Virtual Infrastructures as a service enabling converged optical networks and Data Centres

被引:6
|
作者
Ferrer Riera, Jordi [1 ]
Tzanakaki, Anna [2 ]
Antonescu, Alexandru-Florian [3 ,4 ]
Anastasopoulos, Markos [2 ]
Garcia-Espin, Joan A. [1 ]
Escalona, Eduard [1 ]
Peng, Shuping [2 ]
Landi, Giada [5 ]
Bernini, Giacomo [5 ]
Belter, Bartosz [6 ]
Parniewicz, Damian [6 ]
Hesselbach, Xavier [1 ,7 ]
Figuerola, Sergi [1 ]
Simeonidou, Dimitra [2 ]
机构
[1] Fundacio i2CAT, Barcelona, Catalonia, Spain
[2] Univ Bristol, High Performance Networks Grp, Dept Elect & Elect Engn, Bristol BS8 1TH, Avon, England
[3] SAP Inc, Next Business & Technol, CH-8105 Regensdorf, Switzerland
[4] Univ Bern, CH-3012 Bern, Switzerland
[5] Nextworks, I-56122 Pisa, Italy
[6] Poznan Supercomp & Networking Ctr, PL-61704 Poznan, Poland
[7] Univ Politecn Cataluna, Dept Engn Telemat, Barcelona, Spain
关键词
Virtual infrastructure planning; Dynamic re-planning; Data Centre; optical network convergence; Distributed Enterprise Information System;
D O I
10.1016/j.osn.2014.05.017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing service emerged as an essential component of the Enterprise IT infrastructure. Migration towards a full range and large-scale convergence of Cloud and network services has become the current trend for addressing requirements of the Cloud environment. Our approach takes the infrastructure as a service paradigm to build converged virtual infrastructures, which allow offering tailored performance and enable multi-tenancy over a common physical infrastructure. Thanks to virtualization, new exploitation activities of the physical infrastructures may arise for both transport network and Data Centres services. This approach makes network and Data Centres' resources dedicated to Cloud Computing to converge on the same flexible and scalable level. The work presented here is based on the automation of the virtual infrastructure provisioning service. On top of the virtual infrastructures, a coordinated operation and control of the different resources is performed with the objective of automatically tailoring connectivity services to the Cloud service dynamics. Furthermore, in order to support elasticity of the Cloud services through the optical network, dynamic re-planning features have been provided to the virtual infrastructure service, which allows scaling up or down existing virtual infrastructures to optimize resource utilization and dynamically adapt to users' demands. Thus, the dynamic re-planning of the service becomes key component for the coordination of Cloud and optical network resource in an optimal way in terms of resource utilization. The presented work is complemented with a use case of the virtual infrastructure service being adopted in a distributed Enterprise Information System, that scales up and down as a function of the application requests. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:197 / 208
页数:12
相关论文
共 7 条
  • [1] Converged Optical Network and Data Center Virtual Infrastructure Planning
    Georgakilas, Konstantinos N.
    Tzanakaki, Anna
    Anastasopoulos, Markos
    Pedersen, Jens Myrup
    JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2012, 4 (09) : 681 - 691
  • [2] Reliable Design for Stochastic Multicast Virtual Network in Data Centres
    Liao, Dan
    Sun, Gang
    Anand, Vishal
    Yu, Hongfang
    IETE TECHNICAL REVIEW, 2014, 31 (05) : 327 - 341
  • [3] Communication-aware virtual machine migration in cloud data centres
    Xue W.
    Li W.
    Qi H.
    Li K.
    Tao X.
    Ji X.
    Li, Keqiu (keqiu@dlut.edu.cn), 2017, Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (10) : 372 - 380
  • [4] An Energy Aware Framework for Virtual Machine Placement in Cloud Federated Data Centres
    Dupont, Corentin
    Giuliani, Giovanni
    Hermenier, Fabien
    Schulze, Thomas
    Somov, Andrey
    2012 THIRD INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS: WHERE ENERGY, COMPUTING AND COMMUNICATION MEET (E-ENERGY), 2012,
  • [5] A new data mining strategy for performance evaluation of a shared energy recovery system integrated with data centres and district heating networks
    Du, Han
    Zhou, Xinlei
    Nord, Natasa
    Carden, Yale
    Ma, Zhenjun
    ENERGY, 2023, 285
  • [6] Energy-efficient virtual machine placement in data centres via an accelerated Genetic Algorithm with improved fitness computation
    Hormozi, Elham
    Hu, Shuwen
    Ding, Zhe
    Tian, Yu-Chu
    Wang, You-Gan
    Yu, Zu-Guo
    Zhang, Weizhe
    ENERGY, 2022, 252
  • [7] Waste heat recovery from urban air cooled data centres to increase energy efficiency of district heating networks
    Oro, Eduard
    Taddeo, Paolo
    Salom, Jaume
    SUSTAINABLE CITIES AND SOCIETY, 2019, 45 : 522 - 542