Abstract
The proliferation of the Internet of Things and the success of rich cloud services have pushed the horizon of a new computing paradigm, Edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as the data safety and privacy. In this book, we introduce the definition of Edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative Edge to materialize the concept of Edge computing. Finally, we present several challenges and opportunities in the field of Edge computing and hope this book will gain attention from the community and inspire more research in this direction.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica et al., “A view of cloud computing,” Communications of the ACM, vol. 53, no. 4, pp. 50–58, 2010.
S. Ghemawat, H. Gobioff, and S.-T. Leung, “The google file system,” in ACM SIGOPS operating systems review, vol. 37, no. 5. ACM, 2003, pp. 29–43.
J. Dean and S. Ghemawat, “Mapreduce: simplified data processing on large clusters,” Communications of the ACM, vol. 51, no. 1, pp. 107–113, 2008.
K. Shvachko, H. Kuang, S. Radia, and R. Chansler, “The hadoop distributed file system,” in Mass Storage Systems and Technologies (MSST), 2010 IEEE 26th Symposium on. IEEE, 2010, pp. 1–10.
M. Zaharia, M. Chowdhury, M. J. Franklin, S. Shenker, and I. Stoica, “Spark: cluster computing with working sets,” in Proceedings of the 2nd USENIX conference on Hot topics in cloud computing, vol. 10, 2010, p. 10.
K. Ashton, “That ‘internet of thing’ thing,” RFiD Journal, vol. 22, no. 7, pp. 97–114, 2009.
H. Sundmaeker, P. Guillemin, P. Friess, and S. Woelfflé, “Vision and challenges for realising the internet of things,” 2010.
J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of things (iot): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
“Cisco global cloud index: Forecast and methodology, 2014–2019 white paper,” 2014.
“IDC futurescape: Worldwide internet of things 2016 predictions,” 2015.
D. Evans, “The internet of things: How the next evolution of the internet is changing everything,” CISCO white paper, vol. 1, p. 14, 2011.
A. Greenberg, J. Hamilton, D. A. Maltz, and P. Patel, “The cost of a cloud: research problems in data center networks,” ACM SIGCOMM computer communication review, vol. 39, no. 1, pp. 68–73, 2008.
E. Cuervo, A. Balasubramanian, D.-k. Cho, A. Wolman, S. Saroiu, R. Chandra, and P. Bahl, “Maui: making smartphones last longer with code offload,” in Proceedings of the 8th international conference on Mobile systems, applications, and services. ACM, 2010, pp. 49–62.
M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, “The case for vm-based cloudlets in mobile computing,” Pervasive Computing, IEEE, vol. 8, no. 4, pp. 14–23, 2009.
F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, “Fog computing and its role in the internet of things,” in Proceedings of the first edition of the MCC workshop on Mobile cloud computing. ACM, 2012, pp. 13–16.
“Boeing 787s to create half a terabyte of data per flight, says virgin atlantic,” https://datafloq.com/read/self-driving-cars-create-2-petabytes-data-annually/172.
“Self-driving cars will create 2 petabytes of data, what are the big data opportunities for the car industry?” http://www.computerworlduk.com/news/data/boeing-787s-create-half-terabyte-of-data-per-flight-says-virgin-atlantic-3433595/.
“Data never sleeps 2.0,” https://www.domo.com/blog/2014/04/data-never-sleeps-2-0/.
“Openfog architecture overview,” OpenFog Consortium Architecture Working Group, 2016.
S. Yi, Z. Hao, Z. Qin, and Q. Li, “Fog computing: Platform and applications,” in Hot Topics in Web Systems and Technologies (HotWeb), 2015 Third IEEE Workshop on. IEEE, 2015, pp. 73–78.
K. Ha, Z. Chen, W. Hu, W. Richter, P. Pillai, and M. Satyanarayanan, “Towards wearable cognitive assistance,” in Proceedings of the 12th annual international conference on Mobile systems, applications, and services. ACM, 2014, pp. 68–81.
B.-G. Chun, S. Ihm, P. Maniatis, M. Naik, and A. Patti, “Clonecloud: elastic execution between mobile device and cloud,” in Proceedings of the sixth conference on Computer systems. ACM, 2011, pp. 301–314.
“Apache edgent,” http://edgent.apache.org/.
“Openstack,” https://www.openstack.org/edge-computing/.
“Edgex foundry,” https://www.edgexfoundry.org/.
“macchina.io,” https://macchina.io//.
“Iotracks,” https://iotracks.com/.
“Azure iot edge,” https://azure.microsoft.com/en-in/services/iot-edge/.
“Aws greengrass,” https://aws.amazon.com/greengrass/.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Cao, J., Zhang, Q., Shi, W. (2018). Introduction. In: Edge Computing: A Primer. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-02083-5_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-02083-5_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02082-8
Online ISBN: 978-3-030-02083-5
eBook Packages: Computer ScienceComputer Science (R0)