Multi-site data distribution for disaster recovery-A planning framework

被引:25
|
作者
Sengupta, Shubhashis [1 ]
Annervaz, K. M. [1 ]
机构
[1] Accenture Technol Labs, Bangalore, Karnataka, India
关键词
Disaster recovery; Planning; Data distribution; Optimization;
D O I
10.1016/j.future.2014.07.007
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we present DDP-DR: a Data Distribution Planner for Disaster Recovery. DDP-DR provides an optimal way of backing-up critical business data into data centers (DCs) across several Geographic locations. DDP-DR provides a plan for replication of backup data across potentially large number of data centers so that (i) the client data is recoverable in the event of catastrophic failure at one or more data centers (disaster recovery) and, (ii) the client data is replicated and distributed in an optimal way taking into consideration major business criteria such as cost of storage, protection level against site failures, and other business and operational parameters like recovery point objective (RPO), and recovery time objective (RTO). The planner uses Erasure Coding (EC) to divide and codify data chunks into fragments and distribute the fragments across DR sites or storage zones so that failure of one or more site! zone can be tolerated and data can be regenerated. We describe data distribution planning approaches for both single customer and multiple customer scenarios. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:53 / 64
页数:12
相关论文
共 50 条
  • [31] Fuzzy multi-objective optimization for multi-site integrated production and distribution planning in two echelon supply chain
    Gaurav Kumar Badhotiya
    Gunjan Soni
    M. L. Mittal
    The International Journal of Advanced Manufacturing Technology, 2019, 102 : 635 - 645
  • [32] Fuzzy multi-objective optimization for multi-site integrated production and distribution planning in two echelon supply chain
    Badhotiya, Gaurav Kumar
    Soni, Gunjan
    Mittal, M. L.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 102 (1-4): : 635 - 645
  • [33] A robust optimisation model for aggregate and detailed planning of a multi-site procurement-production-distribution system
    Kanyalkar, Atul P.
    Adil, Gajendra K.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (03) : 635 - 656
  • [34] A distributed generative CSP framework for multi-site product configuration
    Zanker, Markus
    Jannach, Dietmar
    Silaghi, Marius C.
    Friedrich, Gerhard
    COOPERATIVE INFORMATION AGENTS XII, PROCEEDINGS, 2008, 5180 : 131 - +
  • [35] A Monitoring Framework for Multi-Site 5G Platforms
    Perez, Ramon
    Garcia-Reinoso, Jaime
    Zabala, Aitor
    Serrano, Pablo
    Banchs, Albert
    2020 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC 2020), 2020, : 52 - 56
  • [36] Stochastic multi-site generation of daily weather data
    Khalili, Malika
    Brissette, Francois
    Leconte, Robert
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2009, 23 (06) : 837 - 849
  • [37] Clustered data storage for multi-site fusion experiments
    National Institute for Fusion Science, 322-6 Oroshi-cho, Toki
    509-5292, Japan
    不详
    816-8580, Japan
    不详
    305-8577, Japan
    Plasma Fusion Res.,
  • [38] Harmonization of multi-site diffusion tensor imaging data
    Fortin, Jean-Philippe
    Parker, Drew
    Tunc, Birkan
    Watanabe, Takanori
    Elliott, Mark A.
    Ruparel, Kosha
    Roalf, David R.
    Satterthwaite, Theodore D.
    Gur, Ruben C.
    Gur, Raquel E.
    Schultz, Robert T.
    Verma, Ragini
    Shinohara, Russell T.
    NEUROIMAGE, 2017, 161 : 149 - 170
  • [39] Stochastic multi-site generation of daily weather data
    Malika Khalili
    François Brissette
    Robert Leconte
    Stochastic Environmental Research and Risk Assessment, 2009, 23 : 837 - 849
  • [40] Incorporating multi-event and multi-site data in the calibration of SWMM
    Arriero Shinma, T.
    Ribeiro Reis, L. F.
    12TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONTROL FOR THE WATER INDUSTRY, CCWI2013, 2014, 70 : 75 - 84