این اسلایدها جهت ارائه سمینار درس رایانش ابری دانشگاه تربیت مدرس (استاد درس: دکتر دری) تهیه شده اند.

1. Cloud and Edge Networking
Technologies
Sudabeh Mohamadi
1

2. Title: Cloud and Edge Networking Technologies
By: Sudabeh Mohamadi
Directed by: Sadegh Dorri N.
07 JUN 2020
2

3. Table of content
• Introduction
• Inter Cloud Networking
• Intra Cloud Networking
• SDN and NFV in Cloud Networking
• Edge Networking
• Cloud Networking for Big Data
3

4. Introduction
4

5. Cloud Networking Model
Efficient communication between all of the
servers, and associated storage within the cloud
data center, relies on advanced data center
networking technology.
 Inter cloud networking
 Intra cloud networking
( Lee 2014) 5

6. Inter cloud networking
• Cloud of clouds
• Benefits
– Diverse Geographical locations
– Better application resilience
– Avoiding vendor lock-in
Expand-on-demand
Better service level agreement
6Rani et al. 2015

7. Inter cloud classification
7

8. Types of Federation Cloud
8

9. Types of Multi Cloud
9

10. Intra cloud networking
10

11. Intra cloud networking
11

12. Cloud Networking Architecture
12(Murray et al. 2012)

13. Characteristics of Cloud Networking
 Ethernet usage
 Virtualization
 Convergence
 Scalability
 Software
(Lee 2014)
13

14. Ethernet usage
• Classic Category 5 (Cat5) copper cabling
– 1Gbit Ethernet (1GbE) connections
– Low cost and long reach
• Low-cost Category 6 (Cat6) copper cables
– 10Gbit Ethernet (10GbE)
– Interconnect standard 10GBase-T
– Distances up to 100 m 14
(low-cost cabling technology)

15. Virtualization
15

16. Convergence
• Separate networks for storage and data
– require a large number of separate switches and
cables
– data center bridging standards
16

17. Scalability
• Open Compute Project
sponsored by:
• Facebook
• Original Equipment Manufacturers
(OEMs)
• Original Design Manufactures (ODMs).
17

18. Software
Set up
Configure
Monitore
18

19. SDN and Cloud Networking
flexible and customizable networking controlling and
management
 software to manage virtual machines
 software to manage storage
 software to manage the network
 software to manage functions like network security
(Lee 2014) 19

20. Software Defined Data Center
(Lee 2014) 20

21. NFV and Cloud Networking
(Lee 2014)
Network functions virtualization (NFV) is a
network architecture concept that uses the
technologies of IT virtualization to virtualize
entire classes of network node functions into
building blocks that may connect, or chain
together, to create communication services.
21

22. NFV Applications
• Network security
• Load balancing
• Network monitoring
• Implementation
22

23. NFV Architecture
(Zhang and Chen 2016) 23

24. Edge Computing and Networking
• Computing and storage capacity are provided by the distributed “edge DCs”.
• Traffic of some applications might be able to be served at network edge
• Can avoid traveling long distances to centralized cloud DCs.
• Can reduce the amount of traffic to the cloud
• Can decrease the transmission latency of network connectivity.
• Can also help avoiding links and nodes at high risk of congestion, disruption, and
cyber-attack. (Zhao et al. 2019) 24

25. Edge Computing and Networking
25

26. Cloud
Networking
Architecture
(With the consideration of big
data)
26

27. SDN and NFV frameworks
27

28. Open stack
• Compute (Nova)
• Object storage (Swift)
• Block storage (Cinder)
• Networking (Neutron)
• (Dashboard) (Horizon)
• …
28

29. Openflow
29

30. Big Data Batch Processing
framework
• Hadoop
• DIYAD
• Spark
30

31. Hadoop
• Apache Hadoop is a framework that
supports processing of large data sets
across clusters of computers using simple
programming models.
• offering powerful computation and
storage abilities
• The main modules:
– Hadoop distributed file system (HDFS)
– MapReduce.
31

32. Big Data Stream Processing
framework
HAMR
32

33. Storm
33

34. References
1. Lee, G. (2014). Cloud networking: Understanding cloud-based data center networks. Morgan Kaufmann.
2. Zeng, D., Gu, L., & Guo, S. (2015). Cloud Networking for Big Data. Springer.
3. Zhao, Y., Wang, W., Li, Y., Meixner, C. C., Tornatore, M., & Zhang, J. (2019). Edge computing and networking: A survey on
infrastructures and applications. IEEE Access, 7, 101213-101230.
4. Rani, B. K., Rani, B. P., & Babu, A. V. (2015). Cloud computing and inter-clouds–types, topologies and research issues. Procedia
Computer Science, 50, 24-29.
5. Zhang, Y., Chen, M. (2016), Cloud Based 5G Wireless Networks, chapter 2: cloud-based networking, Springer,Briefs in Computer
Science, DOI 10.1007/978-3-319-47343-7_2
6. Murray, P., Sefidcon, A., Steinert, R., Fusenig, V., & Carapinha, J. (2012, July). Cloud networking: An infrastructure service
architecture for the wide area. In 2012 Future Network & Mobile Summit (FutureNetw) (pp. 1-8). IEEE.
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35. References
6. Azodolmolky, S., Wieder, P., & Yahyapour, R. (2013). Cloud computing networking: Challenges and opportunities for innovations. IEEE
Communications Magazine, 51(7), 54-62.
7. Bitar, N., Gringeri, S., & Xia, T. J. (2013). Technologies and protocols for data center and cloud networking. IEEE Communications
Magazine, 51(9), 24-31.
8. Mechtri, M., Zeghlache, D., Zekri, E., & Marshall, I. J. (2013, November). Inter and intra Cloud Networking Gateway as a service.
In 2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) (pp. 156-163). IEEE.
9. Mechtri, M., Houidi, I., Louati, W., & Zeghlache, D. (2013, November). SDN for inter cloud networking. In 2013 IEEE SDN for Future
Networks and Services (SDN4FNS) (pp. 1-7). IEEE.
10. Mechtri, M., Zeghlache, D., Zekri, E., & Marshall, I. J. (2013, December). Inter-cloud networking gateway architecture. In 2013 IEEE 5th
International Conference on Cloud Computing Technology and Science (Vol. 2, pp. 188-194). IEEE.
11. Karagiannis, G., Jamakovic, A., Edmonds, A., Parada, C., Metsch, T., Pichon, D., ... & Bohnert, T. M. (2014, May). Mobile cloud
networking: Virtualisation of cellular networks. In 2014 21st international conference on telecommunications (ICT) (pp. 410-415). IEEE.35

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