Buch, Englisch, Band 4376, 264 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 417 g
12th International Workshop, JSSPP 2006, Saint-Malo, France, June 26, 2006, Revised Selected Papers
Buch, Englisch, Band 4376, 264 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 417 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-71034-9
Verlag: Springer Berlin Heidelberg
This book constitutes the thoroughly refereed post-proceedings of the 12th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2006, held in Saint-Malo, France in June 2006 in conjunction with the Joint International Conference on Measurement and Modeling of Computer Systems SIGMETRICS/Performance 2006. The 12 revised full research papers cover all current issues of job scheduling strategies for parallel processing.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Betriebssysteme Windows Betriebssysteme
- Mathematik | Informatik EDV | Informatik Technische Informatik Hochleistungsrechnen, Supercomputer
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
Weitere Infos & Material
Provably Efficient Two-Level Adaptive Scheduling.- Scheduling Dynamically Spawned Processes in MPI-2.- Advance Reservation Policies for Workflows.- On Advantages of Scheduling Using Genetic Fuzzy Systems.- Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach.- Adaptive Job Scheduling Via Predictive Job Resource Allocation.- A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing.- Volunteer Computing on Clusters.- Load Balancing: Toward the Infinite Network and Beyond.- Symbiotic Space-Sharing on SDSC’s DataStar System.- Modeling Job Arrivals in a Data-Intensive Grid.- On Grid Performance Evaluation Using Synthetic Workloads.
