Browse by author
Lookup NU author(s): Professor Raj Ranjan
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2020 ACM. Recent 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.
Author(s): Zeng X, Garg S, Barika M, Zomaya AY, Wang L, Villari M, Chen D, Ranjan R
Publication type: Article
Publication status: Published
Journal: ACM Computing Surveys
Year: 2020
Volume: 53
Issue: 3
Print publication date: 01/06/2020
Acceptance date: 01/02/2020
ISSN (print): 0360-0300
ISSN (electronic): 1557-7341
Publisher: Association for Computing Machinery
URL: https://doi.org/10.1145/3383464
DOI: 10.1145/3383464
Altmetrics provided by Altmetric
