Paper Info
Title
iDiSC: A New Approach to IoT-Data-Intensive Service Components Deployment in Edge-Cloud-Hybrid System.
Abstract
With the rapid development of big data technology and the Internet, the requirements of human activities for data are getting higher and higher, and the increasing data volume has a high demand for data processing. The paradigm of the Internet of Things (IoT) has become a key component for edge-cloud-hybrid systems. In the edge environment, multiple IoT-data-intensive services will form a service combination. Due to the data transmission between different service components, there is a huge transmission delay in the process of IoT data transmission, which will affect the performance of the entire system. Therefore, by regarding the reduction of transmission delay as our optimization goal, we put forward iDiSC: a new heuristic approach for IoT-data-intensive service component deployment in the edge-cloud-hybrid system. We also design the iDiSC model, then we optimize the model to select the optimal deployment scenario with the minimum guaranteed latency. Through a series of experiments, compared to the genetic algorithm and the simulated annealing algorithm, the experimental results show that the iDiSC algorithm has higher efficiency and performance for the problem of data-intensive service component deployment problem in the edge-cloud-hybrid environment.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2915020
IEEE ACCESS
Keywords
Field
DocType
Service deployment,edge computing,cloud computing,Internet of Things (IoT),data-intensive service,big data
Software deployment,Computer science,Internet of Things,Computer network,Hybrid system,Distributed computing,Cloud computing
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Xiaowei Chen110812.32
Songtao Tang221.04
ZhiHui Lu317916.74
Jie Wu412112.58
Yucong Duan521038.30
Shih-Chia Huang665742.31
Qifeng Tang700.34