Federated Service Chaining: Architecture and Challenges

被引:14
作者
Cui, Lin [1 ]
Tso, Fung Po [2 ]
Jia, Weijia [3 ]
机构
[1] Jinan Univ, Dept Comp Sci, Guangzhou, Peoples R China
[2] Loughborough Univ, Dept Comp Sci, Loughborough, Leics, England
[3] Univ Macau, State Kay Lab Internet Things Smart City, Taipa, Macao, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
Power capacitors; Cloud computing; Computer architecture; Stakeholders; Image edge detection; Resource management; Edge computing; Metasearch;
D O I
10.1109/MCOM.001.1900627
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Emerging edge computing has seen latency- sensitive services moving rapidly from cloud to the edge to take advantage of its close vicinity to end users, while cloud is retained for carrying out latency-insensitive and computation-intensive tasks. When more edge computing service providers come to the market, the network will become increasingly more fragmented because of their proprietary services and policies deployed in the network. This means that the Internet can become more cumbersome and riskier as there will be more tiers and potential vulnerabilities that could be exploited. To tackle this issue, we envisage a federated service chaining paradigm in which operators can share and put service functions in other participants' networks so as to improve resource utilization, collaboratively mitigate cyber threats, and enable service innovations. In this position article, building on our past experience in enabling federated cloud infrastructure and heterogeneous service chaining, we present a Federated Service Chaining architecture followed by discussions of its key components. Several key research challenges are described for the successful realization of such architecture. We hope this article can open a discussion in the research community and generate enough research interest to significantly advance this field.
引用
收藏
页码:47 / 53
页数:7
相关论文
共 14 条
  • [1] [Anonymous], [No title captured]
  • [2] [Anonymous], 2015, 7498 IETF RFC
  • [3] [Anonymous], 2015, SERVICE FUNCTION CHA
  • [4] A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
    Buyya, Rajkumar
    Srirama, Satish Narayana
    Casale, Giuliano
    Calheiros, Rodrigo
    Simmhan, Yogesh
    Varghese, Blesson
    Gelenbe, Erol
    Javadi, Bahman
    Vaquero, Luis Miguel
    Netto, Marco A. S.
    Toosi, Adel Nadjaran
    Rodriguez, Maria Alejandra
    Llorente, Ignacio M.
    Di Vimercati, Sabrina De Capitani
    Samarati, Pierangela
    Milojicic, Dejan
    Varela, Carlos
    Bahsoon, Rami
    De Assuncao, Marcos Dias
    Rana, Omer
    Zhou, Wanlei
    Jin, Hai
    Gentzsch, Wolfgang
    Zomaya, Albert Y.
    Shen, Haiying
    [J]. ACM COMPUTING SURVEYS, 2019, 51 (05)
  • [5] Enabling Heterogeneous Network Function Chaining
    Cui, Lin
    Tso, Fung Po
    Guo, Song
    Jia, Weijia
    Wei, Kaimin
    Zhao, Wei
    [J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 30 (04) : 842 - 854
  • [6] GENEZ TAL, 2018, CCNC, P1
  • [7] Proactive Failure Recovery for NFV in Distributed Edge Computing
    Huang, Huawei
    Guo, Song
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2019, 57 (05) : 131 - 137
  • [8] Interoperable Federated Cloud Networking
    Huedo, Eduardo
    Montero, Ruben S.
    Moreno, Rafael
    Llorente, Ignacio M.
    Levin, Anna
    Massonet, Philippe
    [J]. IEEE INTERNET COMPUTING, 2017, 21 (05) : 54 - 59
  • [9] Commodity single board computer clusters and their applications
    Johnston, Steven J.
    Basford, Philip J.
    Perkins, Colin S.
    Herry, Herry
    Tso, Fung Po
    Pezaros, Dimitrios
    Mullins, Robert D.
    Yoneki, Eiko
    Cox, Simon J.
    Singer, Jeremy
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 89 : 201 - 212
  • [10] DDoS in the IoT: Mirai and Other Botnets
    Kolias, Constantinos
    Kambourakis, Georgios
    Stavrou, Angelos
    Voas, Jeffrey
    [J]. COMPUTER, 2017, 50 (07) : 80 - 84