Distributed Systems Meet Cloud Computing: A Review of Convergence and Integration

ZS Ageed, SRM Zeebaree - … of Intelligent Systems and Applications in …, 2024 - ijisae.org
Conventional cloud computing, in which processing, storage, and networking resources are
hosted in one or a few centralised data centres, has been made unsuitable as a result of the …

[HTML][HTML] Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment

S Mangalampalli, GR Karri, SN Mohanty, S Ali… - Scientific Reports, 2023 - nature.com
Cloud Computing model provides on demand delivery of seamless services to customers
around the world yet single point of failures occurs in cloud model due to improper …

[HTML][HTML] Machine learning-driven task scheduling with dynamic K-means based clustering algorithm using fuzzy logic in FOG environment

MS Sheikh, RN Enam, RI Qureshi - Frontiers in Computer Science, 2023 - frontiersin.org
Fog Computing has emerged as a pivotal technology for enabling low-latency, context-
aware, and efficient computing at the edge of the network. Effective task scheduling plays a …

D-PFA: A Discrete Metaheuristic Method for Solving Traveling Salesman Problem Using Pathfinder Algorithm

P Pirozmand, AAR Hosseinabadi, MJ Chari… - IEEE …, 2023 - ieeexplore.ieee.org
The Traveling Salesman Problem (TSP) which is a theoretical computer science and
operations research problem, has several applications even in its purest formulation, such …

[HTML][HTML] A Novel Hybrid MSA-CSA Algorithm for Cloud Computing Task Scheduling Problems

S Alsubai, H Garg, A Alqahtani - Symmetry, 2023 - mdpi.com
Recently, the dynamic distribution of resources and task scheduling has played a critical role
in cloud computing to achieve maximum storage and performance. The allocation of …

Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA

SVA Kumer, N Prabakaran, E Mohan… - IEEE …, 2023 - ieeexplore.ieee.org
Dynamic and flexible computing resources are offered by cloud computing (CC), which has
gained popularity as a computing technology. Efficient task scheduling (TS) plays a critical …

Task scheduling approach in fog and cloud computing using Jellyfish Search (JS) optimizer and Improved Harris Hawks optimization (IHHO) algorithm enhanced by …

Z Jafari, A Habibizad Navin, A Zamanifar - Cluster Computing, 2024 - Springer
Scheduling tasks is a pivotal and practical action within the fog and cloud layers. This study
introduces a two-tier task scheduling approach with improved version of the Harris Hawk …

Tournament based equilibrium optimization for minimizing energy consumption on dynamic task scheduling in cloud-edge computing

A Souri, SE Mood, M Gao, KC Li - Cluster Computing, 2024 - Springer
With the increasing advancements in the Internet of Things (IoT) and the growing production
of tasks by IoT devices, the demand for cloud computing centers has become more critical …

Multi-objective Prioritized Task Scheduler using improved Asynchronous advantage actor critic (a3c) algorithm in multi cloud environment

S Mangalampalli, GR Karri, SN Mohanty, S Ali… - IEEE …, 2024 - ieeexplore.ieee.org
Task scheduling is a crucial challenge in cloud computing paradigm as variety of tasks with
different runtime processing capacities generated from various heterogeneous devices are …

A parallel multi-objective imperialist competitive algorithm to solve the load offloading problem in mobile cloud computing

S Alipour, H Saadatfar, MK Poor - Neural Computing and Applications, 2023 - Springer
Cloud computing is a modern architecture for performing complex and immense processes.
It consists of configurable computational resource sets that communicate with each other …