A Data Dependency and Access Threshold Based Replication Strategy for Multi-cloud Workflow Applications

被引：0
|
作者：
Xie, Fei [1 ]
Yan, Jun [1 ]
Shen, Jun [1 ]
机构：
[1] Univ Wollongong, Wollongong, NSW 2500, Australia
来源：
SERVICE-ORIENTED COMPUTING, ICSOC 2018 | 2019年 / 11434卷
关键词：
Multi-cloud; Data management; Data replication; Data dependency; Data access times; DATA PLACEMENT STRATEGY;
D O I：
10.1007/978-3-030-17642-6_24
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Data replication is one of the significant sub-areas of data management in cloud based workflows. Data-intensive workflow applications can gain great benefits from cloud environments and usually need data management strategies to manage large amounts of data. At the same time, multi-cloud environments become more and more popular. We propose a cost-effective and threshold-based data replication strategy with the consideration of both data dependency and data access times for data-intensive workflows in the multi-cloud environment. Finally, the simulation results show that our approach can greatly reduce total cost of data-intensive workflow applications by considering both of data dependency and data access times in multi-cloud environments.
引用
收藏
页码：281 / 293
页数：13
相关论文
共 50 条
  • [31] Selection of Cloud Service Providers for Hosting Web Applications in a Multi-cloud Environment
    Ramamurthy, Arun
    Saurabh, Saket
    Gharote, Mangesh
    Lodha, Sachin
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2020), 2020, : 202 - 209
  • [32] Optimizing data regeneration and storage with data dependency for cloud scientific workflow systems
    Fan, Lei
    Zhou, Lin
    Wang, Meijuan
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [33] CloudMF: Model-Driven Management of Multi-Cloud Applications
    Ferry, Nicolas
    Chauvel, Franck
    Song, Hui
    Rossini, Alessandro
    Lushpenko, Maksym
    Solberg, Arnor
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2018, 18 (02)
  • [34] Multi-cloud Load Distribution for Three-tier Applications
    Adewojo, Adekunbi A.
    Bass, Julian M.
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE (CLOSER), 2022, : 296 - 304
  • [35] Towards a Model-Based Execution-Ware for Deploying Multi-cloud Applications
    Baur, Daniel
    Wesner, Stefan
    Domaschka, Joerg
    ADVANCES IN SERVICE-ORIENTED AND CLOUD COMPUTING, 2015, 508 : 124 - 138
  • [36] Hybrid Multi-Cloud Data Security (HMCDS) Model and Data Classification
    Zardari, Munwar Ali
    Jung, Low Tang
    Zakaria, Mohamed Nordin B.
    2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT), 2014, : 166 - 171
  • [37] A resource provisioning framework for bioinformatics applications in multi-cloud environments
    Senturk, Izzet F.
    Balakrishnan, P.
    Abu-Doleh, Anas
    Kaya, Kamer
    Malluhi, Qutaibah
    Catalyurek, Umit V.
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 78 : 379 - 391
  • [38] Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment
    Shi, Tao
    Ma, Hui
    Chen, Gang
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2020), 2020, : 240 - 247
  • [39] DYNAMIC REPLICATION STRATEGY BASED ON EXPONENTIAL MODEL AND DEPENDENCY RELATIONSHIPS IN DATA GRID
    Yusof, Yuhanis
    Madi, Mohamed
    Hassan, Suhaidi
    JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY-MALAYSIA, 2012, 11 : 193 - 206
  • [40] Scientific workflow scheduling in multi-cloud computing using a hybrid multi-objective optimization algorithm
    Ali Mohammadzadeh
    Mohammad Masdari
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 : 3509 - 3529
12345