Two Objectives Big Data task Scheduling using Swarm Intelligence in Cloud Computing

Diallo, Laouratou; Hashim, Aisha Hassan Abdalla; Olanrewaju, Rashidah Funke; Islam, Shayla; Zarir, Abdullah Ahmad

doi:10.17485/ijst/2016/v9i28/96635

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Cited by 4 publications

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“…In addition, this could increase the bandwidth, energy efficiency and as consequent the cost. Even though, some optimization algorithms [9] are used sometimes in order to minimize the resources, it can still fail to find the optimum solution.…”

Section: An Example Of Simulationmentioning

confidence: 99%

The Rise of Internet of Things and Big Data on the Cloud: Challenges and Future Trends

Diallo¹,

Hashim

Salami³

et al. 2017

IJFGCN

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Section: An Example Of Simulationmentioning

confidence: 99%

The Rise of Internet of Things and Big Data on the Cloud: Challenges and Future Trends

Diallo¹,

Hashim

Salami³

et al. 2017

IJFGCN

Self Cite

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Classified scheduling algorithm of big data under cloud computing

Zhang

2017

International Journal of Computers and Applications

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SLA Management for Big Data Analytical Applications in Clouds

et al. 2020

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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.

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Two Objectives Big Data task Scheduling using Swarm Intelligence in Cloud Computing

Cited by 4 publications

References 0 publications

The Rise of Internet of Things and Big Data on the Cloud: Challenges and Future Trends

The Rise of Internet of Things and Big Data on the Cloud: Challenges and Future Trends

Classified scheduling algorithm of big data under cloud computing

SLA Management for Big Data Analytical Applications in Clouds

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