Abstract
The Internet of Things (IoT) is rapidly growing and provides the foundation for the development of smart cities, smart home, and health care. With more and more devices connecting to the Internet, huge amounts of data are produced, creating a great challenge for data processing. Traditional cloud computing has the problems of long delays. Edge computing is an extension of cloud computing, processing data at the edge of the network can reduce the long processing delay of cloud computing. Due to the limited computing resources of edge servers, resource management of edge servers has become a critical research problem. However, the structural characteristics of the subtask chain between each pair of sensors and actuators are not considered to address the task scheduling problem in most existing research. To reduce processing latency and energy consumption of the edge-cloud system, we propose a multilayer edge computing system. The application deployed in the system is based on directed digraph. To fully use the edge servers, we proposed an application module placement strategy using Simulated Annealing module Placement (SAP) algorithm. The modules in an application are bounded to each sensor. The SAP algorithm is designed to find a module placement scheme for each sensor and to generate a module chain including the mapping of the module and servers for each sensor. Thus, the edge servers can transmit the tuples in the network with the module chain. To evaluate the efficacy of our algorithm, we simulate the strategy in iFogSim. Results show the scheme is able to achieve significant reductions in latency and energy consumption.
Highlights
IntroductionSmart devices (such as smart cameras, drones, and virtual reality terminals) are normally equipped with sensors and remote actuators and have the ability to sense the environment and actuate the remote signal [1]
Smart devices are normally equipped with sensors and remote actuators and have the ability to sense the environment and actuate the remote signal [1]
(3) The performance of the application module placement strategy based on the Simulated Annealing Placement (SAP) algorithm is evaluated through experiments
Summary
Smart devices (such as smart cameras, drones, and virtual reality terminals) are normally equipped with sensors and remote actuators and have the ability to sense the environment and actuate the remote signal [1]. To make full use of edge servers in the edge computing network and meet the real-time requirement of future IoT applications, we need to reduce the processing latency and avoid the wasting of edge computation resources. Based on these needs, the major contributions of this paper are summarized as follows:. Edge servers in the same cluster communicate with each other through the Simple Network Management Protocol (SNMP) In this architecture, the cloud computing center processes computing tasks only when the edge servers are overloaded (3) The performance of the application module placement strategy based on the Simulated Annealing Placement (SAP) algorithm is evaluated through experiments.
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