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Future Generation Computer Systems (FGCS) - Volume 27, Issue 6 论文列表

本期论文列表
Editorial Board

Contents

CGLXTouch: A multi-user multi-touch approach for ultra-high-resolution collaborative workspaces

Using a private desktop grid system for accelerating drug discovery

A systematic approach to the integration of overlapping partitions in service-oriented data grids

Grid design for mobile thin client computing

Web services workflow with result data forwarding as resources

Active rule learning using decision tree for resource management in Grid computing

Mining massive datasets by an unsupervised parallel clustering on a GRID: Novel algorithms and case study

Processing moldable tasks on the grid: Late job binding with lightweight user-level overlay

Special Section: The third provenance challenge on using the open provenance model for interoperability

The Open Provenance Model core specification (v1.1)

Representing distributed systems using the Open Provenance Model

W3P: Building an OPM based provenance model for the Web

Provenance management in Swift

Storing, reasoning, and querying OPM-compliant scientific workflow provenance using relational databases

Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench

Linked provenance data: A semantic Web-based approach to interoperable workflow traces

Mapping attribution metadata to the Open Provenance Model

Workflows to open provenance graphs, round-trip

Special Section: Grid and pervasive computing (selected papers from 2010 International Conference on Grid and Pervasive Computing)

CPRS: A cloud-based program recommendation system for digital TV platforms

A new distributed and hierarchical mechanism for service discovery in a grid environment

Variable-sized map and locality-aware reduce on public-resource grids

Collaboration of reconfigurable processors in grid computing: Theory and application

Online scheduling of workflow applications in grid environments

Adaptive resource provisioning for read intensive multi-tier applications in the cloud