A Cloud-Oriented Content Delivery Network Paradigm: Modeling and Assessment

被引:74
|
作者
Papagianni, Chrysa [1 ]
Leivadeas, Aris [1 ]
Papavassiliou, Symeon [1 ]
机构
[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Athens 15780, Greece
关键词
Content delivery network; cloud computing; networked cloud; replica placement; OPTIMAL PLACEMENT; ALLOCATION; PROXIES; READ;
D O I
10.1109/TDSC.2013.12
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud-oriented content delivery networks (CCDNs) constitute a promising alternative to traditional content delivery networks. Exploiting the advantages and principles of the cloud, such as the pay as you go business model and geographical dispersion of resources, CCDN can provide a viable and cost-effective solution for realizing content delivery networks and services. In this paper, a hierarchical framework is proposed and evaluated toward an efficient and scalable solution of content distribution over a multiprovider networked cloud environment, where inter and intra cloud communication resources are simultaneously considered along with traditional cloud computing resources. To efficiently deal with the CCDN deployment problem in this emerging and challenging computing paradigm, the problem is decomposed to graph partitioning and replica placement problems while appropriate cost models are introduced/adapted. Novel approaches on the replica placement problem within the cloud are proposed while the limitations of the physical substrate are taken into consideration. The performance of the proposed hierarchical CCDN framework is assessed via modeling and simulation, while appropriate metrics are defined/adopted associated with and reflecting the interests of the different identified involved key players.
引用
收藏
页码:287 / 300
页数:14
相关论文
共 50 条
  • [41] A Proposal of a Cloud-Oriented Security and Performance Simulator Provided as-a-Service
    Casola, Valentina
    De Benedictis, Alessandra
    Rak, Massimiliano
    Villano, Umberto
    COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS, 2019, 772 : 1002 - 1011
  • [42] A cloud-oriented siamese network object tracking algorithm with attention network and adaptive loss function (vol 12, 51, 2023)
    Sun, Jinping
    Li, Dan
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2023, 12 (01):
  • [43] CLOUD-ORIENTED DIGITAL EDUCATIONAL RESOURCES FOR PHYSICS LEARNING RESEARCHES SUPPORT
    Merzlykin, Oleksandr V.
    INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 2015, 49 (05) : 106 - 120
  • [44] RainbowD: A Heterogeneous Cloud-Oriented Efficient Docker Image Distribution System
    Zhang H.
    Sun Y.-Z.
    Xiao L.
    Tang Y.
    Hu M.-M.
    Du Q.-Y.
    Cai Z.-B.
    Feng B.-M.
    Sun, Yu-Zhong (yuzhongsun@ict.ac.cn); Xiao, Li (xiaoli@ict.ac.cn), 1600, Science Press (43): : 2067 - 2083
  • [45] Quantifying the Performance of Cloud-Oriented Container Orchestrators on Emulated Tactical Networks
    Kudla, Thomas
    Fogli, Mattia
    Webb, Sean
    Pingen, Geert
    Suri, Niranjan
    Bastiaansen, Harrie
    IEEE COMMUNICATIONS MAGAZINE, 2022, 60 (05) : 74 - 80
  • [46] CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living
    Forkan, Abdur
    Khalil, Ibrahim
    Tari, Zahir
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2014, 35 : 114 - 127
  • [47] The Flowbster Cloud-Oriented Workflow System to Process Large Scientific Data Sets
    Peter Kacsuk
    József Kovács
    Zoltán Farkas
    Journal of Grid Computing, 2018, 16 : 55 - 83
  • [48] CloudAC: a cloud-oriented multilayer access control system for logic virtual domain
    Qiang, Weizhong
    Zou, Deqing
    Wang, Shenglan
    Yang, Laurence Tianruo
    Jin, Hai
    Shi, Lei
    IET INFORMATION SECURITY, 2013, 7 (01) : 51 - 59
  • [49] DAIS: dynamic access and integration services framework for cloud-oriented storage systems
    Kumar, Ajay
    Bawa, Seema
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2020, 23 (04): : 3289 - 3308
  • [50] A particle swarm optimisation algorithm for cloud-oriented workflow scheduling based on reliability
    Jian, Chengfeng
    Tao, Meng
    Wang, Yekun
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2014, 50 (3-4) : 220 - 225