UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Hierarchical Service Placement for Demanding Applications

Rio, MJG; Griffin, D; Phan, TK; Maini, E; (2016) Hierarchical Service Placement for Demanding Applications. In: 2016 IEEE Globecom Workshops (GC Wkshps). IEEE Green open access

[thumbnail of Rio_globecom.pdf]
Rio_globecom.pdf - Accepted Version

Download (1MB) | Preview


The increasing scale of cloud environments requires more scalable orchestration systems for determining which physical resources are responsible for processing service requests. A centralised service placement lacks scalability while a fully decentralised approach only has a limited view of the system. For these reasons, this paper investigates a hierarchical approach for service placement in a distributed environment, which increases scalability while maintains high service placement quality. First, we design a polynomial optimisation algorithm to place services in cloud data centers based on our novel utility function. Then, we describe a hierarchical model with the need to only know a small subset of the data required by the global optimisation formulation. Simulations show that our approach is scalable and performs well, close to the centralised model.

Type: Proceedings paper
Title: Hierarchical Service Placement for Demanding Applications
Event: 2016 IEEE Global Communications Conference (GLOBECOM)
Location: Washington DC, USA
Dates: 04 December 2016 - 08 December 2016
ISBN-13: 9781509013289
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/GLOCOMW.2016.7848922
Publisher version: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp...
Language: English
Additional information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: Scalability, Optimization, Quality of service, Cloud computing, Servers, Linear programming, Algorithm design and analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1523656
Downloads since deposit
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item