Adaptive and virtual reconfigurations for effective dynamic job scheduling in cluster systems

Proceedings - International Conference on Distributed Computing Systems

Volumn , Issue , 2002, Pages 35-42

  Chen, Songqing ^a   Xiao, Li ^a   Zhang, Xiaodong ^a  

^a Dept of Economics and Thomas Jefferson Program in Public Policy at the College of William and Mary   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER WORKSTATIONS; QUEUEING NETWORKS; SCHEDULING; VIRTUAL REALITY;

DYNAMIC LOAD SHARING SYSTEMS; VIRTUAL RECONFIGURATIONS;

STORAGE ALLOCATION (COMPUTER);

EID: 0036367740     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Memory ushering in a scalable computing cluster
2. Gang scheduling with memory considerations
3. Dynamic load sharing with unknown memory demands in clusters
4. Job characteristics of a production parallel scientific workload on the NASA Ames iPSC/860
5. Exploiting process lifetime distributions for dynamic load balancing
6. TPF: A system thrashing protection facility in Linux
7. Shared state consistency for time-sensitive distributed applications
8. A proof of the optimality of the shortest processing remaining time discipline
9. The impact of job memory requirements on gang-scheduling performance
10. Analysis of job arrival patterns and parallel scheduling performance
11. A hierarchical load-balancing framework for dynamic multithreaded computations
12. Incorporating job migration and network RAM to share cluster memory resources
13. Improving distributed workload performance by sharing both CPU and memory resources
14. Utopia: A load-sharing facility for large heterogeneous distributed computing systems