期刊
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
卷 150, 期 -, 页码 155-183出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jpdc.2020.12.015
关键词
Mobile Edge Computing; Fog Computing; Classical virtualization; Network function Virtualization (NFV)
This article discusses the challenges faced by cloud computing paradigms in the era of IoT and the emergence of edge computing paradigms to address these challenges. It emphasizes the importance of virtualization techniques and factors influencing the selection of virtualization types in IoT frameworks. The research also compares state-of-the-art studies in the IoT domain and investigates the performance of deploying virtualized computing and networking resources in an edge-cloud environment.
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary devices to serve real-time applications, cloud computing paradigms face some significant challenges such as high latency and jitter, non-supportive location-awareness and mobility, and non-adaptive communication types. To address these challenges, edge computing paradigms, namely Fog Computing (FC), Mobile Edge Computing (MEC) and Cloudlet, have emerged to shift the digital services from centralized cloud computing to computing at edges. In this article, we analyze cloud and edge computing paradigms from features and pillars perspectives to identify the key motivators of the transitions from one type of virtualized computing paradigm to another one. We then focus on computing and network virtualization techniques as the essence of all these paradigms, and delineate why virtualization features, resource richness and application requirements are the primary factors for the selection of virtualization types in IoT frameworks. Based on these features, we compare the state-of-the-art research studies in the IoT domain. We finally investigate the deployment of virtualized computing and networking resources from performance perspective in an edge-cloud environment, followed by mapping of the existing work to the provided taxonomy for this research domain. The lessons from the reviewed are that the selection of virtualization technique, placement and migration of virtualized resources rely on the requirements of IoT services (i.e., latency, scalability, mobility, multi-tenancy, privacy, and security). As a result, there is a need for prioritizing the requirements, integrating different virtualization techniques, and exploiting a hierarchical edge-cloud architecture. (c) 2020 Elsevier Inc. All rights reserved.
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