LAMP: A Hybrid Fog-Cloud Latency-Aware Module Placement Algorithm for IoT Applications

• Published in: 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI) pp. 845 - 850
• Main Authors: Rezazadeh, Zahra, Rezaei, Mahboobe, Nickray, Mohsen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.02.2019
• Subjects: Cloud computing; Computational modeling; Delays; Edge computing; Fog computing; Healthcare; Internet of Things; Internet of Things (IoT); Medical services; module placement; resource management; Sensors
• DOI: 10.1109/KBEI.2019.8734958

The delay in the transmission of data to the cloud and their return impacts on applications performance. Hence, Fog computing with transferring the cloud services to the edge of the network causes to decrease the delay in services of applications such as healthcare, online games, and other IoT applications. Moreover, Fog computing reduces the cost and energy consumption of cloud data centers. One of the most important issues in fog computing is the placement of modules of IoT application on fog devices at the edge of the network to have a minimum of latency and the highest performance. In this paper, we propose a latency-aware module placement algorithm in Fog-Cloud environment, called LAMP, which is an exploratory algorithm for the optimal application modules placement into devices. LAMP provides less delay for IoT applications with reducing the distance between the host device modules. Consequently, improves the functionality of IoT applications. We use iFogsim simulator and evaluate the proposed algorithm compared to four strategies of placing in the fog-cloud environment. According to our results of the simulation, the efficiency of the proposed algorithm is guaranteed.