Optimal allocation of cloud multi-tenant platform infrastructure resources

被引：0
|
作者：
Ignatyev O. [1 ]
机构：
[1] Oracle Corporation, 2955 Campus Drive, San Mateo, 94403, CA
来源：
Int. J. Cloud Computing | 2019年 / 2卷 / 117-139期
关键词：
Cloud computing; Cloud infrastructure; Computational processing power; Data storage; Multi-tenant architecture; Resources optimisation; SaaS; Software-as-a-service;
D O I：
10.1504/ijcc.2019.10021214
中图分类号：
学科分类号：
摘要：
Infrastructure resources optimisation is a significant challenge in multi-tenant cloud environment. A system and associated algorithm and processes to enable a multi-tenant platform operator or administrator to make more optimal decisions with regards to the allocation of platform infrastructure resources (such as computational capabilities, data storage, etc.) among one or more tenants or accounts are provided. In particular, we construct a data ‘signature’ for a set of identified users, accounts, or tenants, where the signature contains data regarding the user, account, or tenant’s ‘consumption’ of platform infrastructure resources. Later tenants ‘signatures’ are being used to accomplish cloud infrastructure resources optimisation in multi-tenant environment. An innovative algorithm for cloud infrastructure resources optimisation in multi-tenant environment is introduced in current paper. Copyright © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码：117 / 139
页数：22
相关论文
共 50 条
  • [31] Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud
    Kang, Qi
    Liu, Ji
    Yang, Sijia
    Xiong, Haoyi
    An, Haozhe
    Li, Xingjian
    Feng, Zhi
    Wang, Licheng
    Dou, Dejing
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, : 1954 - 1963
  • [32] MULTI-TENANT ACCESS CONTROL MODEL FOR CLOUD MANUFACTURING
    Chen, Qianwen
    Zhou, Zude
    Zhang, Xiaomei
    Jiang, Xuemei
    PROCEEDINGS OF THE ASME 12TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2017, VOL 3, 2017,
  • [33] Multi-Tenant services Monitoring for Accountability in Cloud Computing
    Masmoudi, Fatma
    Loulou, Monia
    Kacem, Ahmed Hadj
    2014 IEEE 6TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM), 2014, : 620 - 625
  • [34] EdgeNet: A Multi-Tenant and Multi-Provider Edge Cloud
    Senel, Berat Can
    Mouchet, Maxime
    Cappos, Justin
    Fourmaux, Olivier
    Friedman, Timur
    McGeer, Rick
    PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON EDGE SYSTEMS, ANALYTICS AND NETWORKING (EDGESYS'21), 2021, : 49 - 54
  • [35] Resource Accounting of Shared IT Resources in Multi-Tenant Clouds
    Tak, Byung Chul
    Kwon, Youngjin
    Urgaonkar, Bhuvan
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2017, 10 (02) : 302 - 315
  • [36] Addressing security compatibility for multi-tenant cloud services
    Khan, Khaled M.
    Erradi, Abdelkarim
    Alhazbi, Saleh
    Han, Jun
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2013, 47 (04) : 370 - 378
  • [37] Cloud Computing Architectures Based Multi-Tenant IDS
    Khalil, Elmahdi
    Enniari, Saad
    Zbakh, Mostapha
    2013 NATIONAL SECURITY DAYS (JNS3), 2013,
  • [38] Multi-tenant Verification-as-a-Service (VaaS) in a cloud
    Hu, Kai
    Lei, Lei
    Tsai, Wei-Tek
    SIMULATION MODELLING PRACTICE AND THEORY, 2016, 60 : 122 - 143
  • [39] FfDL: A Flexible Multi-tenant Deep Learning Platform
    Jayaram, K. R.
    Muthusamy, Vinod
    Dube, Parijat
    Ishakian, Vatche
    Wang, Chen
    Herta, Benjamin
    Boag, Scott
    Arroyo, Diana
    Tantawi, Asser
    Verma, Archit
    Pollok, Falk
    Khalaf, Rania
    MIDDLEWARE'19: PROCEEDINGS OF THE 2019 MIDDLEWARE'19: 20TH INTERNATIONAL MIDDLEWARE CONFERENCE, 2019, : 82 - 95
  • [40] Deadline Guaranteed Service for Multi-Tenant Cloud Storage
    Liu, Guoxin
    Shen, Haiying
    Wang, Haoyu
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 27 (10) : 2851 - 2865
12345