Geodesic
Hierarchical edge computing
Modelirovanie i analiz informacionnyh sistem, Tome 26 (2019) no. 1, pp. 146-169.

Voir la notice de l'article provenant de la source Math-Net.Ru

The computing paradigm based on the giant-like DC is replaced by a new paradigm. The urgency of this shift is caused by the requirements of new applications that actively use video, real-time interactivity, new mobile communication technologies, which today cannot be implemented without the usage of cloud computing and virtualization based on SDN technologies. The presentation considers the requirements dictated by these applications, outlines the architecture of this new paradigm which we call Hierarchical Edge Computing (HEC). Attention is focused on the fact that all these applications are distributed, become more and more real-time applications and require guaranteed quality of service in the networking operation. The main scientific problems that need to be solved for implementing this new paradigm are discussed.
Keywords: SDN, NFV, fog computing, cloud computing, data center, mobile edge computing. 
@article{MAIS_2019_26_1_a10,
     author = {R. L. Smelyansky},
     title = {Hierarchical edge computing},
     journal = {Modelirovanie i analiz informacionnyh sistem},
     pages = {146--169},
     publisher = {mathdoc},
     volume = {26},
     number = {1},
     year = {2019},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MAIS_2019_26_1_a10/}
}
TY  - JOUR
AU  - R. L. Smelyansky
TI  - Hierarchical edge computing
JO  - Modelirovanie i analiz informacionnyh sistem
PY  - 2019
SP  - 146
EP  - 169
VL  - 26
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/MAIS_2019_26_1_a10/
LA  - ru
ID  - MAIS_2019_26_1_a10
ER  - 
%0 Journal Article
%A R. L. Smelyansky
%T Hierarchical edge computing
%J Modelirovanie i analiz informacionnyh sistem
%D 2019
%P 146-169
%V 26
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/MAIS_2019_26_1_a10/
%G ru
%F MAIS_2019_26_1_a10
R. L. Smelyansky. Hierarchical edge computing. Modelirovanie i analiz informacionnyh sistem, Tome 26 (2019) no. 1, pp. 146-169. http://geodesic.mathdoc.fr/item/MAIS_2019_26_1_a10/

[1] Bilal K., et al., “Trends and challenges in cloud datacenters”, IEEE Cloud Computing, 1:1 (2014), 10–20, IEEE | DOI

[2] Bilal K., et al., “A taxonomy and survey on Green Data Center Networks”, Future Generation Computer Systems, 36 (2014), 189–208 | DOI

[3] Bilal K., Khan S.U., Zomaya A.Y., “Green Data Center Networks: Challenges and Opportunities”, IEEE Conference on Frontiers of Information Technology, IEEE, 2013, 229–234 | MR

[4] Bilal K., et al., “A survey on green communications using adaptive link rate”, Cluster Computing, 16:3 (2013), 575–589 | DOI

[5] Chen Zhuo, et al., “Early implementation experience with wearable cognitive assistance applications”, Proceedings of the 2015 workshop on Wearable Systems and Applications, ACM, 2015, 33–38 | DOI

[6] Shi Weisong, et al., “Edge computing: Vision and challenges”, IEEE Internet of Things Journal, 3:5 (2016), 637–646 | DOI

[7] Cisco Global Cloud Index: Forecast and Methodology, 2016-2021, https://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/white-paper-c11-738085.html

[8] 4 Vs of Big Data, http://www.ibmbigdatahub.com/sites/default/files/infographic_file/4-Vs-of-big-data.jpg

[9] Bonorni F., et al., “Fog computing and its role in the internet of things”, Proceedings of the first edition of the MCC workshop T Mobile cloud computing (Helsinki, Finland), 2012, 13–16

[10] Brown B., Microsoft researcher: Why Micro Datacenters really matter to mobile's future, http://www.networkworld.com/article/2979570/cloud-computing/microsoft-researcher-why-micro-datacenters-really-matter-to-mobiles-future.html

[11] Satyanarayanan M., et al., “The Case for VM-Based Cloudlets in Mobile Computing”, IEEE Pervasive Computing, 8:4 (2009), 14–23 | DOI

[12] Aazam M., Huh E., “Dynamic resource provisioning through fog micro datacenter”, The 12th IEEE International Workshop on Managing Ubiquitous Communications and Services (2015), 105–110

[13] Aazam M., Huh E., “Fog computing micro datacenter based dynamic resource estimation and pricing model for IoT”, The 29th IEEE International Conference on Advanced Information Networking and Applications, AINA-15, IEEE, 2015, 687–694

[14] Jararweh Y., et al., “The future of mobile cloud computing: Integrating cloudlets and Mobile Edge Computing”, 2016 23rd International Conference on Telecommunications, ICT, IEEE, 2016

[15] Green Clouds, http://www.greenclouds.in/views-and-resources/high-performance-websites/

[16] Giordano A., Spezzano G., Vinci A., “Smart agents and fog computing for smart city applications”, International Conference on Smart Cities, Springer, 2016, 137–146

[17] Cortes R., et al., “Stream processing of healthcare sensor data: studying user traces to identify challenges from a big data perspective”, Procedia Computer Science, 52 (2015), 1004–1009 | DOI

[18] Costenaro D., Duer A., “The megawatts behind your megabytes: going from data-center to desktop”, 2012 ACEEE Summer Study on Energy Efficiency in Buildings, 2012

[19] Cisco Data in Motion, https://www.cisco.com/c/m/en_us/solutions/data-center-virtualization/data-motion.html

[20] MicroDC Solution, https://actfornet.com/HUAWEI_CLOUD_COMPUTING/Huawei

[21] Mobile Edge Computing, http://www.etsi.org/technologies-clusters/technologies/mobile-edge-computing

[22] Akamai, https://blogs.akamai.com/2016/07/portugal-france-sets-live-sportsstreaming-record-on-akamai.html

[23] Wang Meisong, et al., “An overview of cloud based content delivery networks: research dimensions and state-of-the-art”, Transactions on Large-Scale Data-and Knowledge-Centered Systems XX, Springer, 2015, 131–158 | MR

[24] Chu Weibo, et al., “Network delay guarantee for differentiated services in content-centric networking”, Computer Communications, 76 (2016), 54–66 | DOI

[25] Wang Rui, et al., “Mobility-aware caching for content-centric wireless networks: Modeling and methodology”, IEEE Communications Magazine, 54:8 (2016), 77–83, IEEE | DOI

[26] Ahmed Syed Hassan, Bouk Safdar Hussain, Kim Dongkyun, Content-Centric Networks: An Overview, Applications and Research Challenges, Springer, 2016, 108 pp.

[27] Gao Ying, et al., Are cloudlets necessary?, Tech. Rep. CMU-CS-15-139, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 USA, 2015

[28] Bilal K., et al., “Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers”, Computer Networks, 130 (2018), 94–120 | DOI

[29] TOSCA Simple Profile in YAML Version 1.2, http://docs.oasis-open.org/tosca/TOSCA-Simple-Profile-YAML/v1.2/csprd01/TOSCA-Simple-Profile-YAML-v1.2-csprd01.pdf

[30] Nygren E., Sitaraman R.K., Sun J., “The akamai network: a platform for high-performance internet applications”, ACM SIGOPS Operating Systems Review, 44:3 (2010), 2–19 | DOI

[31] Data Never Sleeps 2.0, https://www.domo.com/learn/data-never-sleeps-2

[32] Erl T., Service-oriented architecture: concepts, technology, and design, 2005

[33] Antonenko V., et al., “C2: General Purpose Cloud Platform with NFV Life-Cycle Management”, 2017 IEEE International Conference on Cloud Computing Technology and Science, CloudCom, IEEE, 2017, 353–356

[34] Petrov I. S., “Mathematical model for predicting forwarding rule counter values in SDN”, Young Researchers in Electrical and Electronic Engineering, 2018 IEEE Conference of Russian EIConRus, IEEE, 2018, 1313–1317

[35] Petrov I., Morgunova O., “Forwarding Rule Minimization for Network Statistics Analysis in SDN”, 2018 International Scientific and Technical Conference Modern Computer Network Technologies, MoNeTec, IEEE, 2018, 1–6

[36] Cox J.H., et al., “Advancing software-defined networks: A survey”, IEEE Access, 5 (2017), 25487–25526 | DOI

[37] Chemeritskiy E., Stepanov E., Smeliansky R., “Managing network resources with flow (de) multiplexing protocol”, Mathematical and Computational Methods in Electrical Engineering, Recent Advances in Electrical Engineering Series, 53, 2015, 35–43