A Survey on Replica Transfer Optimization Schemes in Geographically Distributed Data Centers

被引:0
|
作者
Fatemipour, Bita [1 ]
Zhang, Zhe [2 ]
St-Hilaire, Marc [1 ]
机构
[1] Carleton Univ, Sch Informat Technol, Ottawa, ON K1S 5B6, Canada
[2] Nanjing Univ Posts & Telecommun, Sch Commun & Informat Engn, Nanjing 210003, Jiangsu, Peoples R China
关键词
Cloud computing; Data centers; Optimization; Costs; Reviews; Data transfer; Geo-distributed data centers; inter-data-center traffic; replica management; resource management; traffic engineering; data center networks; workload management; literature review; survey; CLOUD; MANAGEMENT; MULTICAST; DELIVERY; NETWORK; ENERGY;
D O I
10.1109/TNSM.2024.3437165
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data centers have undergone significant expansions in recent years, as cloud service providers seek to improve the quality of service and reduce operational costs. Cloud providers are investing heavily in inter-data center wide-area networks, which help to transport traffic between geographically distributed data centers. However, efficient workload management in complex large-scale networks with a dynamic environment is challenging. In this regard, researchers have developed various solutions to address different challenges for data transfer in inter-data center networks. In this paper, we present a comprehensive review of recent strategies and optimization schemes proposed in the literature to optimize data transfer in geographically distributed data centers. This review paper examines the challenges of data delivery and classifies recent existing solutions for addressing the issues based on communication patterns, objectives, proposed communication frameworks, and evaluation methods. In this study, we provide valuable insights into the current challenges and identify several promising research directions that require significant research endeavors in the future. The findings of this study are useful for researchers and practitioners interested in optimizing data transfer in inter-data center networks.
引用
收藏
页码:6301 / 6317
页数:17
相关论文
共 50 条
  • [1] Optimization-based workload distribution in geographically distributed data centers: A survey
    Ahmad, Iftikhar
    Khalil, Muhammad Imran Khan
    Shah, Syed Adeel Ali
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (12)
  • [2] Energy Cost Optimization for Geographically Distributed Heterogeneous Data Centers
    Jonardi, Eric
    Oxley, Mark A.
    Pasricha, Sudeep
    Maciejewski, Anthony A.
    Siegel, Howard Jay
    2015 SIXTH INTERNATIONAL GREEN COMPUTING CONFERENCE AND SUSTAINABLE COMPUTING CONFERENCE (IGSC), 2015,
  • [3] The cloud of geographically distributed data centers
    Fedchenkov, Petr
    Shevel, Andrey
    Khoruzhnikov, Sergey
    Sadov, Oleg
    Lazo, Oleg
    Samokhin, Nikitta
    23RD INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2018), 2019, 214
  • [4] Stochastic Programming for Cost Optimization in Geographically Distributed Internet Data Centers
    Wang, Peng
    Cao, Yujie
    Ding, Zhaohao
    Tang, Honghai
    Wang, Xuanyuan
    Cheng, Ming
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2022, 8 (04): : 1215 - 1232
  • [5] Unifying Data and Replica Placement for Data-intensive Services in Geographically Distributed Clouds
    Atrey, Ankita
    Van Seghbroeck, Gregory
    Mora, Higinio
    De Turck, Filip
    Volckaert, Bruno
    CLOSER: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, 2019, : 25 - 36
  • [6] Dynamic data replication and placement strategy in geographically distributed data centers
    Bouhouch, Laila
    Zbakh, Mostapha
    Tadonki, Claude
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 35 (14):
  • [7] A Distributed Optimization Method for the Geographically Distributed Data Centres Problem
    Wahbi, Mohamed
    Grimes, Diarmuid
    Mehta, Deepak
    Brown, Kenneth N.
    O'Sullivan, Barry
    INTEGRATION OF AI AND OR TECHNIQUES IN CONSTRAINT PROGRAMMING, CPAIOR 2017, 2017, 10335 : 147 - 166
  • [8] Minimizing Energy Costs for Geographically Distributed Heterogeneous Data Centers
    Hogade, Ninad
    Pasricha, Sudeep
    Siegel, Howard Jay
    Maciejewski, Anthony A.
    Oxley, Mark A.
    Jonardi, Eric
    IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2018, 3 (04): : 318 - 331
  • [9] Autonomous Network and IT Resource Management for Geographically Distributed Data Centers
    Shen, Yiwen
    Samadi, Payman
    Bergman, Keren
    JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2018, 10 (02) : A225 - A231
  • [10] An Efficient Scheduling of HPC Applications on Geographically Distributed Cloud Data Centers
    Rajabi, Aboozar
    Faragardi, Hamid Reza
    Nolte, Thomas
    COMPUTER NETWORKS AND DISTRIBUTED SYSTEMS, CNDS 2013, 2014, 428 : 155 - 167