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Reductions in Distributed Computing Part II: k-Threshold Agreement Tasks

Computer Science – Distributed – Parallel – and Cluster Computing
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Redundancy Management for P2P Backup

Computer Science – Distributed – Parallel – and Cluster Computing
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Regenerating codes: what matters in practice?

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Registers

Computer Science – Distributed – Parallel – and Cluster Computing
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Relating L-Resilience and Wait-Freedom via Hitting Sets

Computer Science – Distributed – Parallel – and Cluster Computing
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Relational Grid Monitoring Architecture (R-GMA)

Computer Science – Distributed – Parallel – and Cluster Computing
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Relativistic causality and clockless circuits

Computer Science – Distributed – Parallel – and Cluster Computing
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Reliability of Computational Experiments on Virtualised Hardware

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Reliable Data Storage in Distributed Hash Tables

Computer Science – Distributed – Parallel – and Cluster Computing
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Reliable multicast fault tolerant MPI in the Grid environment

Computer Science – Distributed – Parallel – and Cluster Computing
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Reliable Provisioning of Spot Instances for Compute-intensive Applications

Computer Science – Distributed – Parallel – and Cluster Computing
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Reliable Resource Selection in Grid Environment

Computer Science – Distributed – Parallel – and Cluster Computing
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Remote-control and clustering of physical computations using the XML-RPC protocol and the open-Mosix system

Computer Science – Distributed – Parallel – and Cluster Computing
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Replica Selection in the Globus Data Grid

Computer Science – Distributed – Parallel – and Cluster Computing
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Representations of task assignments in distributed systems using Young tableaux and symmetric groups

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Research Agenda in Cloud Technologies

Computer Science – Distributed – Parallel – and Cluster Computing
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Research Challenges for Enterprise Cloud Computing

Computer Science – Distributed – Parallel – and Cluster Computing
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Research Paper on Transaction-Oriented Simulation In Ad Hoc Grids

Computer Science – Distributed – Parallel – and Cluster Computing
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Reserved or On-Demand Instances? A Revenue Maximization Model for Cloud Providers

Computer Science – Distributed – Parallel – and Cluster Computing
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ReSHAPE: A Framework for Dynamic Resizing and Scheduling of Homogeneous Applications in a Parallel Environment

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