Failure-aware resource provisioning for hybrid Cloud infrastructure

被引:113
|
作者
Javadi, Bahman [1 ]
Abawajy, Jemal [2 ]
Buyya, Rajkumar [3 ]
机构
[1] Univ Western Sydney, Sch Comp Engn & Math, Penrith, NSW 1797, Australia
[2] Deakin Univ, Sch Informat Technol, Pervas Comp & Networks Res Grp, Geelong, Vic 3217, Australia
[3] Univ Melbourne, Cloud Comp & Distributed Syst CLOUDS Lab, Dept Comp & Informat Syst, Melbourne, Vic 3010, Australia
关键词
Hybrid Cloud computing; Quality of service; Deadline; Workload model; Resource provisioning; Resource failures; SCHEME;
D O I
10.1016/j.jpdc.2012.06.012
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Hybrid Cloud computing is receiving increasing attention in recent days. In order to realize the full potential of the hybrid Cloud platform, an architectural framework for efficiently coupling public and private Clouds is necessary. As resource failures due to the increasing functionality and complexity of hybrid Cloud computing are inevitable, a failure-aware resource provisioning algorithm that is capable of attending to the end-users quality of service (QoS) requirements is paramount. In this paper, we propose a scalable hybrid Cloud infrastructure as well as resource provisioning policies to assure QoS targets of the users. The proposed policies take into account the workload model and the failure correlations to redirect users' requests to the appropriate Cloud providers. Using real failure traces and a workload model, we evaluate the proposed resource provisioning policies to demonstrate their performance, cost as well as performance-cost efficiency. Simulation results reveal that in a realistic working condition while adopting user estimates for the requests in the provisioning policies, we are able to improve the users' QoS about 32% in terms of deadline violation rate and 57% in terms of slowdown with a limited cost on a public Cloud. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:1318 / 1331
页数:14
相关论文
共 50 条
  • [1] Failure-Aware Resource Scheduling Policy for Hybrid Cloud
    Zhang Hong
    Zhu Hai
    [J]. 2014 TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2014, : 152 - 156
  • [2] Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach
    Khaleel, Mustafa Ibrahim
    [J]. SWARM AND EVOLUTIONARY COMPUTATION, 2024, 91
  • [3] Availability-Aware Virtual Resource Provisioning for Infrastructure Service Agreements in the Cloud
    Shuai Yuan
    Sanjukta Das
    Ram Ramesh
    Chunming Qiao
    [J]. Information Systems Frontiers, 2023, 25 : 1495 - 1512
  • [4] Availability-Aware Virtual Resource Provisioning for Infrastructure Service Agreements in the Cloud
    Yuan, Shuai
    Das, Sanjukta
    Ramesh, Ram
    Qiao, Chunming
    [J]. INFORMATION SYSTEMS FRONTIERS, 2023, 25 (04) : 1495 - 1512
  • [5] Failure-Aware Elastic Cloud Workflow Scheduling
    Yao, Guangshun
    Li, Xiaoping
    Ren, Qian
    Ruiz, Ruben
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 16 (03) : 1846 - 1859
  • [6] Scheduling analysis of failure-aware VM in cloud system
    [J]. Ro, C. (cwro@silla.ac.kr), 1600, Science and Engineering Research Support Society, 20 Virginia Court, Sandy Bay, Tasmania, Australia (07):
  • [7] Failure-aware Virtual Machine Configuration for Cloud Computing
    Luo, Yaqin
    Qi, Li
    [J]. 2012 IEEE ASIA-PACIFIC SERVICES COMPUTING CONFERENCE (APSCC), 2012, : 125 - 132
  • [8] Performance, Resource, and Cost Aware Resource Provisioning in the Cloud
    Logeswaran, Lajanugen
    Bandara, H. M. N. Dilum
    Bhathiya, H. S.
    [J]. PROCEEDINGS OF 2016 IEEE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2016, : 913 - 916
  • [9] VRM: A failure-aware grid resource management system
    Communication and Operating Systems Group, School of Electrical Engineering and Computer Science, Technische Universitaet Berlin, Einsteinufer 17 Sekr. EN6, 10587 Berlin, Germany
    不详
    [J]. Int. J. High Perform. Comput. Networking, 2008, 4 (215-226):
  • [10] Toward Failure-Aware Energy-Efficient Service Provisioning in Vehicular Fog Computing
    Tang, Chaogang
    Zhu, Chunsheng
    Wu, Huaming
    Ning, Lei
    Rodrigues, Joel J. P. C.
    [J]. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 5311 - 5316