Nature inspired meta-heuristic algorithms for solving the load-balancing problem in cloud environments

ST Milan, L Rajabion, H Ranjbar… - Computers & Operations …, 2019 - Elsevier
In a cloud environment, the aim of using optimal resources can be achieved using a load-
balancing technique. The load-balancing technique assigns a set of requests into a set of …

Dynamic cloud task scheduling based on a two-stage strategy

PY Zhang, MC Zhou - IEEE Transactions on Automation …, 2017 - ieeexplore.ieee.org
To maximize task scheduling performance and minimize nonreasonable task allocation in
clouds, this paper proposes a method based on a two-stage strategy. At the first stage, a job …

An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm

SMG Kashikolaei, AAR Hosseinabadi, B Saemi… - The Journal of …, 2020 - Springer
Cloud computing is an Internet-based approach in which all applications and files are
hosted in a cloud consisting of thousands of computers that are linked in complex ways. The …

Scalable parallel task scheduling for autonomous driving using multi-task deep reinforcement learning

Q Qi, L Zhang, J Wang, H Sun, Z Zhuang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) as a promising application of Internet of Things (IoT) has
played a significant role in autonomous driving, by connecting intelligent vehicles …

[HTML][HTML] An extended intelligent water drops algorithm for workflow scheduling in cloud computing environment

S Elsherbiny, E Eldaydamony, M Alrahmawy… - Egyptian informatics …, 2018 - Elsevier
Cloud computing is emerging as a high performance computing environment with a large
scale, heterogeneous collection of autonomous systems and flexible computational …

Local government IT implementation issues: a challenge for public administration

S Beaumaster - Proceedings of the 35th annual Hawaii …, 2002 - ieeexplore.ieee.org
This paper addresses the issues affecting information technology development and
deployment. The issues represented are addressed in the context of IT implementation …

FUSION—fog computing and blockchain for trusted industrial internet of things

A Ceccarelli, M Cinque, C Esposito… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT) is currently foreseen as a foundation to implement the
Industry 4.0 vision. However, device heterogeneity and the need of integration and …

Scheduling of independent tasks in cloud computing using modified genetic algorithm

S Singh, M Kalra - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
Cloud computing is a provider of dynamic services which offers readily elastic on demand
computing resources as per the customer's request in economical way. As there are a lot of …

QoS-aware genetic cloud brokering

GF Anastasi, E Carlini, M Coppola, P Dazzi - Future Generation Computer …, 2017 - Elsevier
The broad diffusion of Cloud Computing has fostered the proliferation of a large number of
cloud computing providers. The need of Cloud Brokers arises for hel** consumers in …

A hybrid genetic algorithm for the degree-constrained minimum spanning tree problem

K Singh, S Sundar - Soft Computing, 2020 - Springer
Given an undirected, connected, edge-weighted graph G and a positive integer d, the
degree-constrained minimum spanning tree (dc-MST) problem aims to find a minimum …