Scientific Programming

Next-Generation Optimization Models and Algorithms in Cloud and Fog Computing


Publishing date
01 Jun 2022
Status
Closed
Submission deadline
28 Jan 2022

Lead Editor

1Manipal University Jaipur, Jaipur, India

2Sohar University, Sohar, Oman

This issue is now closed for submissions.
More articles will be published in the near future.

Next-Generation Optimization Models and Algorithms in Cloud and Fog Computing

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The new generation of computing optimization algorithms has enabled the introduction of machine learning and deep learning mechanisms. It comes with new promises of improvement in existing models. Cloud, Internet of Things (IoT), and fog computing deal with many such optimization models which can improve with an increase in the performance of the system. Many algorithms such as task allocation, virtual machine scheduling, migration algorithm, power-efficient systems, trust models, and scaling algorithm are some of the existing algorithms in cloud computing. They come with a great scope of performance improvement in the system that can be achieved using algorithms inspired by nature and the latest prediction algorithms.

However, existing algorithms in cloud and fog computing suffer from limited computing capabilities, high energy cost, high computation cost, low utilization, and efficiency without scaling features. To overcome these drawbacks, there is a need for further research in terms of improving models for better performance. Fortunately, artificial intelligence (AI) and machine learning (ML) technologies incorporating existing models provide a promising way toward next-generation algorithms with predictive methodology. Nevertheless, the integration of AI and ML with cloud and edge/fog techniques is still a critical issue that needs intensive research and tuning.

This Special Issue aims to bring together original research and review articles discussing optimization in cloud, IoT, and fog computing using AI, metaheuristic approaches, or nature-inspired algorithms. This Special Issue is looking for any optimization model which can improve the system performance using new generation algorithms using artificial intelligence, deep learning, or hybrid algorithms. Submissions are expected to discuss new approaches and emerging research areas.

Potential topics include but are not limited to the following:

  • Optimization algorithms for SAAS (Software as a Service) and PAAS (Platform as a Service)
  • ML and AI-based optimization approaches
  • Optimization in fog computing using AI/ML
  • Task scheduling optimization in cloud and fog computing
  • Cloud resource allocation
  • Cloud virtual machine optimization
  • Power-efficient algorithms in cloud and fog computing
  • Trust and fault aware algorithms in cloud and fog computing
  • Security protocols for cloud computing
  • Resource scaling in cloud computing
  • Bio-inspired algorithm for scheduling in cloud computing
  • Heuristic-based algorithm in cloud computing
  • Reliability in cloud computing
  • Architectures and systems in cloud computing
  • Hybrid cloud environment
  • Datacentre networking in cloud and fog computing
  • Fault tolerance and reliability of big data systems in cloud and fog computing

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 4841196
  • - Research Article

Cyber-Security and Social Media Risks Assessment by Using the Novel Concepts of Complex Cubic T-Spherical Fuzzy Information

Bushra Akram | Naeem Jan | ... | Naziha Al-Aidroos
  • Special Issue
  • - Volume 2022
  • - Article ID 2090681
  • - Research Article

Smart Healthcare: Disease Prediction Using the Cuckoo-Enabled Deep Classifier in IoT Framework

Ashwani Kumar | S. Sai Satyanarayana Reddy | ... | Rahul Sharma
  • Special Issue
  • - Volume 2022
  • - Article ID 5812546
  • - Research Article

Deep Reinforcement Learning for Stock Prediction

Junhao Zhang | Yifei Lei
  • Special Issue
  • - Volume 2022
  • - Article ID 8194140
  • - Review Article

Descriptive Literature Review and Classification of Community Cloud Computing Research

Nouf S. Aldahwan | Muhammed S. Ramzan
  • Special Issue
  • - Volume 2022
  • - Article ID 5649363
  • - Research Article

IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method

A. Suresh Kumar | S. Jerald Nirmal Kumar | ... | Rituraj Jain
  • Special Issue
  • - Volume 2022
  • - Article ID 4208749
  • - Research Article

Optimization of Electronic Data Investigation Mode Based on Intelligent Perception and Positioning Technology

Xin Zhang | Chao Cheng
  • Special Issue
  • - Volume 2022
  • - Article ID 3361027
  • - Research Article

A Global Optimization Algorithm for Intelligent Electromechanical Control System with Improved Filling Function

Shuguang Zhang | Kode Srividya | ... | Abdul Wahab Rahmani
  • Special Issue
  • - Volume 2022
  • - Article ID 7625465
  • - Research Article

COVID-19 Shocks, Monetary Policy, and Real Estate Price Volatility: Analysis Based on a Dynamic Stochastic General Equilibrium Perspective

Zhe Hou | Yu Song | Wen Xin
  • Special Issue
  • - Volume 2022
  • - Article ID 6438331
  • - Research Article

Securing E-Healthcare Images Using an Efficient Image Encryption Model

Jaishree Jain | Arpit Jain
  • Special Issue
  • - Volume 2022
  • - Article ID 7134983
  • - Research Article

Study on Risk Analysis and Decision-Making of Small- and Medium-Sized Enterprises on BP Neural Network Algorithm

Yongyi Li | Jing Lu | ... | Kexin Cao
Scientific Programming
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Acceptance rate50%
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