Fast replica recovery and adaptive consistency preservation for edge cloud system
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METHODOLOGIES AND APPLICATION
Fast replica recovery and adaptive consistency preservation for edge cloud system Jingjing Guo1 • Chunlin Li2 • Youlong Luo2
Ó Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Edge cloud extends the power of cloud computing to the edge of the devices that are closest to the demands of big connection, low latency and large bandwidth. However, there are still many challenges due to the dynamic, heterogeneous and real-time bandwidth of the node in the edge cloud environment. This paper studies dynamic replica creation, fast replica recovery and adaptive consistency preservation. Before solving the problem of data inconsistency caused by frequent updates of replicas, we consider the strategy of fast replica recovery. Firstly, the DRC-DS is based on the regional structure, considering the number of replicas and the creation location of the data process and copying the data information with high access frequency and long average response time. Moreover, the FRR-LB is based on the heat ranking of the replica, the source node and the target node are determined according to the double-cycle lookup structure. Besides, the ACP-IMP is proposed to solve the problem of replica consistency in the environment of high failure rate of network and node. The more certainty replica nodes are elected as the leaders of edge nodes, and the message transmission of reconfirmation is reduced. Keywords Edge cloud Replica creation Fast replica recovery Adaptive consistency preservation
1 Introduction 1.1 Background With the rapid development of 5G, the Internet of Things and the increasing popularity of cloud computing applications, the traditional cloud computing model that relies on centralized data centers can no longer meet the needs of the device ‘‘big connection, low latency, large bandwidth’’. Edge computing is a more reasonable evolution solution proposed after cloud computing for a larger number of devices and more complex computing requirements (Satyanarayanan 2017). Extend the ability of cloud computing to the edge side closest to the device and
Communicated by V. Loia. & Youlong Luo [email protected] 1
College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
2
Department of Computer Science, Wuhan University of Technology, Wuhan 430063, People’s Republic of China
configure the computing and storage capabilities for the edge nodes to implement the edge cloud (Tianfield 2018; Pan and McElhannon 2017). It reduces the computational load and service latency on the cloud and reduces bandwidth overhead across the network.
1.2 Motivation Nowadays, in order to further improve the data availability of edge cloud environment, data replication technology has become a research hot topic. The purpose is to establish a storage environment for information sharing and provide users with data storage services anytime and anywhere through the network. In the edge cloud environment, due to the dynamic, heterogen
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