Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- ArticleSeptember 2024
NFTO: DAG-Based Task Offloading and Energy Optimization Algorithm
Algorithmic Aspects in Information and ManagementPages 16–27https://doi.org/10.1007/978-981-97-7798-3_2AbstractMobile Edge Computing emerges as a key technology to address the challenges of real-time data processing by extending computing capabilities to the network edge, reducing latency, and enhancing service reliability. Existing research often ...
- articleSeptember 2024
Task Scheduling Strategy for 3DPCP Considering Multidynamic Information Perturbation in Green Scene
Journal of Global Information Management (JGIM), Volume 32, Issue 1Pages 1–23https://doi.org/10.4018/JGIM.351156The 3D printing cloud platform (3DPCP) plays a pivotal role in breaking down the information silos between supply and demand, effectively reducing waste through information integration and intelligent production. However, due to the complexity of 3DPCP ...
- research-articleJuly 2024
Optimizing Task Scheduling in Cloud Computing: An Enhanced Shortest Job First Algorithm
- Yellamma Pachipala,
- Kavya Sri Sureddy,
- A.B.S. Sriya Kaitepalli,
- Nagalakshmi Pagadala,
- Sai Satwik Nalabothu,
- Mihir Iniganti
Procedia Computer Science (PROCS), Volume 233, Issue CPages 604–613https://doi.org/10.1016/j.procs.2024.03.250AbstractIn the dynamic landscape of cloud computing, efficient task scheduling plays a pivotal role in optimizing resource utilization and enhancing overall system performance. This research introduces a groundbreaking approach to task scheduling in cloud ...
- ArticleNovember 2023
Task Scheduling with Improved Particle Swarm Optimization in Cloud Data Center
Neural Information ProcessingPages 277–287https://doi.org/10.1007/978-981-99-8067-3_21AbstractThis paper proposes an improved particle swarm optimization algorithm with simulated annealing (IPSO-SA) for the task scheduling problem of cloud data center. The algorithm uses Tent chaotic mapping to make the initial population more evenly ...
- ArticleJanuary 2024
Chaotic Particle Swarm Algorithm for QoS Optimization in Smart Communities
Green, Pervasive, and Cloud ComputingPages 251–265https://doi.org/10.1007/978-981-99-9896-8_17AbstractIn smart communities, computer networks carry a large number of real-time computing tasks such as smart property, smart parking, smart home, etc., and these services are characterized by large data transmission and high concurrency, which require ...
-
- research-articleJune 2023
DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing
- Sudheer Mangalampalli,
- Ganesh Reddy Karri,
- Mohit Kumar,
- Osama Ibrahim Khalaf,
- Carlos Andres Tavera Romero,
- GhaidaMuttashar Abdul Sahib
Multimedia Tools and Applications (MTAA), Volume 83, Issue 3Pages 8359–8387https://doi.org/10.1007/s11042-023-16008-2AbstractTask scheduling in cloud paradigm brought attention of all researchers as it is a challenging issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size, processing capacity and number of tasks to be scheduled. ...
- articleJune 2023
Performance Evaluation of Hybrid Meta-Heuristics-Based Task Scheduling Algorithm for Energy Efficiency in Fog Computing
International Journal of Cloud Applications and Computing (IJCAC-IGI), Volume 13, Issue 1Pages 1–16https://doi.org/10.4018/IJCAC.324758Task scheduling in fog computing is one of the areas where researchers are having challenges as the demand grows for the use of internet of things (IoT) to access cloud computing resources. Many resource scheduling and optimization algorithms were ...
- research-articleJune 2023
An efficient multi-objective scheduling algorithm based on spider monkey and ant colony optimization in cloud computing
Cluster Computing (KLU-CLUS), Volume 27, Issue 2Pages 1799–1819https://doi.org/10.1007/s10586-023-04018-6AbstractDue to easier access, improved performance, and lower costs, the use of cloud services has increased dramatically. However, cloud service providers are still looking for ways to complete users’ jobs at a high speed to increase profits and reduce ...
- research-articleMarch 2023
Mobility Aware-Task Scheduling and Virtual Fog for Offloading in IoT-Fog-Cloud Environment
Wireless Personal Communications: An International Journal (WPCO), Volume 130, Issue 2Pages 801–836https://doi.org/10.1007/s11277-023-10310-wAbstractThe Internet of Things (IoT) is an emerging technology that provides services to any smart device at any place. Due to the large volume of data and dynamicity, the IoT environment faces challenges in terms of overloading and energy consumption. To ...
- research-articleFebruary 2023
Multi objective trust aware task scheduling algorithm in cloud computing using whale optimization
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 35, Issue 2Pages 791–809https://doi.org/10.1016/j.jksuci.2023.01.016AbstractTask Scheduling is an enormous challenge in cloud computing model as to map diverse tasks arises from various sources there should be an efficient scheduling mechanism which provision resources dynamically to users based on their ...
- research-articleFebruary 2023
Improvement of tasks scheduling algorithm based on load balancing candidate method under cloud computing environment
Expert Systems with Applications: An International Journal (EXWA), Volume 212, Issue Chttps://doi.org/10.1016/j.eswa.2022.118714Highlights- The BCSV algorithm can assign tasks efficiently in heterogeneous environments.
- The main idea is to apply the SSV, LSV, and CSV values as the scheduling factors.
- The BCSV algorithm has better results in load balance than the existed ...
In recent years, cloud computing has become an ideal way to provide different types of applications. It can provide the processing, storage, web services, development platforms, and databases to enable the companies to scale their infrastructure ...
- research-articleJanuary 2023
Task scheduling in cloud environment: optimization, security prioritization and processor selection schemes
Journal of Cloud Computing: Advances, Systems and Applications (JOCCASA), Volume 12, Issue 1https://doi.org/10.1186/s13677-022-00374-7AbstractCloud computing is an extremely important infrastructure used to perform tasks over processing units. Despite its numerous benefits, a cloud platform has several challenges preventing it from carrying out an efficient workflow submission. One of ...
- research-articleJanuary 2023
Optimizing Energy Consumption on Smart Home Task Scheduling using Particle Swarm Optimization
Procedia Computer Science (PROCS), Volume 220, Issue CPages 195–201https://doi.org/10.1016/j.procs.2023.03.027AbstractThe primary challenge that smart home users faced is the high energy consumption bills they received every month and they do not know how to optimize the energy consumption of their smart home devices. This increases the country's energy demand ...
- ArticleFebruary 2024
DDDAS-Based Learning for Edge Computing at 5G and Beyond 5G
Dynamic Data Driven Applications SystemsPages 135–143https://doi.org/10.1007/978-3-031-52670-1_13AbstractThe emerging and foreseen advancements in 5G and Beyond 5G (B5G) networking infrastructures enhance both communications capabilities and the flexibility of executing computational tasks in a distributed manner, including those encountered in edge ...
- articleSeptember 2022
TS2LBDP: Design of an Improved Task-Side SLA Model for Efficient Task Scheduling via Bioinspired Deadline-Aware Pattern Analysis
International Journal of Intelligent Information Technologies (IJIIT-IGI), Volume 18, Issue 3Pages 1–13https://doi.org/10.4018/IJIIT.309586Few scheduling, models focus on service-level agreement (SLA) enforcement, which limits their real-time applicability. Thus, this research work proposes the design of an improved task-side service level (TS2L) agreement model for efficient task-...
- articleSeptember 2022
An Efficient Fog Layer Task Scheduling Algorithm for Multi-Tiered IoT Healthcare Systems
International Journal of Reliable and Quality E-Healthcare (IJRQEH), Volume 11, Issue 4Pages 1–11https://doi.org/10.4018/IJRQEH.308802IoT-based healthcare systems are becoming popular due to the extreme benefits patients, families, physicians, hospitals, and insurance companies are getting. Cloud is used traditionally for almost every IoT application, but cloud located far away from ...
- research-articleSeptember 2022
Analysis of workflow schedulers in simulated distributed environments
The Journal of Supercomputing (JSCO), Volume 78, Issue 13Pages 15154–15180https://doi.org/10.1007/s11227-022-04438-yAbstractTask graphs provide a simple way to describe scientific workflows (sets of tasks with dependencies) that can be executed on both HPC clusters and in the cloud. An important aspect of executing such graphs is the used scheduling algorithm. Many ...
- articleAugust 2022
Taxonomy of Load Balancing Practices in the Cloud Computing Paradigm
International Journal of Information Retrieval Research (IJIRR-IGI), Volume 12, Issue 3Pages 1–15https://doi.org/10.4018/IJIRR.300292Rapid growth in communication technology allows users location-independent access to IT infrastructure at pay-per-use via cloud computing. This has paved a new paradigm in information processing for the consumers. Due to Cloud's inherent ...
- research-articleOctober 2022
Cloud Task Scheduling Algorithms using Teaching-Learning-Based Optimization and Jaya Algorithm
IC3-2022: Proceedings of the 2022 Fourteenth International Conference on Contemporary ComputingPages 106–113https://doi.org/10.1145/3549206.3549227Over the last few years, cloud computing has accelerated in the economic and scientific communities due to breakthroughs in virtualization technology. It is an emerging computing technology in which many users submit their requirements (i.e., compute, ...