Computing Power Network: A Survey

被引:5
|
作者
Sun, Yukun [1 ]
Lei, Bo [2 ]
Liu, Junlin [1 ]
Huang, Haonan [1 ]
Zhang, Xing [1 ]
Peng, Jing [3 ]
Wang, Wenbo [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
[2] Res Inst China Telecom Co Ltd, Beijing 102209, Peoples R China
[3] Beijing Branch China Telecom Co Ltd, Beijing 100032, Peoples R China
基金
美国国家科学基金会;
关键词
computing power modeling; computing; power network; computing power scheduling; infor- mation awareness; network forwarding; RESOURCE-ALLOCATION; EDGE; COMPUTATION; ARCHITECTURE; AWARE; PREDICTION; CONSENSUS; INTERNET; SCHEMES; DOCKER;
D O I
10.23919/JCC.ja.2021-0776
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
With the rapid development of cloud computing, edge computing, and smart devices, computing power resources indicate a trend of ubiquitous deployment. The traditional network architecture cannot efficiently leverage these distributed computing power resources due to computing power island effect. To overcome these problems and improve network efficiency, a new network computing paradigm is proposed, i.e., Computing Power Network (CPN). Computing power network can connect ubiquitous and heterogenous computing power resources through networking to realize computing power scheduling flexibly. In this survey, we make an exhaustive review on the state-of-the-art research efforts on computing power network. We first give an overview of computing power network, including definition, architecture, and advantages. Next, a comprehensive elaboration of issues on computing power modeling, information awareness and announcement, resource allocation, network forwarding, computing power transaction platform and resource orchestration platform is presented. The computing power network testbed is built and evaluated. The applications and use cases in computing power network are discussed. Then, the key enabling technologies for computing power network are introduced. Finally, open challenges and future research directions are presented as well.
引用
收藏
页码:109 / 145
页数:37
相关论文
共 50 条
  • [21] Survey of wireless network interfaces for mobile computing devices
    Fall, K
    Agrawal, P
    Sivalingam, K
    1997 IEEE INTERNATIONAL CONFERENCE ON PERSONAL WIRELESS COMMUNICATIONS, 1997, : 344 - 348
  • [22] A survey on virtual network embedding in cloud computing centers
    Wei, Xiaohui
    Hu, Shoufeng
    Li, Hongliang
    Yang, Fan
    Jin, Yue
    Open Automation and Control Systems Journal, 2014, 6 (01): : 414 - 425
  • [23] Power-Aware Computing Systems on FPGAs: A Survey
    Akguen, Goekhan
    Ali, Muhammad
    Goehringer, Diana
    2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021), 2021, : 45 - 51
  • [24] The Power Grid as a complex network: A survey
    Pagani, Giuliano Andrea
    Aiello, Marco
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2013, 392 (11) : 2688 - 2700
  • [25] Restoration of power network - a bibliographic survey
    Sudhakar, T. D.
    Srinivas, K. N.
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2011, 21 (01): : 635 - 655
  • [26] Graph Computing Based Power Network Analysis Applications
    Liu G.
    Dai R.
    Lu Y.
    Liu K.
    Wang Z.
    Yuan C.
    Fan H.
    Dai J.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2020, 35 (11): : 2339 - 2348
  • [27] Power Distribution Unit (PDU) for a Distributed Computing Network
    Faisal, Muhammad
    Walter, Thomas
    Montenegro, Sergio
    PROCEEDINGS OF THE 2017 21ST CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT), 2017, : 108 - 113
  • [28] Task scheduling algorithm for heterogeneous Computing Power Network
    He, Guodong
    Li, Xiaohui
    Lv, Siting
    Zhou, Yuanyuan
    Ni, ZhiGang
    Chen, Xingbo
    2024 IEEE 99TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2024-SPRING, 2024,
  • [29] Computing Power Network: A Testbed and Applications with Edge Intelligence
    Liu, Junlin
    Sun, Yukun
    Su, Junqi
    Li, Zhaojiang
    Zhang, Xing
    Lei, Bo
    Wang, Wenbo
    IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2022,
  • [30] Electrical Power Grid Network Optimisation by Evolutionary Computing
    Oliver, John M.
    Kipouros, Timoleon
    Savill, A. Mark
    2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, 2014, 29 : 1937 - 1947