An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations

Author:

Stavrinides Georgios L.ORCID,Karatza Helen D.

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference50 articles.

1. Performance evaluation of a SaaS cloud under different levels of workload computational demand variability and tardiness bounds;Stavrinides;Simul. Model. Pract. Theory,2019

2. Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing;Beloglazov;Future Gener. Comput. Syst.,2012

3. An overview of energy efficiency techniques in cluster computing systems;Valentini;Cluster Comput.,2013

4. The impact of workload variability on the energy efficiency of large-scale heterogeneous distributed systems;Stavrinides;Simul. Model. Pract. Theory,2018

5. Slack reclamation for real-time task scheduling over dynamic voltage scaling multiprocessors;Chen,2006

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