A Review on Trust-Based Resource Allocation in Cloud Environment: Issues Toward Collaborative Cloud

被引:2
|
作者
Pol, Pooja Shashank [1 ]
Pachghare, Vinod K. [1 ]
机构
[1] Coll Engn Pune, Wellesley Rd, Pune 411005, Maharashtra, India
关键词
Resource allocation; trust computing; collaborative cloud; quality of service; optimization algorithms; cloud computing; VIRTUAL MACHINE ALLOCATION; MANAGEMENT FRAMEWORK; COMPUTING RESOURCE; ENERGY-EFFICIENT; VEHICULAR CLOUD; BEHAVIOR TRUST; SERVICE; OPTIMIZATION; ALGORITHM; MODEL;
D O I
10.1142/S1793351X22400141
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to the exponential rise in the usage of the internet and smart devices, there is a demand for enhanced network efficiency and user satisfaction in a cloud computing environment. Moreover, moving to the cloud systems, it mainly focuses on storage, computation and resources. Due to copious growth, there exist more challenges as well. Among those, resource allocation in cloud computing is the main study, which is essential to determine the QoS and improved performance concerning reliability, confidentiality, trust, security, user satisfaction, profits, etc. This paper plans to prepare a detailed review on trust-based resource allocation in the collaborative cloud. The cloud industry has been assessed in terms of trust-based and other important factors to produce a road plan for resource allocation. Many papers are reviewed here and give a substantial evaluation of cloud resources and their resource allocation models using machine learning and optimization models. First, this survey provides an elaborated study concerning the various cloud resources considering the performance and QoS. Eventually, it extends the research based on trust-based approaches, with the intention of motivating the researchers to focus on trust-based resource allocation on collaborative cloud computing (CCC) atmosphere.
引用
收藏
页码:59 / 91
页数:33
相关论文
共 50 条
  • [41] Recent advancements in resource allocation techniques for cloud computing environment: a systematic review
    Syed Hamid Hussain Madni
    Muhammad Shafie Abd Latiff
    Yahaya Coulibaly
    Shafi’i Muhammad Abdulhamid
    Cluster Computing, 2017, 20 : 2489 - 2533
  • [42] Optimal Resource Allocation Approach in Cloud Computing Environment
    Kumar, Pawan
    Kumar, Rakesh
    PROCEEDINGS ON 2016 2ND INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT), 2016, : 112 - 117
  • [43] An Intelligent Resource Allocation Mechanism in the Cloud Computing Environment
    Sun, Jiajia
    Wang, Xingwei
    Huang, Min
    2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2013, : 744 - 750
  • [44] Adaptive Resource Allocation Strategy in Cloud Computing Environment
    Wang Yan
    Wang Jinkuan
    Han Yinghua
    Wang Xin
    2017 9TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC 2017), 2017, : 70 - 75
  • [45] Analytic hierarchy process for resource allocation in cloud environment
    Revathy C.
    Sekar G.
    Journal of Cyber Security and Mobility, 2018, 7 (02): : 25 - 38
  • [46] Improved PSO Resource Allocation Method in Cloud Environment
    Zhao, Shengye
    Wu, Wenjiang
    TWELFTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS, 2021, 11719
  • [47] A survey of resource allocation in the mobile cloud computing environment
    Liu, Li
    Fan, Qi
    Fu, Dongmei
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2018, 57 (04) : 281 - 290
  • [48] Optimized resource allocation in edge-cloud environment
    Randriamasinoro, Njakarison Menja
    Nguyen, Kim Khoa
    Cheriet, Mohamed
    12TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON2018), 2018, : 816 - 823
  • [49] Subgraph Matching for Resource Allocation in the Federated Cloud Environment
    Aral, Atakan
    Ovatman, Tolga
    2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, 2015, : 1033 - 1036
  • [50] An Improvement of Resource Allocation for Migration Process in Cloud Environment
    Tien-Dung Nguyen
    An Thuy Nguyen
    Man Doan Nguyen
    Mui Van Nguyen
    Eui-Nam Huh
    COMPUTER JOURNAL, 2014, 57 (02): : 308 - 318