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Fog computing

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Fog computing

  1. 1. FOG COMPUTING J.HariPriyanka (11G21A0546) Presented by
  2. 2. Contents: 1.What is fog computing? 2.What is need for fog computing? 3.Limitations overcome from cloud. 4.Cloud v/s fog 5.Applications 6.conclusion
  3. 3. What is fog computing? • Fog computing, also known as fogging/edge computing, it is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud. • The term "Fog Computing" was introduced by the Cisco Systems as new model to ease wireless data transfer to distributed devices int he Internet of Things (IoT) network paradigm
  4. 4. • That concentration means that data can be processed locally in smart devices rather than being sent to the cloud for processing. Fog computing is one approach to dealing with the demands of the ever-increasing number of Internet-connected devices sometimes referred to as the Internet of Things (IoT).
  5. 5. Fog computing is a term for placing some of transactions and resources at the edge of the cloud, rather than establishing channels for cloud storage and utilization. Fog computing reduces the need for bandwidth by not sending every bit of information over cloud channels, and instead aggregating it at certain access points. By using this kind of distributed strategy, we can lower costs and improve efficiencies.
  6. 6. What is the need for fog computing? • Fog Computing extends the cloud computing paradigm to the edge of the network. While fog and cloud use the same resources (networking, compute, and storage) and share many of the same mechanisms and attributes (virtualization, multi-tenancy) the extension is a non-trivial one in that there exist some fundamental differences stemming from the reason fog computing was developed: to address applications and services that do not fit the paradigm of the cloud
  7. 7. • Fog Computing Keeps Data Right Where the Internet of Things Needs it
  8. 8. Limitations of cloud: • cloud computing has so many advantages, it also suffers from certain shortcomings too. • High capacity(bandwidth) • Client access link. • High latency • security
  9. 9. Limitations overcomes in fog: • reduction in data movement across the network resulting in reduced congestion • elimination of bottlenecks resulting from centralized computing systems • improved security of encrypted data as it stays closer to the end user
  10. 10. CLOUD VS FOG: Requirement Cloud computing Fog computing Latency high low Delay jitter High Very low Location of server nodes With in internet At the edge of local n/w Distance between the clie nt and server Multiple hops One hop Security Undefined Can be defined Attack on data enrouter High probability Very Less probability Location awareness No Yes
  11. 11. Requirement Cloud computing Fog computing Geographicaldistribution Centralized Distributed No. of server nodes Few Very large Support for Mobility Limited Supported Real time interactions Supported Supported Type of last mile connecti vity Leased line Wireless Continued………
  12. 12. Applications of fog: • Tech giants Cisco and IBM are the driving forces behind fog computing, and link their concept to the emerging Internet of Things (IoT). • Most of the buzz around fog has a direct correlation with the emergence of the Internet of Things (IoT)
  13. 13. Connected cars: Fog computing is ideal for Connected Vehicles (CV) because real-time interactions will make communications between cars, access points and traffic lights as safe and efficient as possible
  14. 14. Smart grids: Fog computing allows fast, machine-to-machine (M2M) handshakes and human to machine interactions (HMI), which would work in cooperation with the cloud
  15. 15. • Smart cities: Fog computing would be able to obtain sensor data on all levels, and integrate all the mutually independent network entities within
  16. 16. • Health care: The cloud computing market for healthcare is expected to reach $5.4 billion by 2017, and fog computing would allow this on a more localized level.
  17. 17. Conclusion:Conclusion: • fog computing will grow in helping the emerging network paradigms that require faster processing with less delay and delay ji tter ,cloud computing would serve the business community meeting their high end computing demands lowering the cost based on a utility pricing model
  18. 18. • REFERENCES: • K.Hashizume, D.G. Rosado, E.Fernández-Medina,and E.B. Fernandez, "An analysis of security issues for cloud computing," • Journal of Internet Services and Applications • , vol.4, no.5, pp. 1--13, 2013. • • M.M. Islam, S.Morshed, and P.Goswami, "Cloud computing: A survey on its limitations and potential solutions," • International Journal of Computer Science Issues • , vol.10, no.4, pp. 159--163, 2013. • • F.Bonomi, R.Milito, J.Zhu, and S.Addepalli, "Fog computing and its role in the Internet of Things," in • ACM SIGCOMM Workshop on Mobile cloud Computing • , Helsinki, Finland, 2012, pp. 13--16
  19. 19. Thank you

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