Whare-map: Heterogeneity in "homogeneous" warehouse-scale computers

Proceedings - International Symposium on Computer Architecture

Volumn , Issue , 2013, Pages 619-630

  Mars, Jason ^a   Tang, Lingjia ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTING PLATFORM; CONTINUOUS PROFILING; MICRO ARCHITECTURES; PERFORMANCE IMPACT; PERFORMANCE IMPROVEMENTS; PRODUCTION ENVIRONMENTS; PRODUCTION WORKLOADS;

COMPUTER ARCHITECTURE; WAREHOUSES;

WEB SERVICES;

EID: 84881185507     PISSN: 10636897     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2485922.2485975     Document Type: Conference Paper

References (36)

1. D. Abts, M. Marty, P. Wells, P. Klausler, and H. Liu. Energy proportional datacenter networks. ISCA '10, Jun 2010.
2. F. Ahmad, S. T. Chakradhar, A. Raghunathan, and T. N. Vijaykumar. Tarazu: optimizing mapreduce on heterogeneous clusters. ASPLOS '12, pages 61-74, New York, NY, USA, 2012. ACM.
3. F. Ahmad and T. Vijaykumar. Joint optimization of idle and cooling power in data centers while maintaining response time. ASPLOS '10, Mar 2010.
4. I. Al-Azzoni and D. Down. Dynamic scheduling for heterogeneous desktop grids. GRID '08, Sep 2008.
5. G. Banga, P. Druschel, and J. C. Mogul. Resource containers: a new facility for resource management in server systems. In OSDI '99, Berkeley, CA, USA, 1999. USENIX Association.
6. L. A. Barroso, J. Dean, and U. Holzle. Web search for a planet: The google cluster architecture. IEEE Micro, 23(2):22-28, 2003.
7. L. A. Barroso and U. Holzle. The datacenter as a computer: An introduction to the design of warehouse-scale machines. Synthesis Lectures on Computer Architecture, pages 1-120, Sep 2009.
8. L. A. Barroso and P. Ranganathan. Guest editors' introduction: Datacenter-scale computing. IEEE Micro, 30:6-7, 2010.
9. J. Burge, P. Ranganathan, and J. Wiener. Cost-aware scheduling for heterogeneous enterprise machines (cash'em). CLUSTER '07, Sep 2007.
10. S. Bykov, A. Geller, G. Kliot, J. Larus, R. Pandya, and J. Thelin. Orleans: A framework for cloud computing. Technical Report MSR-TR-2010-159, Microsoft Research, November 2010.
11. F. Chang, J. Dean, S. Ghemawat, W. Hsieh, D. Wallach, M. Burrows, T. Chandra, A. Fikes, and R. Gruber. Bigtable: a distributed storage system for structured data. OSDI '06, Nov 2006.
12. B.-G. Chun, G. Iannaccone, G. Iannaccone, R. Katz, G. Lee, and L. Niccolini. An energy case for hybrid datacenters. SIGOPS Oper. Syst. Rev., 44(1):76-80, Mar. 2010.
13. C. Delimitrou and C. Kozyrakis. Paragon: QoS-Aware Scheduling for Heterogeneous Datacenters. In Proceedings of the Eighteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2013.
14. EPA. Epa report to congress on server and data center energy efficiency. Technical report, U.S. Protection Agency, 2007.
15. J. Hamilton. Internet-scale service infrastructure efficiency. SIGARCH Comput. Archit. News, 37(3):232-232, 2009.
16. T. Heath, B. Diniz, E. V. Carrera, W. Meira, Jr., and R. Bianchini. Energy conservation in heterogeneous server clusters. In Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming, PPoPP '05, pages 186-195, New York, NY, USA, 2005. ACM.
17. R. Huang, H. Casanova, and A. Chien. Automatic resource specification generation for resource selection. SC '07, Nov 2007.
18. K. Lim, P. Ranganathan, J. Chang, C. Patel, T. Mudge, and S. Reinhardt. Understanding and designing new server architectures for emerging warehouse-computing environments. In Proceedings of the 35th Annual International Symposium on Computer Architecture, ISCA '08, pages 315-326, Washington, DC, USA, 2008. IEEE Computer Society.
19. J. Mars, L. Tang, and R. Hundt. Heterogeneity in "homogeneous," warehouse-scale computers: A performance opportunity. IEEE Computer Architecture Letters, 2011.
20. J. Mars, L. Tang, R. Hundt, K. Skadron, and M. L. Soffa. Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations. In MICRO '11: Proceedings of The 44th Annual IEEE/ACM International Symposium on Microarchitecture, New York, NY, USA, 2011. ACM.
21. A. K. Mishra, J. L. Hellerstein, W. Cirne, and C. R. Das. Towards characterizing cloud backend workloads: insights from google compute clusters. SIGMETRICS Perform. Eval. Rev., 37:34-41, March 2010.
22. R. Nathuji, C. Isci, and E. Gorbatov. Exploiting platform heterogeneity for power efficient data centers. ICAC '07: Proceedings of the Fourth International Conference on Autonomic Computing, Jun 2007.
23. R. Nathuji, A. Kansal, and A. Ghaffarkhah. Q-clouds: managing performance interference effects for qos-aware clouds. EuroSys '10, Apr 2010.
24. S. Pelley, D. Meisner, P. Zandevakili, T. Wenisch, and J. Underwood. Power routing: dynamic power provisioning in the data center. ASPLOS '10, Mar 2010.
25. V. Reddi, B. Lee, T. Chilimbi, and K. Vaid. Web search using mobile cores: quantifying and mitigating the price of efficiency. ISCA '10, Jun 2010.
26. C. R. Reeves, editor. Modern heuristic techniques for combinatorial problems. John Wiley & Sons, Inc., New York, NY, USA, 1993.
27. G. Ren, T. Moseley, E. Tune, S. Rus, and R. Hundt. Google-wide profiling: A continuous profiling infrastructure for datacenters. IEEE Micro, 2010.
28. S. M. Sait and H. Youssef. Iterative Computer Algorithms with Applications in Engineering: Solving Combinatorial Optimization Problems. IEEE Computer Society Press, Los Alamitos, CA, USA, 1999.
29. L. Tang, J. Mars, and M. L. Soffa. Compiling for niceness: Mitigating contention for qos in warehouse scale computers. In CGO '12: Proceedings of the 2012 International Symposium on Code Generation and Optimization, New York, NY, USA, 2012. ACM.
30. L. Tang, J. Mars, N. Vachharajani, R. Hundt, and M. L. Soffa. The impact of memory subsystem resource sharing on datacenter applications. In Proceeding of the 38th annual international symposium on Computer architecture, ISCA '11, pages 283-294, New York, NY, USA, 2011. ACM.
31. L. Tang, J. Mars, W. Wang, T. Dey, and M. L. Soffa. Reqos: Reactive static/dynamic compilation for qos in warehouse scale computers. In ASPLOS '13: Proceedings of the 18th International Conference on Architectural Support for Programming Languages and Operating Systems. ACM, 2013.
32. J. A. Winter and D. H. Albonesi. Scheduling algorithms for unpredictably heterogeneous cmp architectures. DSN 2008, pages 42-51, 2008.
33. D. Woo and H.-H. Lee. Prophet: goal-oriented provisioning for highly tunable multicore processors in cloud computing. SIGOPS Operating Systems Review, 43(2), Apr 2009.
34. H. Yang, A. Breslow, J. Mars, and L. Tang. Bubble-pipo: Precise online qos management for increased utilization in warehouse scale computers. In ISCA '13: Proceedings of the 40th annual International Symposium on Computer Architecture. IEEE/ACM, 2013.
35. S. Yeo and H.-H. Lee. Using mathematical modeling in provisioning a heterogeneous cloud computing environment. Computer, 44(8):55-62, aug. 2011.
36. M. Zaharia, A. Konwinski, A. Joseph, R. Katz, and I. Stoica. Improving mapreduce performance in heterogeneous environments. OSDI'08, Dec 2008.