Key Value Adds With Fog Computing

It can perform an intelligent decision making on determining the best path for the packet reach its destination. It filters traffic by analyzing the source and destination IP addresses with its routing table.

Analyzing data on the edge gateway and sending only the required information back to central repositories reduces footprints and consequently brings down the data transmission costs. For businesses that are greatly dependent on IoT, Edge Analytics can prove to be a great cost saver.

It is not only responsible for storing data but also to provide security along with it. It also allows accessing data effectively; integrating data to enhance service intelligence, analysis based on the services required and most importantly increases the storage efficiency.

There are several advantages of using Cloud Computing, for example: “To begin, businesses can have lower cost computers for users.” Alijabre explains that cloud computing can be very beneficial for the businesses. Moreover, businesses will bring great amount of profit into their company, and it will be easy to use it. Alijabres goes on to provide several examples why cloud computing is better. One of of the most important reason why companies are moving towards cloud computing is the lower cost of the system. “To begin, businesses can have lower cost computers for users.” He explains that small business will not need computers that are high performance based. Business can get less expensive computers and store all of their data online instantly, without having them to worry about the space in a

Capacity is a central concept in fog and cloud computing. Keeping in view the large amount of data being produced, it is important to enhance storage and data management technologies. A great deal of research and development is being done on these technologies by technology companies in developed regions. It has been determined that capacity is a two-fold construct. It includes network

Table of Contents Executive Summary Foundations of Cloud Computing Obstacles and Considerations Future of Cloud

Private cloud give the ability to more particularly direct resources that oblige a bigger measure of control than is ordinarily available from individuals by and large cloud. Private cloud are normally used for a lone business. For a few affiliations considering appropriated processing, private fogs structures

Over the past two decades, as well the scale as the complexity of Internet of Things (IoT) networks has been dynamically growing. The popularization of mobile internet-connected devices and IoT-based business solutions has additionally contributed to the growth of distributed computing. With the ever more common deployment of heterogeneous IoT networks, often integrating elements of mobile ad-hoc network (MANET) architecture, increasingly sophisticated software-defined networking (SDN) solutions \cite{c3} represent an important area of development.

NASA uses it for security applications to track hardware and software patches and deals with data that is both structured and unstructured and allowed them to insert data much more smoothly than prior RDBMS, and achieved this with reduced query response.

Fog computing is simillar to cloud. Fog provides data, storage, compute and applications to the end user. Rather than presenting and working from centralized cloud, fog operates on network edge. Because of this, it requires less time to

Fog computing, also referred to as fog networking, is a mechanism or architecture that uses a wide range of end user clients and systems to create a large amount of storage. It can be perceived in both cloud computing as well as other related data storage architectures. With an increase in the internet of things, a wide range of sensors are being deployed into devices. This has led to the generation of a large amount of information. For the purpose of managing and storing this data, fog computing is now being used. Cloud computing had seen its emergence in the past few years.

Further, a significant challenge many organizations when deploying IoT solutions is the melee of connectivity standards, hardware types, operating systems, programming languages in addition to navigating the proliferation of platforms. Dell Technologies has been a pioneer in driving innovation, standards, and solutions across the industry. Specifically, with their involvement the Industrial Internet Consortium (IIC), OpenFog Consortium, and the EdgeX Foundry hosted by the Linux Foundation. Although there has been some success with these standards bodies, the onus has been put on companies like Dell to provide leadership and move the industry forward. Seeded by Dell code, EdgeX is a vendor-neutral, open source project building a common interoperability framework to facilitate an ecosystem for IoT edge computing. The EdgeX effort is backed by over 60 organizations, including recent addition Samsung, has established a roadmap of bi-annual code releases and has formed a partnership with the IIC to collaborate on testbeds.

Other research suggests that the integration between IoT and other technologies such as Cloud Computing is “in its infantile phase and it has not been extended to all application domains due to its inadequate quality of service architecture.” (T, S and A, 2015) . We see here the lack of QoS in the IoT also has an impact on the future and extendibility of the IoT. Within this area of QoS, which continues to be actively researched, there is still a gap in any currently available solution. This project aims to contribute to this gap.

Many of the IoT applications will include monitoring devices reporting on different aspects of the system being monitored. For instance, many buildings and offices include occupancy, and temperature sensors. Vehicles could be equipped with monitoring devices reporting on locations, fuel consumption, etc. However, current IoT applications are domain specific, with no wider vision for reusing the data generated by devices in other applications or sharing them with other users in other domains. The Internet of Things is lacking a well-defined architecture that could help create a competitive marketplace of applications and solutions without locking any users into using a monolithic stack from a single solution provider.

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.