1611ICT Emerging Technologies For Fog Computing Technology

Issues highlighted in research         

Fog computing technology is directly related to the concept of internet of things and cloud computing. Fog computing services are generally used for processing of personal information of users, which are sent to cloud networks. The main problem associated with this technological advancement is the security issues associated with this technology. Fog computing technology is using large amount of data for different operations on it. Fog computing manages large amount of data involved within any database management system; therefore there are chances of security threats that destroys the security and privacy of information [3]. Additionally, Fog Computing is entirely based on online information sharing platforms that includes large number of information security threats which make serious damages for all data involved within the database server. Henceforth, the security and privacy issues involved within Fog Computing technology needs to be identified in order to mitigate those issues and problems. If these security issues are mitigated then the IoT users as well as cloud computing users are able to use these solutions for managing their cloud computing operations within organizations  [4].  

Purpose of Research

This research is conducted for identifying the security and privacy issues and problems involved within the Fog Cloud Computing technology. The main threat associated with the Fog Computing technology is that cyber agents those deals with stealing of personal and authenticated information from any sources, that needs to be identified in order to manage the security threats involved within the fog computing system architecture. The concerned research process related to identifications of vulnerabilities involved within fog computing technology are analyzed with respect to the impacts of this technological advancements  [5]. According to the suitable measures and functional aspects involved within fog computing processes the system architectures are deployed with respect to different sources of technology and these are mainly analyzed for identifying the significant security issues and functional blockages of this technology.

Conceptual Framework for analyzing the security issues of Fog Computing Technology

The concept of Fog Computing Technology is related to the management as well as processing of different information that is stored within the data base servers. Cloud is virtual interface that manages information inside of virtual storage interface. Therefore, for identifying the security issues of Fog Computing Technology a physical capacity management framework is required for managing the storage management functionality involved within the Fog Computing services [6]. Therefore, expanding the internet of things applications within organizational structures are very important for managing significant applications of Fog Computing technology. Numerous technological developments are considered for managing the advantages of IoT and big data applications.

Methodological Approach

The entire research process is conducted by dividing it into two stages of research process. These are review of existing literature and evaluation of practical applications involved within this literature. The research questions are analyzed with respect to different resources that are introduced into different literatures. In addition to this, form different literature surveys primary data are collected and analyzed with respect to the Fog computing technology. This is system development model that is concerned for managing secondary and primary data involved within this research.

Data Collection

Data collection is managed with respect to different review of literatures. In addition to this, there are various results and information that are published within different literatures for managing information selection and collection for effectively conducting the research. Ethical consideration is also managed and considered within this research process while collecting the data sets and information from different literatures for maintaining right choice of decision making during the entire research process. After collecting these data, these are analyzed with respect to different functional aspects and activates within the research process. 

Risks Analysis

The main objective of this research is the identification and addressing of threats that are associated with fog computing technologies. Privacy is the main risks associated with this technology. These are considered as major risk involved within this technological advancement. Cyber security threats are considered as another major security threat of this technological advancement [7]. Another issue in this technology is rouge fog node. Some unethical hackers attach rouge nodes within Fog system that includes security issues with the personal information shared within this network. This risk analysis process is helpful in solving issues involved within the fog computing technology.

Conclusion                                                                 

This can be concluded that the fog computing approaches are effective in resolving the issues of storage problems caused by big data applications. This literature review is presenting different consequences about fog computing applications involved within organizational structure. Different research consequences are being elaborated within this literature review section in order to highlight the issues and their mitigation policies involved within organizational structures. Therefore, this literature review is helpful in identifying the major risks involved within Fog Computing technology for managing significant  development of cloud computing and internet of things applications within network architectures.

References

[1] Vaquero, L. M., & Rodero-Merino, L. (2014). Finding your way in the fog: Towards a comprehensive definition of fog computing. ACM SIGCOMM Computer Communication Review, 44(5), 27-32.

[2] Stojmenovic, I., & Wen, S. (2014, September). The fog computing paradigm: Scenarios and security issues. In Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on (pp. 1-8). IEEE.

[3] Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014). Fog computing: A platform for internet of things and analytics. In Big Data and Internet of Things: A Roadmap for Smart Environments (pp. 169-186). Springer International Publishing.

[4] Luan, T. H., Gao, L., Li, Z., Xiang, Y., Wei, G., & Sun, L. (2015). Fog computing: Focusing on mobile users at the edge. arXiv preprint arXiv:1502.01815.

[5] Yannuzzi, M., Milito, R., Serral-Gracià, R., Montero, D., & Nemirovsky, M. (2014, December). Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing. In Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2014 IEEE 19th International Workshop on (pp. 325-329). IEEE.

[6] Stojmenovic, I., Wen, S., Huang, X., & Luan, H. (2015). An overview of Fog computing and its security issues. Concurrency and Computation: Practice and Experience.

[7] Dastjerdi, A. V., Gupta, H., Calheiros, R. N., Ghosh, S. K., & Buyya, R. (2016). Fog computing: Principles, architectures, and applications. arXiv preprint arXiv:1601.02752.

[8] Peng, M., Yan, S., Zhang, K., & Wang, C. (2016). Fog-computing-based radio access networks: issues and challenges. IEEE Network, 30(4), 46-53.

[9] Dastjerdi, A. V., Gupta, H., Calheiros, R. N., Ghosh, S. K., & Buyya, R. (2016). Fog computing: Principles, architectures, and applications. arXiv preprint arXiv:1601.02752

[10] Peng, M., Yan, S., Zhang, K., & Wang, C. (2016). Fog-computing-based radio access networks: issues and challenges. IEEE Network, 30(4), 46-53.

[11] Madsen, H., Burtschy, B., Albeanu, G., & Popentiu-Vladicescu, F. L. (2013, July). Reliability in the utility computing era: Towards reliable fog computing. In Systems, Signals and Image Processing (IWSSIP), 2013 20th International Conference on (pp. 43-46). IEEE.

[12] Jalali, F., Hinton, K., Ayre, R., Alpcan, T., & Tucker, R. S. (2016). Fog computing may help to save energy in cloud computing. IEEE Journal on Selected Areas in Communications, 34(5), 1728-1739.