[HTML][HTML] A review of metaheuristic scheduling techniques in cloud computing
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 …
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 …
increasing tremendously with the development of new applications. Load balancing is an …
Computational models and heuristic methods for Grid scheduling problems
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 …
resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the …
Energy efficient direction-based PDORP routing protocol for WSN
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 …
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 …
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 …
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
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 …
reduce execution time while allowing for maximum parallelization. The algorithm is based …
[PDF][PDF] A discrete particle swarm optimization approach for grid job scheduling
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 …
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
While modern parallel computing systems offer high performance, utilizing these powerful
computing resources to the highest possible extent demands advanced knowledge of …
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 …
various fields and in order to satisfy this need a new technology known as cloud computing …