Cloud resource orchestration in the multi-cloud landscape: a systematic review of existing frameworks

被引:50
|
作者
Tomarchio, Orazio [1 ]
Calcaterra, Domenico [1 ]
Di Modica, Giuseppe [1 ]
机构
[1] Univ Catania, Dept Elect Elect & Comp Engn, Catania, Italy
基金
欧盟地平线“2020”;
关键词
Cloud computing; Cloud resource orchestration; Multi-cloud; Cloud interoperability; Interconnected clouds; Cloud brokerage; ARCHITECTURES; PORTABILITY; MANAGEMENT; STANDARDS; SERVICES; PLATFORM;
D O I
10.1186/s13677-020-00194-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The number of both service providers operating in the cloud market and customers consuming cloud-based services is constantly increasing, proving that the cloud computing paradigm has successfully delivered its potential. Nevertheless, the unceasing growth of the cloud market is posing hard challenges on its participants. On the provider side, the capability of orchestrating resources in order to maximise profits without failing customers' expectations is a matter of concern. On the customer side, the efficient resource selection from a plethora of similar services advertised by a multitude of providers is an open question. In such a multi-cloud landscape, several research initiatives advocate the employment of software frameworks (namely, cloud resource orchestration frameworks - CROFs) capable of orchestrating the heterogeneous resources offered by a multitude of cloud providers in a way that best suits the customer's need. The objective of this paper is to provide the reader with a systematic review and comparison of the most relevant CROFs found in the literature, as well as to highlight the multi-cloud computing open issues that need to be addressed by the research community in the near future.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] An MMAS-GA for Resource Allocation in Multi-Cloud Systems
    Hajjem, Lotfi
    Benabdallah, Salah
    2016 11TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST), 2016, : 421 - 426
  • [22] Resource Allocation Policy Based on Trust in the Multi-Cloud Environment
    Yang, Jie
    Zhu, Haibin
    Zhu, Xianjun
    Liu, Yi
    Liu, Linyuan
    Liu, Tieqiao
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 3207 - 3212
  • [23] Multi-cloud resource scheduling intelligent system with endogenous security
    Cai, Nishui
    He, Guofeng
    ELECTRONIC RESEARCH ARCHIVE, 2024, 32 (02): : 1380 - 1405
  • [24] 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
  • [25] DYNAMIC PRICING SCHEME FOR RESOURCE ALLOCATION IN MULTI-CLOUD ENVIRONMENT
    Shaari, Nurul Ainaa Binti Muhamad
    Ang, Tan Fong
    Por, Lip Yee
    Liew, Chee Sun
    MALAYSIAN JOURNAL OF COMPUTER SCIENCE, 2017, 30 (01) : 1 - 11
  • [27] Resource Management in Multi-Cloud Scenarios via Reinforcement Learning
    Pietrabissa, Antonio
    Battilotti, Stefano
    Facchinei, Francisco
    Giuseppi, Alessandro
    Oddi, Guido
    Panfili, Martina
    Suraci, Vincenzo
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 9084 - 9089
  • [28] Crane Cloud: A resilient multi-cloud service abstraction layer for resource-constrained settings
    Bainomugisha E.
    Mwotil A.
    Development Engineering, 2022, 7
  • [29] Service Provisioning Problem in Cloud and Multi-Cloud Systems
    Passacantando, Mauro
    Ardagna, Danilo
    Savi, Anna
    INFORMS JOURNAL ON COMPUTING, 2016, 28 (02) : 265 - 277
  • [30] SECURING MULTI-CLOUD BY AUDITING
    Kumar, S. Naveen Vignesh
    Meenakshi, R.
    2017 IEEE 3RD INTERNATIONAL CONFERENCE ON SENSING, SIGNAL PROCESSING AND SECURITY (ICSSS), 2017, : 253 - 258