UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
A Novel Approach To Classify Cloud Entities: Universal Cloud Classification (UCC)
  • Publication Type:
    Conference
  • Authors:
    Jeuk S, Salgueiro G, Zhou S
  • Publisher:
    IEEE
  • Publication date:
    07/05/2015
  • Place of publication:
    Shenzhen, China
  • Pagination:
    801, 804
  • Published proceedings:
    Proceedings of 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
  • Volume:
    15
  • Series:
    IEEE/ACM International Symposium on Cluster Cloud and Grid Computing (CCGrid)
  • Editors:
    Balaji P,Xu CZ,Fan J,Katz D
  • ISBN-13:
    9781479980062
  • Status:
    Published
  • Name of conference:
    15th IEEE ACM International Symposium on Cluster Cloud and Grid Computing (CCGrid 2015)
  • Conference place:
    Shenzhen, PEOPLES R CHINA
  • Conference start date:
    04/05/2015
  • Conference finish date:
    07/05/2015
  • Print ISSN:
    2376-4414
  • Language:
    English
  • Keywords:
    Science & technology, technology, computer science, hardware & architecture, computer science, information systems, computer science, software engineering, computer science, service isolation, tenant isolation, provider isolation, data center, classification, cloud computing.
Abstract
One of the fundamental requirements of Cloud Computing is the capability to provide scalable, transparent and isolated networks. This is achieved by using L2 segmentation via 802.1Q VLANs or overlay approaches such as 802.1ad, VxLAN, ”Stateless Transport Tunneling” (STT) or ”Network Virtualization using Generic Routing Encapsulation” (NVGRE). All of these technologies struggle to provide the required level of scalability, flexibility, performance and network isolation within a Data Center. Research efforts in the area of classification have fundamentally approached these challenges by introducing identifiers for segmentation or providing overlay solutions to tunnel traffic. However, these research approaches are too specific without tackling the actual Cloud Computing classification challenges. Here, we investigate classification approaches with the goal of introducing a scalable, optional, hierarchical, end-to-end and transparent Layer 3 provider, service and tenant isolation scheme. This proposal addresses major challenges and limitations of current cloud classification schemes by offering these five advantages: (1) hierarchical endto-end classification, (2) transparency to upper-layer protocols, (3) optional for en-route and endpoint evaluation, (4) flexibility, and (5) improved performance over current overlay technologies. The solution proposal will be implemented and evaluated based on its feasibility, functionality, performance and usability in cloud-related use-cases.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Computer Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by