The JSIM web-based simulation environment
Future Generation Computer Systems
GridG: generating realistic computational grids
ACM SIGMETRICS Performance Evaluation Review
Scheduling Distributed Applications: the SimGrid Simulation Framework
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
A Study of Deadline Scheduling for Client-Server Systems on the Computational Grid
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Evaluating Scheduling and Replica Optimisation Strategies in OptorSim
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Structured collaborative workflow design
Future Generation Computer Systems
Autonomous resource-aware scheduling of large-scale media workflows
AIMS'10 Proceedings of the Mechanisms for autonomous management of networks and services, and 4th international conference on Autonomous infrastructure, management and security
Grid design for mobile thin client computing
Future Generation Computer Systems
Design of a service oriented architecture for efficient resource allocation in media environments
Future Generation Computer Systems
Convergence agent model for developing u-healthcare systems
Future Generation Computer Systems
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In this paper, we discuss a use case for employing Grid technology in a media production/distribution environment. This type of environment is faced with the challenges of storing, retrieving and processing massive amounts of digital multimedia data in a reliable and highly performing manner, preventing Grid technology from being introduced in a straightforward way. We therefore propose the use of a MediaGrid framework, providing support for content/resource sharing and advanced collaborative working. This MediaGrid framework and its components are discussed in detail, and, since the proposed MediaGrid is tailored to the needs of media production/distribution companies, we introduce these companies' profiles along with their typical user-task work flows, media application characteristics and service requirements. In order to experiment with various resource and topology setups and be able to develop and evaluate scheduling and QoS management algorithms that are tuned to the needs of these companies, we have developed MediaNSG, an advanced MediaGrid simulator which extends the ns-2 network simulator. MediaNSG's inner workings are detailed and finally, some MediaNSG proof-of-concept simulations are presented.