information services in one framework. The grid Query Service (GQS) is composed of information services layered on OGSA-DAI grid services, which are generic data access and integration services. grid Resource Brokers can consult just one service, the GQS service, to obtain indexed information about grid resources.
Using simulation environments to support mobile distributed application development has many benefits. Since mobile devices can be modeled as autonomous intelligent agents, the multi agent based simulation (MABS) appr...
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ISBN:
(纸本)9780769527772
Using simulation environments to support mobile distributed application development has many benefits. Since mobile devices can be modeled as autonomous intelligent agents, the multi agent based simulation (MABS) approach is useful for such applications. In this paper, we propose a MABS platform on the computational grid for mobile distributedcomputing. A prototype of the proposed platform is implemented and its performance characteristics are studied The findings of the experiment show that a grid based MABS platform can provide a scalable simulation environment for mobile distributed applications.
This paper presents Unagrid/UnaCloud: an opportunistic grid and cloud computing infrastructure solution, which provides fundamental and customized computing resources on demand and at lower cost, to support academic a...
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ISBN:
(纸本)9781905088423
This paper presents Unagrid/UnaCloud: an opportunistic grid and cloud computing infrastructure solution, which provides fundamental and customized computing resources on demand and at lower cost, to support academic and e-Science projects. The proposed solution is provided through the opportunistic use of idle computing resources available in a university campus. This paper describes the architectures defined, implementations, use cases and tests executed. The results generated evidence high efficiency in result generation, supporting projects that require the agile provision of large computational capabilities, including scientific and academic initiatives.
The security of grid sites can be enhanced by upgrading its intrusion defense capabilities against its previous job success rate on grid platforms. A new fuzzy-logic trust model is proposed for distributed security en...
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ISBN:
(纸本)1880843528
The security of grid sites can be enhanced by upgrading its intrusion defense capabilities against its previous job success rate on grid platforms. A new fuzzy-logic trust model is proposed for distributed security enforcement across multiple grid resources sites. The design is aimed at securing grid resources with optimized resources subject to budget constraints. The performance of trusted gridcomputing is verified by simulated trust integration over multiple grid resource sites. The SARAH scheme scales well with increasing number of divisible user jobs and can sustain high efficiency, as more resource sites are added. Integrated trust and resource optimization make it possible to accommodate all user applications with low job drops and short waiting time. As a result, the grid resources are better utilized for distributed execution of large number of user jobs.
In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS computing Model was designed around the conc...
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In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS computing Model was designed around the concept of gridcomputing, realized in the Worldwide LHC computinggrid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high and steadily improving;grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters provides user support and communicates user problems to the sites. Both the user support techniques and the direct feedback of users have been effective in improving the success rate and user experience when utilizing the distributedcomputing environment. In this contribution a description of the main components, activities and achievements of ATLAS distributed analysis is given. Several future improvements being undertaken will be described.
grids provide infrastructures and solutions to solve large scale cooperative problems such as large scale distributed virtual environment simulation, multi-institutional scientific computing and data analysis, etc. In...
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ISBN:
(纸本)9781424416509
grids provide infrastructures and solutions to solve large scale cooperative problems such as large scale distributed virtual environment simulation, multi-institutional scientific computing and data analysis, etc. In this paper, the key techniques for gridcomputing based large scale distributed Cooperative Virtual Environment Simulation (GDCVES) are discussed and a hierarchical architecture of GDCVES is proposed. The solutions of GDCVES, such as resource management, massive data management, security aware task scheduling, and fault-tolerance are also discussed. To evaluate the feasibility and scalability of GDCVES, a prototype was implemented and the simulation workflow framework is also analyzed.
Parallel and distributed operation of pulsed power network with potential gradient method is confirmed with moderately large scale simulation model. The pulsed power network is already proposed for seamless integratio...
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ISBN:
(纸本)9781728116648
Parallel and distributed operation of pulsed power network with potential gradient method is confirmed with moderately large scale simulation model. The pulsed power network is already proposed for seamless integration of distributed generations. PG method brings the scalability on the network. To confirm the scalability of this power grid and autonomous clustering around the generations, computer simulations are executed.
Rapid advancement of communication technology has changed the landscape of computing. New models of computing, such as business-on-demand, Web services, peer-to-peer networks, and gridcomputing have emerged to harnes...
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ISBN:
(纸本)9780769528717
Rapid advancement of communication technology has changed the landscape of computing. New models of computing, such as business-on-demand, Web services, peer-to-peer networks, and gridcomputing have emerged to harness distributedcomputing and network resources to provide powerful services. The non-deterministic characteristic of the resource availability in these new computing platforms raises an outstanding challenge: how to support Quality of Service (QoS) to meet a user's demand? In this study, we conduct a thorough study of QoS of distributedcomputing, especially on gridcomputing where the requirement of distributed sharing and coordination goes to the extreme. We start at QoS policies, and then focus on technical issues of the enforcement of the policies and performance optimization under each policy. This study provides a classification of existing software system based on their underlying policies, a systematic understanding of QoS, and a framework for QoS of gridcomputing.
distributed storage systems have been receiving increasing attention lately due to the developments in cloud and gridcomputing. Furthermore, a major part of the stored information comprises of multimedia, whose conte...
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ISBN:
(纸本)9781467331227
distributed storage systems have been receiving increasing attention lately due to the developments in cloud and gridcomputing. Furthermore, a major part of the stored information comprises of multimedia, whose content can be communicated even with a lossy reconstruction. In this context, Multiple Description Quantizers (MDQ) can be employed to encode such sources for distributed storage. However, a question which naturally arises is how to repair lost descriptions which are due to node failures. In this paper, we employ MDQs based on translated lattices and a common decoding method through averaging over the available descriptions. The descriptions of failed nodes are repaired by quantizing the estimate of common decoding and then by reusing the same side codebook. Based on simulations, we study the effect of system size and number of failures on the distortion of the reconstructed source. As expected, the distortion deteriorates with the number of failures but the degradation is graceful especially for large systems.
By the time of CCP 2008, the largest scientific machine in the world - the Large Hadron Collider - had been cooled down as scheduled to its operational temperature of below 2 degrees Kelvin and injection tests were st...
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By the time of CCP 2008, the largest scientific machine in the world - the Large Hadron Collider - had been cooled down as scheduled to its operational temperature of below 2 degrees Kelvin and injection tests were starting. Collisions of proton beams at 5 + 5 TeV were expected within one to two months of the initial tests, with data taking at design energy (7 + 7 TeV) foreseen for 2009. In order to process the data from this world machine, we have put our "Higgs in one basket" - that of gridcomputing [The Worldwide LHC computinggrid (WLCG), in: Proceedings of the conference on Computational Physics 2006 (CCP 2006), vol. 177, 2007, pp. 219-223]. After many years of preparation, 2008 saw a final "Common computing Readiness Challenge" (CCRC'08) - aimed at demonstrating full readiness for 2008 data taking, processing and analysis. By definition, this relied on a world-wide production grid infrastructure. But change - as always - is on the horizon. The current funding model for grids - which in Europe has been through 3 generations of EGEE projects, together with related projects in other parts of the world, including South America - is evolving towards a long-term, sustainable e-infrastructure, like the European grid Initiative (EGI) [The European grid Initiative Design Study, website at http://***/]. At the same time, potentially new paradigms, such as that of "Cloud computing" are emerging. This paper summarizes the results of CCRC'08 and discusses the potential impact of future grid funding on both regional and international application communities. It contrasts grid and Cloud computing models from both technical and sociological points of view. Finally, it discusses the requirements from production application communities, in terms of stability and continuity in the medium to long term. (C) 2009 Elsevier B.V. All rights reserved.
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