[HTML][HTML] A review of metaheuristic scheduling techniques in cloud computing

M Kalra, S Singh - Egyptian informatics journal, 2015 - Elsevier
Cloud computing has become a buzzword in the area of high performance distributed
computing as it provides on-demand access to shared pool of resources over Internet in a …

Load balancing algorithms in cloud computing: A survey of modern techniques

S Aslam, MA Shah - 2015 National software engineering …, 2015 - ieeexplore.ieee.org
Cloud computing has become popular due to its attractive features. The load on the cloud is
increasing tremendously with the development of new applications. Load balancing is an …

Computational models and heuristic methods for Grid scheduling problems

F Xhafa, A Abraham - Future generation computer systems, 2010 - Elsevier
In this paper we survey computational models for Grid scheduling problems and their
resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the …

Energy efficient direction-based PDORP routing protocol for WSN

GS Brar, S Rani, V Chopra, R Malhotra, H Song… - IEEE …, 2016 - ieeexplore.ieee.org
Energy consumption is one of the constraints in wireless sensor networks (WSNs). The
routing protocols are the hot areas to address quality-of-service (QoS) related issues, viz …

Bio-inspired workflow scheduling on HPC platforms

M Kaur, S Kadam - Tehnički glasnik, 2021 - hrcak.srce.hr
Sažetak Efficient scheduling of tasks in workflows of cloud or grid applications is a key to
achieving better utilization of resources as well as timely completion of the user jobs. Many …

GA-based task scheduler for the cloud computing systems

Y Ge, G Wei - 2010 International conference on web information …, 2010 - ieeexplore.ieee.org
Task scheduling problems are of paramount importance which relate to the efficiency of the
whole cloud computing facilities. In Hadoop, the open-source implementation of …

A multi-objectives scheduling algorithm based on cuckoo optimization for task allocation problem at compile time in heterogeneous systems

M Akbari, H Rashidi - Expert Systems with Applications, 2016 - Elsevier
To handle scheduling of tasks on heterogeneous systems, an algorithm is proposed to
reduce execution time while allowing for maximum parallelization. The algorithm is based …

[PDF][PDF] A discrete particle swarm optimization approach for grid job scheduling

H Izakian, BT Ladani, A Abraham… - … Journal of Innovative …, 2010 - isda05.softcomputing.net
Scheduling is one of the core steps to efficiently exploit the capabilities of emergent
computational systems such as grid. Grid environment is a dynamic, heterogeneous and …

Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review

S Memeti, S Pllana, A Binotto, J Kołodziej, I Brandic - Computing, 2019 - Springer
While modern parallel computing systems offer high performance, utilizing these powerful
computing resources to the highest possible extent demands advanced knowledge of …

[PDF][PDF] An improved grey wolf optimization algorithm based task scheduling in cloud computing environment.

G Natesan, A Chokkalingam - Int. Arab J. Inf. Technol., 2020 - iajit.org
The demand for massive computing power and storage space has been escalating in
various fields and in order to satisfy this need a new technology known as cloud computing …