Fog ppt

Fog ppt

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  FOG COMPUTING PRESENTED BY, SABAFARHEEN MUNSHI UNDER THE GUIDANCE OF, PROF. V SASWADE SHRI SHIVAJI INSTITUTE OF ENGINEERING AND MANAGEMENT STUDIES
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  CONTENTS:  Abstract.  Introduction. Existing System  Disadvantages  Proposed System with Advantages  Cloud verses Fog Computing  Conclusion.  Future Enhancement.  References.
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  ABSTRACT: Fog Computing isa paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. Examples include phones, online shopping system, smart traffic light in vehicular network and software defined network.
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  INTRODUCTION:  CISCO systemintroduced the term ”Fog Computing” as new model to ease wireless data transfer to distributed devices in the Internet of Things (IoT) network paradigm.  In Fog Computing, devices communicate peer-to-peer to efficiently share or store data and take local decisions.
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  Fog Cloud Locations Edge Core
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  EXISTING SYSTEM  Cloudcomputing has provided many opportunities for enterprises by offering their customers a range of computing services. Current “pay-as- you-go”.  Cloud computing model becomes an efficient alternative to owning and managing private data centers for customers facing Web applications
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  DISADVANTAGES:  It doesnot verify whether the user was authorized or not.  No body is identified when the attack is happen.  We can not detect which file was hacking.  Data latency  Security issues
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  PROPOSED SYSTEM WITHADVANTAGES:  Improved security of encrypted data as it stay closer to the end-user.  Reduction in data movement across the network.  Fog devices are geographically distributed over heterogeneous platform.  It provides low latency, location awareness, and improves quality-of- services (QoS) and real time applications.
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  CLOUD VS FOG:
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  CONCLUSION:  We haveanalysed fog computing and its real time applications.  Fog computing performs better than cloud computing.  Fog computing will grow in helping the network paradigms that require faster processing.
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  FUTURE ENCHANCEMENT:  Futurework will expand on the Fog computing paradigm in Smart Grid, Smart cities, Smart home, Traffic signals, Wireless sensor network, Software define network(SDNs) , IoT.  Next, Fog computing based SDN in vehicular networks will receive due attention.
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  REFERENCES : [1] Wikipedia.com [2]IEEE papers
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  Thank You…