Using dark fiber to displace diesel generators

14th Workshop on Hot Topics in Operating Systems, HotOS 2013

Volumn , Issue , 2013, Pages

  Kansal, Aman ^a   Urgaonkar, Bhuvan ^b   Govindan, Sriram ^c  

^a MICROSOFT RESEARCH   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c MICROSOFT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

REDUNDANCY;

CLOUD PROVIDERS; DATA CENTERS; DESIGN OF SOFTWARES; DIESEL GENERATORS; DISTRIBUTED DATA; GEO REDUNDANCIES; INFRASTRUCTURE DESIGN; INTERMEDIATE LAYERS;

DIESEL ENGINES;

EID: 85027248832     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. AMAZON-AWS. Summary of the AWS service event in the US east region. http://aws.amazon.com/message/67457/.
2. APC Datacenter Equipment. http://www.apc.com/products/category. cfm?id=13&subid=50, 2012.
3. BAKER, J., BOND, C., CORBETT, J. C., FURMAN, J., KHORLIN, A., LARSON, J., LEON, J.M., LI, Y., LLOYD, A., AND YUSHPRAKH, V. Megastore: Providing scalable, highly available storage for interactive services. In Proceedings of the Conference on Innovative Data system Research (CIDR) (2011), pp. 223-234.
4. CALDER, B., WANG, J., OGUS, A., NILAKANTAN, N., SKJOLSVOLD, A., MCKELVIE, S., XU, Y., SRIVASTAV, S., WU, J., SIMITCI, H., HARIDAS, J., UDDARAJU, C., KHATRI, H., EDWARDS, A., BEDEKAR, V., MAINALI, S., ABBASI, R., AGARWAL, A., HAQ, M. F. U., HAQ, M. I. U., BHARDWAJ, D., DAYANAND, S., ADUSUMILLI, A., MCNETT, M., SANKARAN, S., MANIVANNAN, K., AND RIGAS, L. Windows azure storage: a highly available cloud storage service with strong consistency. In Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles (New York, NY, USA, 2011), SOSP'11, ACM, pp. 143-157.
5. CHEN, J., THORP, J. S., AND DOBSON, I. Cascading dynamics and mitigation assessment in power system disturbances via a hidden failure model. Int. J. Elec. Power and Ener. Sys., 27(4):318-326 (2005).
6. CORBETT, J. C., DEAN, J., EPSTEIN, M., FIKES, A., FROST, C., FURMAN, J. J., GHEMAWAT, S., GUBAREV, A., HEISER, C., HOCHSCHILD, P., HSIEH, W., KANTHAK, S., KOGAN, E., LI, H., LLOYD, A., MELNIK, S., MWAURA, D., NAGLE, D., QUINLAN, S., RAO, R., ROLIG, L., SAITO, Y., SZYMANIAK, M., TAYLOR, C., WANG, R., AND WOODFORD, D. Spanner: Google's globally-distributed database. In Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation (Berkeley, CA, USA, 2012), OSDI'12, USENIX Association, pp. 251-264.
7. DECANDIA, G., HASTORUN, D., JAMPANI, M., KAKULAPATI, G., LAKSHMAN, A., PILCHIN, A., SIVASUBRAMANIAN, S., VOSSHALL, P., AND VOGELS, W. Dynamo: amazon's highly available key-value store. In Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles (New York, NY, USA, 2007), SOSP'07, ACM, pp. 205-220.
8. GILL, P., JAIN, N., AND NAGAPPAN, N. Understanding network failures in data centers: measurement, analysis, and implications. In Proceedings of the ACM SIGCOMM 2011 conference (New York, NY, USA, 2011), SIGCOMM'11, ACM, pp. 350-361.
9. GOVINDAN, S., WANG, D., CHEN, L., SIVASUBRAMANIAM, A., AND URGAONKAR, B. Towards Realizing a Low Cost and Highly Available Datacenter Power Infrastructure. In Proceedings of the Workshop on Power Aware Computing and Systems (HotPower) (2011).
10. GREENBERG, A., HAMILTON, J., MALTZ, D. A., AND PATEL, P. The cost of a cloud: research problems in data center networks. SIGCOMM Comput. Commun. Rev. 39, 1 (Dec. 2008), 68-73.
11. HAMILTON, J. Inter-datacenter replication and georedundancy. http://perspectives.mvdirona.com/2010/05/10/ InterDatacenterReplicationGeoRedundancy. aspx, 2010.
12. IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems. ANSI/IEEE Std 493-2007 (2007).
13. KRASKA, T., PANG, G., FRANKLIN, M. J., AND MADDEN, S. Mdcc: Multi-data center consistency. CoRR abs/1203.6049 (2012).
14. LIMRUNGSI, N., ZHAO, J., XIANG, Y., LAN, T., HUANG, H. H., AND SUBRAMANIAM, S. Providing reliability as an elastic service in cloud computing. In Communications (ICC), 2012 IEEE International Conference on (june 2012), pp. 2912 -2917.
15. LLOYD, W., FREEDMAN, M. J., KAMINSKY, M., AND ANDERSEN, D. G. Don't settle for eventual: scalable causal consistency for wide-area storage with cops. In Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles (New York, NY, USA, 2011), SOSP'11, ACM, pp. 401-416.
16. MCCARTHY, K. APC White paper 75: Comparing UPS System Design Configurations, 2008.
17. NATH, S., YU, H., GIBBONS, P. B., AND SESHAN, S. Subtleties in tolerating correlated failures in wide-area storage systems. In NSDI (2006).
18. SCHROEDER, B., AND GIBSON, G. A. Understanding disk failure rates: What does an mttf of 1,000,000 hours mean to you? Trans. Storage 3, 3 (Oct. 2007).
19. SCHROEDER, B., PINHEIRO, E., AND WEBER, W.-D. Dram errors in the wild: a large-scale field study. In Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems (New York, NY, USA, 2009), SIGMETRICS'09, ACM, pp. 193-204.
20. SCHURMAN, E., AND BRUTLAG, J. Performance related changes and their user impact. In Presented at Velocity Web Performance and Operations Conference (2009).
21. TOTOK, A. TPC-W (Web Commerce) Benchmark. http://www.cs.nyu.edu/totok/professional/software/tpcw/tpcw. html, 2005.
22. VISHWANATH, K. V., AND NAGAPPAN, N. Characterizing cloud computing hardware reliability. In Proceedings of the 1st ACM symposium on Cloud computing (New York, NY, USA, 2010), SoCC'10, ACM, pp. 193-204.