Cloudlet Dwell Time Model and Resource Availability for Vehicular Fog Computing

Hossain, Tahmid; Grande, Robson E. De

doi:10.1109/ds-rt52167.2021.9576148

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Some approaches of scheduling tried to predict certain aspects such as time a vehicle will spend under an RSU and assign resources accordingly. [51] 5 Resource Allocation in VANETs: Trends and Challenges 5.1 Road side units RSU(Road Side Units) are a great way to distribute and take advantage of short range computational and communication offload. [52] These are infrastructure units close to vehicles meant for offloading and enabling network traffic and or computational tasks.…”

Section: Schedulingmentioning

confidence: 99%

Resource Allocation Methods in Vanets:a Systematic Literature Review

Trombly

Alsmadi

2023

Preprint

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Autonomous vehicles take on a more prominent part of our every day life activities. As the number of vehicles grows so does the need for resources to ensure safe and consistent operations of these vehicles. Today's networks and power grid are already used heavily just supplying resources for our day to day lives and leisure. The continuous increase in demand for such resources drives the need for more advanced resource management tools and techniques and more precise resource allocation schemes. This paper is a systematic literature review on the current methods and research trends for resource allocation in vehicular networks. The purpose of this review is to understand current research trends and motivations. Our hope is to provide a comparative analysis of resource allocation solutions, research trends and also challenges in vehicular networks.

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Section: Schedulingmentioning

confidence: 99%

Resource Allocation Methods in Vanets:a Systematic Literature Review

Trombly

Alsmadi

2023

Preprint

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“…A hybrid system that combines Mobile Edge Computing (MEC) and Software-Defined Systems (SDSys) for constructing ubiquitous MEC where many local controllers are connected by a global controller [23]. Cloud computing is used to mitigate resource management via sharing device resources among users [24].…”

Section: B Related Workmentioning

confidence: 99%

A Fog Computing Framework in IoT Healthcare Environment: Towards A New Method Based on Tasks Significance

Shanshool¹,

Abbas²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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The Internet-of-Things (IoT) is an important technology and is considered the future of the Internet. Healthcare is described as one of the important areas in IoT used for remote patient monitoring. Real-time remote monitoring health applications are important as delays in data transfer between the cloud, and the application may be unacceptable. Fog computing refers to a geographically distributed computing system with several devices connected to the same network to achieve flexible and collaborative computation, storage, and communication services. Fog computing is mainly used for efficient data processing between sensors and cloud computing as it reduces the volume of data exchanged between sensors and the cloud, thereby improving the whole system's efficiency. Wireless sensor networks (WSN) are also used in health monitoring systems to simultaneously transfer huge data volumes (of different priority levels and length values) to the fog computing system. Hence, there is a need to appropriately implement a task scheduling mechanism that can accurately prioritize tasks irrespective of their length. This study aims to systematically review the existing fog computing technologies in the Internet of things HealthCare (IoTH) systems and improve the performance of the available static task scheduling algorithms using the Tasks Classification (TC) method where task importance is paramount. The performance of the suggested approach was evaluated based on the Max-Min scheduling algorithm (SA).

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