Analysis and simulation of a fair queueing algorithm
SIGCOMM '89 Symposium proceedings on Communications architectures & protocols
IEEE/ACM Transactions on Networking (TON)
Journal of Parallel and Distributed Computing
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Scheduling with Advanced Reservations
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
CPU Service Classes: A Soft Real Time Framework for Multimedia Applications
CPU Service Classes: A Soft Real Time Framework for Multimedia Applications
QoS guided min-min heuristic for grid task scheduling
Journal of Computer Science and Technology - Grid computing
Dynamic Scheduling of Parallel Jobs with QoS Demands in Multiclusters and Grids
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Heuristic scheduling for bag-of-tasks applications in combination with QoS in the computational grid
Future Generation Computer Systems - Special issue: Advanced grid technologies
On advance reservation of heterogeneous network paths
Future Generation Computer Systems - Special issue: High-speed networks and services for data-intensive grids: The DataTAG project
IEEE/ACM Transactions on Networking (TON)
Software—Practice & Experience
ICPP '06 Proceedings of the 2006 International Conference on Parallel Processing
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Profiling Computation Jobs in Grid Systems
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Fair Game-Theoretic Resource Management in Dedicated Grids
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Elastic reservations for efficient bandwidth utilization in LambdaGrids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Fair Scheduling Algorithms in Grids
IEEE Transactions on Parallel and Distributed Systems
An innovative workflow mapping mechanism for Grids in the frame of Quality of Service
Future Generation Computer Systems
Multi-cost job routing and scheduling in Grid networks
Future Generation Computer Systems
Phosphorus grid-enabled GMPLS control plane (GMPLS): architectures, services, and interfaces
IEEE Communications Magazine
Efficient data consolidation in grid networks and performance analysis
Future Generation Computer Systems
A grid broker pricing mechanism for temporal and budget guarantees
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
The ISQoS grid broker for temporal and budget guarantees
GECON'12 Proceedings of the 9th international conference on Economics of Grids, Clouds, Systems, and Services
An Adaptable Job Submission System Based on Moderate Price-Adjusting Policy in Market-Based Grids
Wireless Personal Communications: An International Journal
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We present and theoretically and experimentally analyze a Quality of Service (QoS) framework for Grids that provides (i) deterministic delay bounds to Guaranteed Service (GS) users and (ii) fair sharing of resources to Best Effort (BE) users. The framework adopts concepts from Data Networks and applies them in the Grid environment. We initially describe the proposed framework assuming that task computational workloads are known (or can be estimated), and then provide extensions for the more realistic case where we have no a-priori knowledge of the task workloads. Task migration across multiple resources is also examined in this context. We also look at a specific implementation of the proposed QoS scheme, where we distinguish computational resources, based on the type of users (GS or BE) they serve and the priority they give to each type. We validate experimentally the proposed QoS framework for Grids, verifying that it satisfies the delay guarantees promised to GS users and provides fairness among BE users, while simultaneously improving performance in terms of deadlines missed and resource utilization. In our simulations, data from a real Grid Network are used.