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Real-time data backup in Geo-distributed data center networks against progressive disaster

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Abstract

In the progressive disaster scenario where multiple nodes and links are sequentially disrupted with different early warning times, real-time data backup is a critical concern to improve the survivability of a geo-distributed DCN (Geographically distributed Data Center Network). We consider this problem by assuming that different disaster-covered DCN nodes and links have different early warning times and different disaster-covered DCN nodes have distinct sets of backup nodes. Based on integer linear program (ILP), we first propose an optimal data backup scheme to maximize the total amount of data backup. This theoretically provides an upper bound on the total amount of data backup. Then, a heuristic (i.e., Amount-Based Algorithm) is developed to provide a time-efficient solution, in which an adjusting factor is introduced to deal with link bandwidth competitions among multiple disaster-covered DCN nodes. Furthermore, we give another way to increase the amount of data backup for DCN operators by adjusting the bandwidth distribution on the key link which is identified as the one that has the greatest impact on data backup. The extensive numerical results validate the proposed solutions under the progressive disaster scenario with different early warning times for different nodes and links.

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References

  1. Zhao, X., Vusirikala, V., Koley, B., Kamalov, V., Hofmeister, T.: The prospect of inter-data-center optical networks. IEEE Commun. Mag. 51(9), 32–38 (2013)

    Article  Google Scholar 

  2. Kachris, C., Kanonakis, K., Tomkos, I.: Optical interconnection networks in data centers: recent trends and future challenges. IEEE Commun. Mag. 51(9), 39–45 (2013)

    Article  Google Scholar 

  3. Morrison, K.: Rapidly recovering from the catastrophic loss of a major telecommunications office. IEEE Commun. Mag. 49(1), 28–35 (2011)

    Article  Google Scholar 

  4. “2011tohoku earthquake and tsunami,” http://en.wikipedia.org/wiki/2011_Tohoku_earthquake_and_tsunami

  5. Adachi, T.,Ishiyama, Y., Asakura, Y., and Nakamura, K.: “The restoration of telecom power damages by the Great East Japan Earthquake,” in IEEE 33rd International Telecommunications Energy Conference, 2011, pp. 1–5

  6. “Flooding, power outages from hurricane sandy lead to internet, phone service disruptions,” http://www.nypost.com/p/news/business/flooding_from_hurricane_sandy_leads_CG8gj1SSEenIcuZzj1yRbM, 2012

  7. Kwasinski, A.,“Lessons from field damage assessments about communication networks power supply and infrastructure performance during natural disasters with a focus on hurricane sandy,” in FCC Workshop Network Resiliency, 2013

  8. Nakamura, H., Horiuchi, S., Wu, C., Yamamoto, S., Rydelek, P.A.: Evaluation of the real-time earthquake information system in Japan. Geophys. Res. Lett. 36, 1 (2009)

    Article  Google Scholar 

  9. “National hurricane center,” http://www.nhc.noaa.gov/

  10. Ma, L., Su, W., Wu, B., Yang, B., Jiang, X.: Early warning disaster-aware service protection in geo-distributed data centers. Comput. Netw. 180, 107419 (2020)

    Article  Google Scholar 

  11. Neumayer, S., and Modiano, E.,: “Network reliability with geographically correlated failures,” in IEEE INFOCOM, pp. 1–9 (2010)

  12. Habib, M.F., Tornatore, M., Leenheer, M.D., Dikbiyik, F., Mukherjee, B.: Design of disaster-resilient optical datacenter networks. IEEE/OSA J Lightwave Technol 30(16), 2563–2573 (2012)

    Article  Google Scholar 

  13. Savas, S.S., Habib, M.F., Dikbiyik, F., Tornatore, M., Mukherjee, B.: Disaster-aware service provisioning with manycasting in could networks. Photonic Netw. Commun. 28(2), 123–134 (2014)

    Article  Google Scholar 

  14. Dikbiyik, F., Tornatore, M., Mukherjee, B.: Minimizing the risk from disaster failures in optical backbone networks. IEEE/OSA J. Lightwave Technol. 32(18), 3175–3183 (2014)

    Article  Google Scholar 

  15. Bao, N.H., Habib, M.F., Tornatore, M., Martel, C.U., Mukherjee, B.: Global versus essential post-disaster re-provisioning in telecom mesh networks. IEEE/OSA J. Opt. Commun. Netw. 7(5), 392–400 (2015)

    Article  Google Scholar 

  16. da Silva, C.N., Wosinska, L., Spadaro, S., Costa, J.C.W.A., Francês, C.R.L., Monti, P.: Restoration in optical cloud networks with relocation and services differentiation. IEEE/OSA J. Opt. Commun. Netw. 8(2), 100–111 (2016)

    Article  Google Scholar 

  17. Yao, J., Lu, P., Zhu, Z.: “Minimizing disaster backup window for geo-distributed multi-datacenter cloud systems,” in. IEEE International Conference on Communications (ICC) 2014, 3631–3635 (2014)

  18. Yao, J., Lu, P., Gong, L., Zhu, Z.: On fast and coordinated data backup in geo-distributed optical inter-datacenter networks. IEEE/OSA J. Lightwave Technol. 33(14), 3005–3015 (2015)

    Google Scholar 

  19. Lu, P., Zhang, L., Liu, X., Yao, J., Zhu, Z.: Highly efficient data migration and backup for big data applications in elastic optical inter-data-center networks. IEEE Netw. 29(5), 36–42 (2015)

    Article  Google Scholar 

  20. Li, X., Wang, H., Yi, S., Yao, X., Zhu, F., and Zhai, L.: Redundancy-guaranteed and receiving constrained disaster backup in cloud data center network. IEEE Access, 6, 47666–47681 (2018)

    Article  Google Scholar 

  21. Ferdousi, S., Tornatore, M., Habib, M.F., Mukherjee, B.: Rapid data evacuation for large-scale disasters in optical cloud networks. IEEE/OSA J. Opt. Commun. Netw. 7(12), B163–B172 (2015)

    Article  Google Scholar 

  22. Lu, P., Ling, Q., Zhu, Z.: Maximizing utility of time-constrained emergency backup in inter-datacenter networks. IEEE Commun. Lett. 20(5), 890–893 (2016)

    Article  Google Scholar 

  23. Ma, L., Su, W., Wu, B., Taleb, T., Jiang, X., Shiratori, N.: \(\varepsilon \) time early warning data backup in disaster-aware optical inter-connected data center networks. IEEE/OSA J. Opt. Commun. Netw. 9(6), 536–545 (2017)

    Article  Google Scholar 

  24. Ma, L., Su, W., Li, X., Wu, B., Jiang, X.: Heterogeneous data backup against early warning disasters in geo-distributed data center networks. IEEE/OSA J. Opt. Commun. Netw. 10(4), 376–385 (2018)

    Article  Google Scholar 

  25. Xie, X., Ling, Q., Lu, P., Xu, W., Zhu, Z.: Evacuate before too late: distributed backup in inter-DC networks with progressive disasters. IEEE Transactions Parallel Distrib. Syst. 29(5), 1058–1074 (2018)

    Article  Google Scholar 

  26. Ma, L., Yang, B.: “Data backup against progressive disasters in geo-distributed data center networks,” in. International Conference on Networking and Network Applications (NaNA) 2018, 223–226 (2018)

  27. “InternetMCI network,” http://www.topology-zoo.org/dataset.html, 2010

  28. “China Telecom network,” http://www.topology-zoo.org/dataset.html, 2011

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 61702068), the Key Project of Anhui University Science Research (No. KJ2020A0718) and 2018 Project of Anhui Provincial Department of Human Resources and Social Security for the Returned Overseas Chinese Scholars (No. 201815).

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Authors and Affiliations

  1. School of Computer and Information Engineering, Chuzhou University, Anhui, 239000, People’s Republic of China

    Lisheng Ma

  2. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, 100044, People’s Republic of China

    Wei Su

  3. School of Computer Science and Technology, Tianjin University, Tianjin, 300072, People’s Republic of China

    Bin Wu

  4. School of Systems Information Science, Future University Hakodate, 116-2, Kameda Nakano-Cho, Hakodate, Hokkaido, 041-8655, Japan

    Xiaohong Jiang

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  1. Lisheng Ma
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  2. Wei Su
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Correspondence to Lisheng Ma.

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Ma, L., Su, W., Wu, B. et al. Real-time data backup in Geo-distributed data center networks against progressive disaster. Photon Netw Commun 41, 211–221 (2021). https://doi.org/10.1007/s11107-021-00940-0

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