AASH: An asymmetry-aware scheduler for hypervisors

ACM SIGPLAN Notices

Volumn 45, Issue 7, 2010, Pages 85-96

  Kazempour, Vahid ^a   Kamali, Ali ^a   Fedorova, Alexandra ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Asymmetric; Heterogeneous; Hypervisor; Multicore processors; Scheduling algorithms; Virtual machine monitor

Indexed keywords

ASYMMETRIC; HETEROGENEOUS; HYPERVISOR; MULTI-CORE PROCESSOR; VIRTUAL MACHINE MONITORS;

COMPUTER ARCHITECTURE; SCHEDULING ALGORITHMS; VIRTUAL REALITY;

OPEN SYSTEMS;

EID: 79959870703     PISSN: 15232867     EISSN: None     Source Type: Journal    
DOI: 10.1145/1837854.1736011     Document Type: Conference Paper

References (21)

1. M. Annavaram, E. Grochowski, and J. Shen. Mitigating Amdahl's Law through EPI Throttling. In Proc. of ISCA'05, pages 298-309, 2005. (Pubitemid 41543449)
2. S. Balakrishnan, R. Rajwar, M. Upton, and K. Lai. The Impact of Performance Asymmetry in Emerging Multicore Architectures. SIGARCH CAN, 33(2):506-517, 2005. (Pubitemid 41543466)
3. M. Becchi and P. Crowley. Dynamic Thread Assignment on Heterogeneous Multiprocessor Architectures. In Proc. of Computing Frontiers '06, pages 29-40, 2006.
4. C. Bienia, S. Kumar, J. P. Singh, and K. Li. The PARSEC Benchmark Suite: Characterization and Architectural Implications. In Proc. of PACT'08, October 2008.
5. L. Cherkasova, D. Gupta, and A. Vahdat. Comparison of the three CPU Schedulers in Xen. SIGMETRICS Perform. Eval. Rev., 35(2):42-51, 2007.
6. C. Evangelinos and C. N. Hill. Cloud Computing for Parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere-Ocean Climate Models on Amazon's EC2. In Proc. Cloud Computing and Its Applications, 2008.
7. M. D. Hill and M. R. Marty. Amdahl's Law in the Multicore Era. IEEE Computer, 41(7):33-38, 2008.
8. V. Kazempour, A. Fedorova, and P. Alagheband. Performance Implications of Cache Affinity on Multicore Processors. In Proc. of Euro-Par '08, pages 151-161, 2008.
9. J. Koomey. Estimating Total Power Consumption by Servers in the US and the World. Technical report, Lawrence Berkeley National Laboratory, February 2007.
10. D. Koufaty, D. Reddy, and S. Hahn. Bias Scheduling in Heterogeneous Multicore Architectures. In Proceedings of the 5th ACM European Conference on Computer Systems (EuroSys 2010), 2010.
11. R. Kumar, K. I. Farkas, and N. Jouppi et al. Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction. In Proc. of MICRO 36, 2003.
12. R. Kumar, D. M. Tullsen, and P. Ranganathan et al. Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance. In Proc. of ISCA '04.
13. T. Li, D. Baumberger, and D. A. Koufaty et al. Efficient Operating System Scheduling for Performance-Asymmetric Multi-Core Architectures. In Proc. of SC '07, pages 1-11.
14. T. Y. Morad, U. C. Weiser, A. Kolodny, M. Valero, and E. Ayguade. Performance, Power Efficiency and Scalability of Asymmetric Cluster Chip Multiprocessors. IEEE Comput. Archit. Lett., 5(1):4, 2006.
15. D. S. Nikolopoulos, G. Back, J. Tripathi, and M. Curtis-Maury. VTASOS: Holistic System Software Customization for Many Cores. pages 1-5, April 2008.
16. J. Saez, A. Fedorova, M. Prieto, and H. Vegas. Operating System Support for Mitigating Software Scalability Bottlenecks on Asymmetric Multicore Processors. In Proceedings of the ACM International Conference on Computing Frontiers (CF), 2010.
17. J. Saez, M. Prieto, A. Fedorova, and S. Blagodurov. A Comprehensive Scheduler for Asymmetric Multicore Processors. In Proceedings of the 5th ACM European Conference on Computer Systems (EuroSys) 2010, 2010.
18. A. Shah and N. Krishnan. Optimization of Global Data Center Thermal Management Workload for Minimal Environmental and Economic Burden. Components and Packaging Technologies, IEEE Transactions on, 31(1):39-45, March 2008. (Pubitemid 351447596)
19. D. Shelepov, J. C. Saez, S. Jeffery, A. Fedorova, Z. P. Huang, N. Perez, V. Kumar, and S. Blagodurov. HASS: A Scheduler for Heterogeneous Multicore Systems. ACM Operating System Review, 43(2), 2009.
20. T. Sterling and D. Stark. A High-Performance Computing Forecast: Partly Cloudy. Computing in Science and Engineering, 11(4):42-49, 2009.
21. Y. Xie and G. Loh. Dynamic Classification of Program Memory Behaviors in CMPs. In Proc. of CMP-MSI, 2008.