Cloud Job Scheduling Using Deadline-Based Task Optimisation Algorithm in Internet of Things

Title

Cloud Job Scheduling Using Deadline-Based Task Optimisation Algorithm in Internet of Things

Creator

Shradha, V. Sai; Jayapandian, N.

Description

The cloud-based Internet of Things (IoT) gadgets are becoming increasingly significant in todays current environment. Thoroughly examining the ever-changing relationship among these two domains, this literature review sheds light on how the field of research is developing and how important both domains are to defining our digital future. The analysis delves into the various uses of cloud-based computing in conjunction with IoT devices, highlighting how these two technologies have the combined power to transform companies, improve productivity, and improve user experiences. Blending cloud-based resources with IoT has become essential for advancement, from connected houses to industrial automation. The article provides a detailed overview of the complexities involved in this merger, highlighting the importance of computing in the cloud in tackling issues like data protection, immediate analysis, and resource optimisation. This study also points out significant gaps in current understanding, highlighting the need for more investigation to fully realise the promise of cloud computing when combined with IoT devices. Essentially, this analysis of the literature highlights the critical role in determining the integration of cloud technology and IoT devices by giving a more efficient and optimal scheduling Deadline-Based Task scheduling algorithm, which has proved to have the least average waiting time of five units when compared to all the scheduling algorithms taken into consideration. The beginning of a new era characterised by connectivity and data-driven decision-making, and the key to realising the full potential of IoT applications is to comprehend and leverage the power of cloud technology. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Networks and Systems;Volume;1276;pp.115-126

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Cloud computing; Internet of things; Job scheduling; Privacy; Resource allocation; Security; Task optimisation

Coverage

Shradha V.S., Department of Computer Science and Engineering, Christ University, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-981962696-0;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-96-2697-7_8

https://www.scopus.com/pages/publications/105008651710?origin=resultslist