Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

SHH Madni, MS Abd Latiff, M Abdullahi… - PloS one, 2017 - journals.plos.org
Cloud computing infrastructure is suitable for meeting computational needs of large task
sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be …

Fault-tolerant scheduling for real-time scientific workflows with elastic resource provisioning in virtualized clouds

X Zhu, J Wang, H Guo, D Zhu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Clouds are becoming an important platform for scientific workflow applications. However,
with many nodes being deployed in clouds, managing reliability of resources becomes a …

Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments

WJ Wang, YS Chang, WT Lo, YK Lee - The Journal of Supercomputing, 2013 - Springer
A hybrid cloud integrates private clouds and public clouds into one unified environment. For
the economy and the efficiency reasons, the hybrid cloud environment should be able to …

FESTAL: Fault-tolerant elastic scheduling algorithm for real-time tasks in virtualized clouds

J Wang, W Bao, X Zhu, LT Yang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
As clouds have been deployed widely in various fields, the reliability and availability of
clouds become the major concern of cloud service providers and users. Thereby, fault …

DEFT: Dynamic fault-tolerant elastic scheduling for tasks with uncertain runtime in cloud

H Yan, X Zhu, H Chen, H Guo, W Zhou, W Bao - Information Sciences, 2019 - Elsevier
With the widespread use of clouds, the reliability and efficiency of cloud have been the main
concerns of the service providers and users. Thus, fault tolerance has become a hotspot in …

Blending roulette wheel selection with simulated annealing for job shop scheduling problem

S Chakraborty, S Bhowmik - 2015 - IET
The Job Shop Scheduling Problem (known as JSSP) is a wellknown and one of the difficult
combinatorial optimization problems and treated as a member of NP-complete problem …

Managing deadline-constrained bag-of-tasks jobs on hybrid clouds

B Wang, Y Song, Y Sun, J Liu - arXiv preprint arXiv:1604.08335, 2016 - arxiv.org
Outsourcing jobs to a public cloud is a cost-effective way to address the problem of satisfying
the peak resource demand when the local cloud has insufficient resources. In this paper, we …

Multi-objective energy optimization in grid systems from a brain storming strategy

M Arsuaga-Ríos, MA Vega-Rodríguez - Soft Computing, 2015 - Springer
Nowadays, companies are more aware of an environmentally responsible use of
computational resources. Terms like Green Computing promote energy savings in large …

An incentive-based heuristic job scheduling algorithm for utility grids

H Xu, B Yang - Future Generation Computer Systems, 2015 - Elsevier
Job scheduling in utility grids should take into account the incentives for both grid users and
resource providers. However, most of existing studies on job scheduling in utility grids only …

[PDF][PDF] Managing deadline-constrained bag-of-tasks jobs on hybrid clouds with closest deadline first scheduling

B Wang, Y Song, Y Sun, J Liu - KSII Transactions on Internet and …, 2016 - koreascience.kr
Outsourcing jobs to a public cloud is a cost-effective way to address the problem of satisfying
the peak resource demand when the local cloud has insufficient resources. In this paper, we …