Fog to Cloud Interfaces and Protocols

Question: Discuss about the Fog to Cloud Interfaces and Protocols. Answer: Introduction Fog computing is an emerging software technology that helps distribution of files, documents and other storable materials in the online file hosting or cloud storage systems. Fog computing significantly increases the efficiency and accuracy of file distribution in the virtual storage interface. In this proposal, fog computing is explored and a project plan has been prepared for implementation of fog computing in a cloud using system. Rationale: Problem Domain The main problem domain in this case is the increasing popularity of Internet of Things (IoT) worldwide. Due to the benefits, more and more people are installing IoT and hence, the stream traffic is increasing significantly. IoT uses cloud computing system for storing and processing the files and data of the users (Vaquero Rodero-Merino, 2014). With increasing traffic, the storing and processing activities become significantly slower and inaccurate. There is a need of a dedicated software service that will increase the efficiency and speed of data distribution and processing in the cloud storage system. Purpose and Justification The main purpose of fog computing is to increase the speed and efficiency of data distribution and processing in suitable cloud server that will help optimizing the services of the Internet of Things as well as securing necessary data of the users. The use of fog computing is justified by the following benefits (Stojmenovic Wen, 2014). Fog computing significantly reduces the data traffic that reaches the cloud storage server. Fog computing helps in conserving the bandwidth of the network. Fog computing helps in improving the response time of the system. Fog sends the traffic data towards the edge and hence, enhances data security. Sponsor Recommendation One of the leading organizations in the field of development of fog computing is OpenFog Consortium. Hence, this organization can be chosen as the sponsor who will help in the development of fog computing system and connecting it to the available cloud storage server. Research Questions The main research questions that are to be answered during the course of this research are as follows. How can fog computing enhance the quality of cloud computing and IoT services? How can fog computing service installed in an existing system? How does fog computing ensure data security? How feasible is fog computing for daily use? How can the performance of fog computing be enhanced? Conceptual Framework Fog computing is a software data management service similar to cloud computing. Cloud is a virtual interface for processing and storage of data that will otherwise require physical storage system. Due to its wide range of benefits, many new technologies have been developing centering cloud computing system that also include Internet of Things (Bonomi et al., 2014). With increasing use of Internet of Things, the data management and storage by cloud have significantly reduced in efficiency and accuracy. Hence, the new fog computing system will be developed in order to reduce the traffic in the cloud and increase accuracy and efficiency of data management and storage. Moreover, fog can also be used to solve the technical and privacy risks faced by the cloud computing system. However, fog computing requires high degree of technical setup (Luan et al., 2015). Hence, for the project, the technical setup will have to be upgraded and a proper project plan will have to be prepared for analysi s and implementation of fog computing system in the available cloud server setup. Research and System Development Method The research method will follow standard literature review process as well as practical evaluation. For the literature review, works of different researchers on cloud and fog computing will be analyzed for understanding the basic requirements and the functions. For system development, the available technical setup will be upgraded and the proposed system will be developed and implemented. Data Collection Method Data collection will be done via two methods. The primary data will be collected from the literature survey that will provide the existing and optimized data. On the other hand, secondary data will be collected from system testing where certain values will be generated. Ethical Issues The main ethical issue in this case is the security of the personal data of the users. As the cloud computing system handles a huge amount of personal data of the users, it is to be ensured that these data and information do not get leaked or stolen. Compliance Requirements The project will have to comply with the rules and guidelines set by the government for handling online data and softwares. In course of system development, no blocked or banned websites should be accessed and no downloads should be done from unreliable or unverified sources. Analysis of Data Data analysis will be conducted based on the comparison between primary and secondary data. This will help obtain the most accurate results and can be used for optimizing the developed system involving fog computing system. Project Plan: Deliverables The deliverables of the project are as follows. A complete analysis of fog computing systems and its benefits on Internet of Things A completely developed and fully functioning fog computing system A risk analysis test for mitigation of all the associated risks Work Breakdown Structure Figure 1: WBS of the Project (Source: Created by Author) Risk Analysis The main risk of fog computing is security and privacy risk. The ip address of the user can easily be spoofed in fog computing service and hence, unethical users may fake his ip to access personal information of other users and use them for unethical activities (Aazam Huh, 2014). Hence, it is to be ensured that these types of activities do not happen in the future. Currently, there are no reliable techniques for the mitigation of the ip spoofing issue. Hence, another important aspect of this research will be to analyze the risks and solve the problems by inventing new risk mitigation techniques. Duration Task No. Task Name Duration 1.0 Fog Computing Development Project 86 days 1.1 Project Planning Phase 13 days 1.1.1 Analysis of the Research Requirements 3 days 1.1.2 Development of Project Plan 5 days 1.1.3 Estimation of Time and Resources 5 days 1.2 Project Initiation Phase 5 days 1.2.1 Verification of Project Plan 2 days 1.2.2 Approval of Research Plan 1 day 1.2.3 Initiation of the Project 2 days 1.3 Project Execution Phase 56 days 1.3.1 Literature Review 15 days 1.3.2 Collection of Primary Data 5 days 1.3.3 Analysis of Primary Data 10 days 1.3.4 Procurement of Technical Resources 3 days 1.3.5 Development of System Planning 5 days 1.3.6 Development of the Proposed System 20 days 1.3.7 Implementation of Fog Computing System 15 days 1.3.8 Connecting the System with Cloud Storage Server 5 days 1.3.9 Collection of Secondary Data 5 days 1.3.10 Analysis of Secondary Data 8 days 1.4 Project Closing Phase 25 days 1.4.1 Analysis of Primary and Secondary Data 15 days 1.4.2 Development of System Protocol 10 days 1.4.3 Development of System Security 6 days 1.4.4 Final Testing and Analysis 3 days 1.4.5 Risk Analysis 5 days 1.4.6 Risk Mitigation 5 days 1.4.7 Project Completion 2 days 1.4.8 Stakeholder Signoff 1 day Gantt Chart Figure 2: Gantt Chart of the Project (Source: Created by Author) Conclusion In this proposal, a project plan has been prepared for the analysis and development of fog computing system. 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