Details

Autor(en) / Beteiligte

• Bu, Tianqi
• Huang, Zanyu
• Zhang, Kairui
• Wang, Yang
• Song, Haobin
• Zhou, Jietong
• Ren, Zhangjun
• Liu, Sen

Titel

Task scheduling in the internet of things: challenges, solutions, and future trends

Ist Teil von

• Cluster computing, 2024-02, Vol.27 (1), p.1017-1046

Ort / Verlag

New York: Springer US

Erscheinungsjahr

2024

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The Internet of Things (IoT) paradigm, by transforming physical devices into innovative items, affects every aspect of our daily lives. It has brought a slew of evolutionary and revolutionary services that were almost impossible to imagine until recently. The numerous services and applications offered by IoT cover numerous fields, such as personal healthcare, urban life, energy management, and manufacturing. A tremendous amount of data is produced to reach valuable information and meet users’ needs. In addition, since the number of services and applications is increasing rapidly, an efficient method to fulfill the growing demands in different application domains becomes challenging. To handle the mentioned problems, task scheduling mechanisms have a significant influence. Despite the importance of these methods in the IoT, an in-depth and systematic review of the current works in this area is clearly lacking. Therefore, we aim to overcome this gap by adopting an organized manner. In fact, this paper aims to specify the challenging problems in IoT task scheduling, highlight the effective works, and outline some hints for upcoming studies.