Workflow Scheduling on Federated Clouds

被引:0
|
作者
Durillo, Juan J. [1 ]
Prodan, Radu [1 ]
机构
[1] Univ Innsbruck, A-6020 Innsbruck, Austria
来源
基金
奥地利科学基金会;
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Federated Clouds, or the orchestration of multiple Cloud services for fulfilling applications' requirements, is receiving increasing attention. Despite their many advantages, federated Clouds also present some downsides since different services may reside in different geographically located areas. This paper focuses on evaluating the advantages and disadvantages, from the point of view of performance and financial costs, of using a federation of Clouds for executing scientific workflows. It evaluates a wide range of different workflow types with different requirements in terms of computation and communication (produced and consumed data), and discusses which kind of workflow applications can benefit from a Cloud federation and how.
引用
收藏
页码:318 / 329
页数:12
相关论文
共 50 条
  • [41] Towards energy-efficient service scheduling in federated edge clouds
    Yeonwoo Jeong
    Esrat Maria
    Sungyong Park
    Cluster Computing, 2023, 26 : 2591 - 2603
  • [42] Budget and Deadline Aware e-Science Workflow Scheduling in Clouds
    Arabnejad, Vahid
    Bubendorfer, Kris
    Ng, Bryan
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 30 (01) : 29 - 44
  • [43] A review on workflow scheduling and resource allocation algorithms in distributed mobile clouds
    Golmohammadi, Akram
    Tabbakh, Seyed Reza Kamel
    Ghaemi, Reza
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2023, 34 (08)
  • [44] Tasks Selection Policies for Securing Sensitive Data on Workflow Scheduling in Clouds
    Shishido, Henrique Yoshikazu
    Estrella, Julio Cezar
    Motta Toledo, Claudio F.
    Reiff-Marganiec, Stephan
    2018 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (IEEE SCC 2018), 2018, : 233 - 236
  • [45] Performance Modeling and Workflow Scheduling of Microservice-Based Applications in Clouds
    Bao, Liang
    Wu, Chase
    Bu, Xiaoxuan
    Ren, Nana
    Shen, Mengqing
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 30 (09) : 2101 - 2116
  • [46] Privacy-aware and cost-aware workflow scheduling in clouds
    Wen Y.
    Liu J.
    Chen C.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2016, 22 (02): : 294 - 301
  • [47] Workflow Scheduling in Clouds using Pareto Dominance for Makespan, Cost and Energy
    Alrammah, Huda
    Gu, Yi
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [48] A novel scheduling algorithm for data-intensive workflow in virtualised clouds
    Li F.
    International Journal of Networking and Virtual Organisations, 2019, 20 (03) : 284 - 300
  • [49] Fault-Tolerant Workflow Scheduling Using Spot Instances on Clouds
    Poola, Deepak
    Ramamohanarao, Kotagiri
    Buyya, Rajkumar
    2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, 2014, 29 : 523 - 533
  • [50] Cost Effective and Deadline Constrained Scientific Workflow Scheduling for Commercial Clouds
    Arabnejad, Vahid
    Bubendorfer, Kris
    2015 IEEE 14TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA), 2015, : 106 - 113