Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …
on-demand service, and security. A large number of tasks are performed simultaneously in a …
An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve
In this paper, a new strategy is developed to plan the smooth path for mobile robots through
an improved PSO algorithm in combination with the continuous high-degree Bezier curve …
an improved PSO algorithm in combination with the continuous high-degree Bezier curve …
Modified firefly algorithm for workflow scheduling in cloud-edge environment
Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …
Things. This technology brings computing resources closer to the location where they are …
A two-stage estimation of distribution algorithm with heuristics for energy-aware cloud workflow scheduling
Y **e, XY Wang, ZJ Shen, YH Sheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the enormous increase in energy usage by cloud data centers for handling various
workflow applications, the energy-aware cloud workflow scheduling has become a hot …
workflow applications, the energy-aware cloud workflow scheduling has become a hot …
An adaptive decoding biased random key genetic algorithm for cloud workflow scheduling
Y **e, Y Sheng, M Qiu, F Gui - Engineering applications of artificial …, 2022 - Elsevier
With the ever-growing data and computing requirements, more and more scientific and
business applications represented by workflows have been moved or are in active transition …
business applications represented by workflows have been moved or are in active transition …
Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT
More and more enterprises and communities choose cloud computing platforms to deploy
their commercial or scientific workflow applications along with the increasing popularity of …
their commercial or scientific workflow applications along with the increasing popularity of …
Multiobjective cloud workflow scheduling: A multiple populations ant colony system approach
Cloud workflow scheduling is significantly challenging due to not only the large scale of
workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing …
workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing …
Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing
Workflow scheduling is a largely studied research topic in cloud computing, which targets to
utilize cloud resources for workflow tasks by considering the objectives specified in QoS. In …
utilize cloud resources for workflow tasks by considering the objectives specified in QoS. In …
Improved many-objective particle swarm optimization algorithm for scientific workflow scheduling in cloud computing
S Saeedi, R Khorsand, SG Bidgoli… - Computers & Industrial …, 2020 - Elsevier
Optimized scientific workflow scheduling can greatly improve the overall performance of
cloud computing. As workflow scheduling belongs to NP-complete problem, so, meta …
cloud computing. As workflow scheduling belongs to NP-complete problem, so, meta …