File(s) under permanent embargo
SLA management for big data analytical applications in clouds: a taxonomy study
journal contribution
posted on 2023-05-20, 20:55 authored by Zeng, X, Saurabh GargSaurabh Garg, Barika, M, Zomaya, AY, Wang, L, Villari, M, Chen, D, Ranjan, RRecent years have witnessed the booming of big data analytical applications (BDAAs). This trend provides unrivaled opportunities to reveal the latent patterns and correlations embedded in the data, and thus productive decisions may be made. This was previously a grand challenge due to the notoriously high dimensionality and scale of big data, whereas the quality of service offered by providers is the first priority. As BDAAs are routinely deployed on Clouds with great complexities and uncertainties, it is a critical task to manage the service level agreements (SLAs) so that a high quality of service can then be guaranteed. This study performs a systematic literature review of the state of the art of SLA-specific management for Cloud-hosted BDAAs. The review surveys the challenges and contemporary approaches along this direction centering on SLA. A research taxonomy is proposed to formulate the results of the systematic literature review. A new conceptual SLA model is defined and a multi-dimensional categorization scheme is proposed on its basis to apply the SLA metrics for an in-depth understanding of managing SLAs and the motivation of trends for future research.
History
Publication title
ACM Computing SurveysVolume
53Article number
46Number
46Pagination
1-40ISSN
0360-0300Department/School
School of Information and Communication TechnologyPublisher
Assoc Computing MachineryPlace of publication
1515 Broadway, New York, USA, Ny, 10036Rights statement
© 2020 Association for Computing MachineryRepository Status
- Restricted