Dynamic, competitive scheduling of multiple DAGs in a distributed heterogeneous environment
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- Type
- article
- Published
- 1998-03-30
- Cited by
- 100
- References
- 14
- OpenAlex
- https://openalex.org/W1693765438
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1962820
Keywords
Computer science, Distributed computing, Dynamic priority scheduling, Scheduling (production processes), Two-level scheduling
References
- A Performance Evaluation Methodology for Coupled Multiple Supercomputers
- Guest Editor's Introduction: Heterogeneous Processing
- Load Distribution Optimization in Heterogeneous Multiple Processor Systems
- Load sharing with consideration of future task arrivals in heterogeneous distributed real-time systems
- An Analytical Approach to Performance/Cost Modeling of Parallel Computers
- Scheduling Parallel Program Tasks onto Arbitrary Target Machines
- A Compile-Time Scheduling Heuristic for Interconnection-Constrained Heterogeneous Processor Architectures
- Dynamic optimization of load distribution in heterogeneous systems
- Designs and experiments on heterogeneous mapping heuristics
- Parallelizing Existing Applications in a Distributed Heterogeneous Environment
- Heterogeneous Supercomputing: Problems and Issues
- "Agency Scheduling" A Model for Dynamic Task Scheduling
- General approach to mapping of parallel computations upon multiprocessor architectures
Cited by
- Low-Power Dynamic Scheduling in Heterogeneous Systems
- Implementing Micro-Heterogeneous Computing: Abstracting Auxiliary Processors in a Multi-Process OS
- Adaptive Scheduling Using Support Vector Machine on Heterogeneous Distributed Systems
- Run-Time Adaptation with Resource Co-Allocation for Grid Environments
- A multi-valued DAG model and an optimal PERT-like Algorithm for the Distribution of Applications on Heterogeneous Computing Systems
- A Proposal for a Heterogeneous Cluster ScaLAPACK (Dense Linear Solvers)
- Level based batch scheduling strategy with idle slot reduction under DAG constraints for computational grid
- Linux kernel support for Micro-Heterogeneous Computing
- Analyse et déploiement de solutions algorithmiques et logicielles pour des applications bioinformatiques à grande échelle sur la grille. (Analysis and deployment of algorithm and software solutions forlarge scale bioinformatic applications into computing grid)
- An enhanced application model for scheduling in grid environments
- Data Allocation Strategies for Dense Linear Algebra Kernels on Heterogeneous Two-dimensional Grids
- Обзор технологий распределенных вычислений
- A unified resource scheduling framework for heterogeneous computing environments
- Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems
- HMPI: towards a message-passing library for heterogeneous networks of computers
- Dynamic multi DAG scheduling algorithm for optical grid environment
- A GA Based Real-Time Resource Scheduling Algorithm
- Distributed data mining in grid computing environments
- A hypergraph partitioning based approach for scheduling of tasks with batch-shared I/O
- Energy aware scheduling for DAG structured applications on heterogeneous and DVS enabled processors
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