Performance-Based Network Service Selection in Software-Defined Inter-Cloud Environments

被引:0
|
作者
Duan, Qiang [1 ]
机构
[1] Penn State Univ, Abington Coll, Informat Sci & Technol Dept, University Pk, PA 16802 USA
关键词
AD HOC NETWORKS; DISCOVERY;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Inter-Cloud federation is expected to inrm the next wave of technical development that may greatly enhance Cloud service provisioning. Networking plays a crucial role in an Inter-Cloud environment and has a significant impact on Cloud service performance. Software-defined networking is an indispensable ingredient in a Software-Defined Inter-Cloud Enviromnent (SDICE). Selecting the appropriate network services for meeting performance requirements of Cloud applications is a key to realizing a high-performance SDICE. However, network resource abstraction and inter-domain networking in a SDICE bring in new challenges to performance-based network service selection. In order to tackle this challenging problem, we propose a novel network service selection approach in this paper. The key elements of this approach include a profile that abstracts network service capabilities, a general profile for Cloud applications to specify networking demands, and an analysis technique developed based on the capability and demand profiles for evaluating network service performance guarantee. Application of network calculus in this paper makes the developed approach agnostic to network implementations; therefore supports network abstraction enabled by the software-defined control plane in a SDICE.
引用
收藏
页码:297 / 302
页数:6
相关论文
共 50 条
  • [1] Modeling and performance analysis for composite network–compute service provisioning in software-defined cloud environments
    Qiang Duan
    Digital Communications and Networks, 2015, 1 (03) : 181 - 190
  • [2] Modeling and performance analysis for composite network-compute service provisioning in software-defined cloud environments
    Duan, Qiang
    DIGITAL COMMUNICATIONS AND NETWORKS, 2015, 1 (03) : 181 - 190
  • [3] Enhancing Network Performance Tomography in Software-Defined Cloud Network
    Zhang, Pengfei
    Zhao, Yusu
    Wang, Yongkun
    Jin, Yaohui
    IEEE COMMUNICATIONS LETTERS, 2023, 27 (03) : 832 - 835
  • [4] Strengthen Software-Defined Network in Cloud
    Sun, Guoyou
    Cheng, Shaoyin
    Jiang, Fan
    PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS; IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY; IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), 2016, : 385 - 392
  • [5] WAN as a Service for Cloud via Software-Defined Network and Open APIs
    Yan, Huan
    Liu, Jiaqiang
    Li, Yong
    Dong, Wenxia
    Lin, Chengyong
    Jin, Depeng
    2015 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2015, : 9 - 10
  • [6] Software-defined Transport Network for Cloud Computing
    He, Jianfei
    2013 OPTICAL FIBER COMMUNICATION CONFERENCE AND EXPOSITION AND THE NATIONAL FIBER OPTIC ENGINEERS CONFERENCE (OFC/NFOEC), 2013,
  • [7] Dynamic, software-defined service provider network infrastructure and cloud drivers for SDN adoption
    DeCusatis, C.
    Haley, M.
    Bundy, T.
    Cannistra, R.
    Wallner, R.
    Parraga, J.
    Flaherty, R.
    2013 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (IEEE ICC), 2013, : 235 - 239
  • [8] FSDM: Floodless Service Discovery Model based on Software-Defined Network
    Wang, Jian
    Zhao, Weichen
    Yang, Shouren
    Liu, Jiang
    Huang, Tao
    Liu, Yunjie
    2013 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (IEEE ICC), 2013, : 230 - 234
  • [9] Stemflow: Software-Defined Inter-Datacenter Overlay as a Service
    Liu, Shuhao
    Li, Baochun
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2017, 35 (11) : 2563 - 2573
  • [10] A Software-Defined Network based Node Selection Algorithm in WSN Localization
    Zhu, Yaping
    Zhang, Yueyue
    Xia, Weiwei
    Shen, Lianfeng
    2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2016,