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Ph.D.
                                                                               (Engineering & Technology)
        DESIGN AND DEVELOPMENT OF FRAMEWORK AND APPROACHES
        FOR PLATFORM LEVEL ISSUES IN FOG COMPUTING

        Ph.D. Scholar : Bhavsar Sejal Atit
        Research Supervisor : Dr. Kirit J. Modi



                                                                              Regi. No.: 17276341002
        Abstract :
        Fog  computing  has  become  one  of  the  leading  technologies  by  conquering  the  many
        significant challenges in IoT, Big Data and Cloud. Computing models are inclining towards
        Fog than Cloud due to faster processing. The numerous idle devices near the users help
        overcome the issue of latency found in the cloud. Fog computing provides data, storage,
        computing  and  application services  to  end  users.  The  distinguishing  characteristics  of
        fog computing are its proximity to the end users. Resource management through load
        balancing  plays  an  essential  role  in  efficient  data  processing.  Based  on  the  current
        pandemic situation, the Emergency patient's vital sign monitoring system for Covid and
        other  variants  is  implemented  with  the  support  of  dynamic  resource  load  balancing
        environment. Apart from this, previously we have faced many such diseases like plague,
        flu, etc which were pandemic and have become normal diseases now. Apart from them,
        many critical conditions and diseases such as hypertension, kidney failure, heart attack,
        cancer,  lung  &  liver  disease  need  continuous  monitoring.  It  is  not  feasible  to  treat  all
        patients  at  the  hospital  as  the  count  is  increasing  very  speedily.  There  is  a  need  for
        infrastructure to handle resource issues without any delay in the treatment of patients
        using fog computing. The proposed approach DynaReLoad would provide prompt health
        services  and  prevent  early  deaths  due  to  critical  conditions.  An  immediate  alert  to  the
        doctors will be generated when detecting any abnormality. The DynaReLoad has gained
        improvement in results with minimum latency 23.20ms, makespan 101.94ms, scheduling
        time 23.76ms and response time 21.61ms, maximizing load balancing level 70.94ms and
        resource  utilization  87.19ms  as  compared  to  other  Load  balancing  algorithms  using
        iFogSim.

        Key words: Fog computing, Cloud computing, IoT, iFogsim, Load balancing, Healthcare,
        Vital-sign monitoring sensors












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