Task scheduling mechanisms in cloud computing: A systematic review

Amini Motlagh, A ; Sharif University of Technology | 2020

310 Viewed
  1. Type of Document: Article
  2. DOI: 10.1002/dac.4302
  3. Publisher: John Wiley and Sons Ltd , 2020
  4. Abstract:
  5. Today, cloud computing has developed as one of the important emergent technologies in communication and Internet. It offers on demand, pay per use access to infrastructure, platforms, and applications. Due to the increase in its popularity, the huge number of requests need to be handled in an efficient manner. Task scheduling as one of the challenges in the cloud computing supports the requests for assigning a particular resource so as to perform effectively. In the resource management, task scheduling is performed where there is the dependency between tasks. Many approaches and case studies have been developed for the scheduling of these tasks. Up to now, a systematic literature review (SLR) has not been presented to discover and evaluate the task scheduling approaches in the cloud computing environment. To overcome, this paper presents an SLR-based analysis on the task scheduling approaches that classify into (a) single cloud environments that evaluate cost-aware, energy-aware, multi-objective, and QoS-aware approaches in task scheduling; (b) multicloud environment that evaluates cost-aware, multi-objective, and QoS-aware task scheduling; and (c) mobile cloud environment that is energy-aware and QoS-aware task scheduling. The analytical discussions are provided to show the advantages and limitations of the existing approaches. © 2019 John Wiley & Sons, Ltd
  6. Keywords:
  7. QoS ; task scheduling ; Cloud computing ; Cost benefit analysis ; Multitasking ; Power management ; Quality of service ; Scheduling algorithms ; Cloud computing environments ; Emergent technologies ; Multi objective ; Resource management ; Single clouds ; Systematic literature review (SLR) ; Systematic review ; Task-scheduling ; Scheduling
  8. Source: International Journal of Communication Systems ; Volume 33, Issue 6 , 2020
  9. URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/dac.4302