| 1. |
- Schwiegelshohn, Uwe, et al.
(author)
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Perspectives on grid computing
- 2010
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In: Future generations computer systems. - : Elsevier BV. - 0167-739X .- 1872-7115. ; 26:8, s. 1104-1115
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Journal article (peer-reviewed)abstract
- Grid computing has been the subject of many large national and international IT projects. However, not all goals of these projects have been achieved. In particular. the number of users lags behind the initial forecasts laid out by proponents of grid technologies. This underachievement may have led to claims that the grid concept as a whole is on its way to being replaced by Cloud computing and various X-as-a-Service approaches. In this paper, we try to analyze the current situation and to identify promising directions for future grid development. Although there are shortcomings in current grid systems, we are convinced that the concept as a whole remains valid and can benefit from new developments, including Cloud computing. Furthermore, we strongly believe that some future applications will require the grid approach and that, as a result, further research is required in order to turn this concept into reliable, efficient and user-friendly computing platforms. (c) 2010 Elsevier B.V. All rights reserved.
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| 2. |
- Tordsson, Johan, 1980-
(author)
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Portable Tools for Interoperable Grids : Modular Architectures and Software for Job and Workflow Management
- 2009
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Doctoral thesis (other academic/artistic)abstract
- The emergence of Grid computing infrastructures enables researchers to shareresources and collaborate in more efficient ways than before, despite belongingto different organizations and being geographically distributed. While the Gridcomputing paradigm offers new opportunities, it also gives rise to newdifficulties. This thesis investigates methods, architectures, and algorithmsfor a range of topics in the area of Grid resource management. One studiedtopic is how to automate and improve resource selection, despite heterogeneityin Grid hardware, software, availability, ownership, and usage policies.Algorithmical difficulties for this are, e.g., characterization of jobs andresources, prediction of resource performance, and data placementconsiderations. Investigated Quality of Service aspects of resource selectioninclude how to guarantee job start and/or completion times as well as how tosynchronize multiple resources for coordinated use through coallocation.Another explored research topic is architectural considerations for frameworksthat simplify and automate submission, monitoring, and fault handling for largeamounts of jobs. This thesis also investigates suitable Grid interactionpatterns for scientific workflows, studies programming models that enable dataparallelism for such workflows, as well as analyzes how workflow compositiontools should be designed to increase flexibility and expressiveness. We today have the somewhat paradoxical situation where Grids, originally aimed tofederate resources and overcome interoperability problems between differentcomputing platforms, themselves struggle with interoperability problems causedby the wide range of interfaces, protocols, and data formats that are used indifferent environments. This thesis demonstrates how proof-of-concept softwaretools for Grid resource management can, by using (proposed) standard formatsand protocols as well as leveraging state-of-the-art principles fromservice-oriented architectures, be made independent of current Gridinfrastructures. Further interoperability contributions include an in-depthstudy that surveys issues related to the use of Grid resources in scientificworkflows. This study improves our understanding of interoperability amongscientific workflow systems by viewing this topic from three differentperspectives: model of computation, workflow language, and executionenvironment. A final contribution in this thesis is the investigation of how the design ofGrid middleware tools can adopt principles and concepts from softwareengineering in order to improve, e.g., adaptability and interoperability.
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| 3. |
- Yahyapour, Ramin, et al.
(author)
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Introduction
- 2011
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In: Euro-par 2011 parallel processing. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642233999 - 9783642234002 ; , s. 405-406
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Book chapter (other academic/artistic)abstract
- There has been a considerable discussion in the past years on the similarities and differences between Clouds and Grid Computing. This included extreme positions whether Clouds are a pure marketing hype, or whether Grids became obsoleted by failing a wide commercial adoption as a resource sharing platform. Now, we can assess that neither is true nor necessary. Grids and clouds share many similarities as they both address questions concerning access to resources in a large-scale distributed environment. Thus, there is significant overlap between the two areas in the ways that infrastructures may evolve.
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