Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/9755
Title: | SLA information management through dependency digraphs: The case of cloud data services | Authors: | Stamou, Katerina Kantere, Verena M. Morin, Jean Henry Georgiou, Michael |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Directed graphs;Microcellular radio systems;Systems science;Cloud data | Issue Date: | 1-Jan-2014 | Source: | 47th Hawaii International Conference on System Sciences, HICSS 2014; Waikoloa, HI; United States; 6 January 2014 through 9 January 2014 | Abstract: | The paper addresses the issue of Service Level Agreement (SLA) data management for the cloud computing domain. We discuss the SLA anatomy and provide an analysis of SLA data management requirements. The analysis highlights SLA data aspects considering the association of SLA terms with service management operations. Our work proposes a simple, structured way to store and manage SLA information through a digraph data model that is modular, extensible and expressive with respect to data operational dependencies. The proposed SLA digraph considers properties of SLA terms and service component dependencies. We sketch a realistic dataservice provisioning scenario, where the proposed SLA digraph is applied. We illustrate the mapping of data service attributes into SLA terms and the role of edge properties in the definition of service dependencies. | URI: | https://hdl.handle.net/20.500.14279/9755 | ISBN: | 978-147992504-9 | DOI: | 10.1109/HICSS.2014.618 | Rights: | © 2014 IEEE. | Type: | Conference Papers | Affiliation : | Cyprus University of Technology University of Geneva |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
SCOPUSTM
Citations
50
2
checked on Nov 6, 2023
Page view(s) 50
387
Last Week
0
0
Last month
2
2
checked on Dec 3, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.