Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/32239
Title: Providing Quality of Service on Services Selection Using Anycast Techniques
Authors: Adami, L. J.
Estrella, J. C.
De Oliveira, E. M.
Reiff- Marganiec, Stephan
First Published: 2-Jul-2014
Presented at: IEEE International Conference on Services Computing (SCC) (2014), Anchorage, AK
Start Date: 27-Jun-2014
End Date: 2-Jul-2014
Publisher: IEEE
Abstract: Over the last years, the complexity and variety of services available on the Internet increased. This fact is leading to the search for efficient techniques of routing client requests to the best server available. A known technique is the application layer anycast (ALA). The main goal of this work is to elaborate efficient ways to provide ALA with quality of service in the context of cloud computing. To achieve this goal, we proposed a new algorithm (GALA, Global Application Layer Anycast). It inherits characteristics from another existing system (GAA, Global Application-layer Anycast), and uses geolocation as a differential. The results of the experiments show that GALA, compared to the inherited algorithm, maintains the client requests efficiencies and substantially lowers their latencies.
DOI Link: 10.1109/SCC.2014.46
ISBN: 978-1-4799-5065-2
Links: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6930546
http://hdl.handle.net/2381/32239
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Archived with reference to SHERPA/RoMEO and publisher website. © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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