FMEC Introduction: Analysis of FMEC, Cloud Computing, and AI Trends

This report provides an introduction to Fog and Mobile Edge Computing (FMEC) and its relationship with cloud computing and artificial intelligence (AI). It explores the core concepts of FMEC, emphasizing its role in modern information and communication systems for quickly deploying and managing the scalability of information technology. The report discusses the application of computational intelligence (CI) approaches to improve services, address security challenges, and enhance the privacy of data. It highlights the benefits of FMEC, such as handling latency issues, supporting mobility, and providing trusted solutions. The report also examines the challenges associated with FMEC, including security concerns, administrative policies, and the need for efficient resource allocation. It further investigates the use of FMEC in various applications, such as virtual reality and smart building control, and discusses the importance of data protection, network security, and user satisfaction. The report concludes by examining the importance of FMEC for the future of cloud computing and the need to address challenges related to data storage, computation, and network attacks, with a focus on enhancing reliability and scalability.

FMEC

Introduction
The cloud computing services are based on the indubitable parts of the modern information and
the communication system where the technology is mainly for the provisioning to quickly deploy
and handle the scalability of the information technology. (Allam et al.,2017). The concept is
based on working over the evolutionary computing and the different hybrid systems are set of the
branch combinations. The goal is mainly about working on the different state of art where the CI
(Computational intelligence) approaches are mainly based on improving the services attack on
FMEC and the security is also for the different set of challenges with the mobile edge computing
services. (Bhamare et al., 2017). The check is also on the cloud computing parts where the
modern information proves to be for the communication system in the daily lives. (Le et al.,
2017). The cloud computing is mainly found to be incredible to handle the solutions related to
the system standards and checking the latency of the location with the focus on the mobility
support. (Markus et al., 2017). The research is about how the researchers are able to introduce
the trusts through FMEC. The services are also put to the resources, where there are different
security and the privacy issues which are considered to be the major challenge for the key
research areas. The concepts of the computational intelligence are related to how the
management of the different vital roles is possible with the application areas working on the
security and the privacy of the system. (Liu et al., 2017).
The large range of the services are based on virtually handling the unlimited availability of the
resources where there are larger number of applications to face the issues of the latency. The
research is introduced through the trusted and the dependable forms of the solutions where the
FMEC works on the leverages. (Alonso et al., 2017). The forms are set with the user centric
approaches. The investigation is about the opportunities and the requirements for the Mobile

Edge where the contributions are mainly to mitigate the mobile edge computing challenge. The
new applications like the virtual reality and the smart building control have been able to emerge
mainly due to the different resources and the services. (Rimal et al., 2017). It includes the use of
cloud computing, where there is a delay of the sensitive applications based on how the FMEC is
based on putting the services and the resources of the cloud user to the users. There are different
challenges for the new technology with the focus on the administrative policies and the security
concerns. (Amjad et al., 2017). The secured data storage, computation and the network security
is mainly to handle the privacy of the data and work on the location privacy with the check on
the real-time applications as well. This includes the different services and the forms where the
researches are for the enhancement of the reliability and the scalability factors. The utilisation of
the measuring mechanism is mainly to check the resources and how it is easy to optimise the
user satisfaction through the use of FMEC. (Dang et al., 2017). As per the research, the work
focus on the different elements where the infrastructure providers are working on handling the
virtualisation infrastructure. With this, the major concern is also about the performance and the
services that leads to handling the network based attack with the gateway that includes the man
in the middle attacks. (Akbar et al., 2017). There are different security issues which are related to
the services and how the users are able to capture and damage the system. Hence, the FMEC
need to work on the information which pass mainly through the nodes and the configuration is
also based on the process of adequate training factors. (Happ et al., 2017). When it comes to the
storage and the computation of the large data, the cloud computing has been able to prove that it
is the best solution for defining the mobility support which is mainly due to the agile nature.
(Mthunzi et al., 2017). The quality of services and the edge computing is based on overcoming
all the challenges with the stage and the processing based on the capabilities of the large

numbers. The FMEC is mainly for the processes of deployment of intermediate nodes with the
storage and processing capabilities that are based on handling the system computation. (Dang et
al., 2017). The work focus on the contribution to the edge computing paradigm where there is a
proper examination of the economy with optimal selection or the use case applications. The
applications for the virtual machine is based on the concept that looks for the user mobility and
how it affects the system standards in the LAN networks. The check is also on the MEC based
cases where the nodes are set with the base stations for the improvement of the websites.
(SOnmez et al., 2017).
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