Journal ArticleDOI
Scheduling Internet of Things requests to minimize latency in hybrid Fog–Cloud computing
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This work introduces a customized implementation of the genetic algorithm (GA) as a heuristic approach to schedule the IoT requests to achieve the objective of minimizing the overall latency.About:
This article is published in Future Generation Computer Systems.The article was published on 2020-10-01. It has received 138 citations till now. The article focuses on the topics: Cloud computing & Scheduling (computing).read more
Citations
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Journal ArticleDOI
A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things
TL;DR: A many-objective intelligent algorithm with sine function is presented to implement the model, which considers the variation tendency of diversity strategy in the population is similar to the sinefunction, and demonstrates excellent scheduling efficiency and hence enhancing the security.
Journal ArticleDOI
IoT and Cloud Computing Issues, Challenges and Opportunities: A Review
Mohammed A. M. Sadeeq,Nasiba M. Abdulkareem,Subhi R. M. Zeebaree,Dindar Mikaeel Ahmed,Ahmed Saifullah Sami,Rizgar R. Zebari +5 more
TL;DR: IoT and cloud computing are researched and addressed and cloud-compatible problems and computing techniques are addressed to promote the stable transition of IoT programs to the cloud.
Journal ArticleDOI
Edge-Computing Architectures for Internet of Things Applications: A Survey
TL;DR: This paper studies, in-depth, edge-computing architectures for IoT (ECAs-IoT), and then classifies them according to different factors such as data placement, orchestration services, security, and big data, and recommends four different scenarios for using ECAs- IoT by IoT applications.
Journal ArticleDOI
A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing
TL;DR: A taxonomy of task offloading in edge-cloud environments is proposed to investigate and classify related research articles, and several challenges which have not been addressed for future research directions on this area to promote the development of edge- cloud market are summarized.
Journal ArticleDOI
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments
TL;DR: An alternative task scheduling technique for IoT requests in a cloud-fog environment based on a modified artificial ecosystem-based optimization (AEO), called AEOSSA, which demonstrates the high ability to tackle the task scheduling problem and perform better than other methods according to the performance metrics.
References
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Journal ArticleDOI
Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Proceedings ArticleDOI
Fog computing and its role in the internet of things
TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
Journal ArticleDOI
Genetic Algorithms and Machine Learning
TL;DR: There is no a priori reason why machine learning must borrow from nature, but many machine learning systems now borrow heavily from current thinking in cognitive science, and rekindled interest in neural networks and connectionism is evidence of serious mechanistic and philosophical currents running through the field.
Journal ArticleDOI
Branch-and-Bound Methods: A Survey
Eugene L. Lawler,D. E. Wood +1 more
TL;DR: The essential features of the branch-and-bound approach to constrained optimization are described, and several specific applications are reviewed, including integer linear programming Land-Doig and Balas methods, nonlinear programming minimization of nonconvex objective functions, and the quadratic assignment problem Gilmore and Lawler methods.
Proceedings ArticleDOI
A Survey of Fog Computing: Concepts, Applications and Issues
Shanhe Yi,Cheng Li,Qun Li +2 more
TL;DR: The definition of fog computing and similar concepts are discussed, representative application scenarios are introduced, and various aspects of issues the authors may encounter when designing and implementing fog computing systems are identified.
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