Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

A comparison framework and review of service brokerage solutions for cloud architectures

Fowley, Frank, Pahl, Claus orcid logoORCID: 0000-0002-9049-212X and Zhang, Li (2013) A comparison framework and review of service brokerage solutions for cloud architectures. In: 1st International Workshop on Cloud Service Brokerage (CSB 2013), 2-5 Dec 2013, Berlin, Germany.

Cloud service brokerage has been identified as a key concern for future cloud technology development and research. We compare service brokerage solutions. A range of specific concerns like architecture, programming and quality will be looked at. We apply a 2-pronged classification and comparison framework.We will identify challenges and wider research objectives based on an identification of cloud broker architecture concerns and technical requirements for service brokerage solutions. We will discuss complex cloud architecture concerns such as commoditisation and federation of integrated, vertical cloud stacks.
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Additional Information:https://sites.google.com/site/cloudbrokerworkshop/
Uncontrolled Keywords:Cloud Broker; Service Brokerage; Architecture Patterns; Cloud Broker Comparison; State-of-the-art Review; Research Challenges
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:Research Institutes and Centres > Irish Centre for Cloud Computing and Commerce (IC4)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland
ID Code:19640
Deposited On:04 Dec 2013 15:00 by Claus Pahl . Last Modified 21 Jan 2021 17:07

Full text available as:

[thumbnail of csb13.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record