Key Technologies and challenges in IoT Edge Computing

In recent years, the tremendous growth of interconnected devices results in a new technology called Internet of Things (IoT). Cloud computing assists the IoT applications to store the data and perform computation in order to control and manage the vast amount of data generated by these IoT devices. But the major challenge in Cloud computing is to meet requirements of many real-time applications of Internet of Things. Whereas, Edge is a computing architecture that helps to communicate, manage, store, and processes the data that quickly returns the response. This is made possible by moving these functionalities closer to the end users. Edge computing and cloud computing are independent as wells as mutually beneficial to many applications. This paper discusses the overview of IoT, communication technologies and protocols required for IoT, data transfer in IoT. Cloud services to store, process and to analyze the data generated from IoT devices are explored.

[1]  David Hutchison,et al.  The Extended Cloud: Review and Analysis of Mobile Edge Computing and Fog From a Security and Resilience Perspective , 2017, IEEE Journal on Selected Areas in Communications.

[2]  Soumyalatha Naveen,et al.  In Search of the Future Technologies: Fusion of Machine Learning, Fog and Edge Computing in the Internet of Things , 2018, Lecture Notes on Data Engineering and Communications Technologies.

[3]  Xianbin Wang,et al.  Live Data Analytics With Collaborative Edge and Cloud Processing in Wireless IoT Networks , 2017, IEEE Access.

[4]  Artem Perepelitsyn,et al.  Edge computing for IoT: An educational case study , 2018, 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT).

[5]  Pasumpon Pandian A Dr,et al.  ENHANCED EDGE MODEL FOR BIG DATA IN THE INTERNET OF THINGS BASED APPLICATIONS , 2019, Journal of Trends in Computer Science and Smart Technology.

[6]  Massimo Ruo Roch,et al.  Edge Computing: A Survey On the Hardware Requirements in the Internet of Things World , 2019, Future Internet.

[7]  Alex Reznik,et al.  Mobile Edge Cloud System: Architectures, Challenges, and Approaches , 2018, IEEE Systems Journal.

[8]  Genya Ishigaki,et al.  Fog Computing: Towards Minimizing Delay in the Internet of Things , 2017, 2017 IEEE International Conference on Edge Computing (EDGE).

[9]  Jonathan E. Fieldsend,et al.  A Framework of Fog Computing: Architecture, Challenges, and Optimization , 2017, IEEE Access.

[10]  Cristian Martín Fernández,et al.  An Edge Computing Architecture in the Internet of Things , 2018, 2018 IEEE 21st International Symposium on Real-Time Distributed Computing (ISORC).

[11]  Enzo Baccarelli,et al.  Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study , 2017, IEEE Access.

[12]  Sachchidanand Singh Optimize cloud computations using edge computing , 2017, 2017 International Conference on Big Data, IoT and Data Science (BID).

[13]  Rama Murthy Garimella,et al.  Reliable and Fault-Tolerant IoT-Edge Architecture , 2018, 2018 IEEE SENSORS.

[14]  Rakesh Kumar Ambhati,et al.  Performance evaluation of ip wireless networks using two way active measurement protocol , 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[15]  Tao Zhang,et al.  Fog and IoT: An Overview of Research Opportunities , 2016, IEEE Internet of Things Journal.

[16]  Xuemin Shen,et al.  Securing Fog Computing for Internet of Things Applications: Challenges and Solutions , 2018, IEEE Communications Surveys & Tutorials.

[17]  Soumya Kanti Datta,et al.  An edge computing architecture integrating virtual IoT devices , 2017, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

[18]  Shangguang Wang,et al.  A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions , 2019, Wirel. Commun. Mob. Comput..

[19]  Chin-Teng Lin,et al.  Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment , 2018, IEEE Access.