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FAULT-TOLERANT DATA SHARING FOR HIGH- LEVEL GRID PROGRAMMING: A HIERARCHICAL STORAGE ARCHITECTURE
, 2010
"... Keywords: Enabling high-level programming models on grids is today a major challenge. A way to achieve this goal relies on the use of environments able to transparently and automatically provide adequate support for low-level, grid-specific issues (fault-tolerance, scalability, etc.). This paper dis ..."
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Keywords: Enabling high-level programming models on grids is today a major challenge. A way to achieve this goal relies on the use of environments able to transparently and automatically provide adequate support for low-level, grid-specific issues (fault-tolerance, scalability, etc.). This paper discusses the above approach when applied to grid data management. As a case study, we propose a 2-tier software architecture that supports transparent, fault-tolerant, grid-level data sharing in the ASSIST programming environment (University of Pisa), based on the JuxMem grid data sharing service (INRIA Rennes).
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"... doi:10.1098/rsta.2011.0148 Stork data scheduler: mitigating the data bottleneck in e-Science ..."
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doi:10.1098/rsta.2011.0148 Stork data scheduler: mitigating the data bottleneck in e-Science
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"... doi:10.1098/rsta.2011.0148 Stork data scheduler: mitigating the data bottleneck in e-Science ..."
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doi:10.1098/rsta.2011.0148 Stork data scheduler: mitigating the data bottleneck in e-Science
J Grid Computing DOI 10.1007/s10723-014-9292-9 Survey on Grid Resource Allocation Mechanisms
, 2013
"... Abstract Grid is a distributed high performance computing paradigm that offers various types of resources (like computing, storage, communication) to resource-intensive user tasks. These tasks are sched-uled to allocate available Grid resources efficiently to achieve high system throughput and to sa ..."
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Abstract Grid is a distributed high performance computing paradigm that offers various types of resources (like computing, storage, communication) to resource-intensive user tasks. These tasks are sched-uled to allocate available Grid resources efficiently to achieve high system throughput and to satisfy