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.
Fog computing can be defined as a paradigm, which extends the service of cloud computing as well as services to the network edge. Similarly to the cloud, fog computing provides data, compute as well as storage along with application service to the users. However, motivation as well as benefits of fog computing are analyzed by its applications (Stojmenovic & Wen, 2014). These include real scenario like Smart Grid and smart traffic lights. The fog devices in the system are included for implementation. On the other hand, privacy as well as security issues are related to the procedure of implementation of fog computing. It is the technology that is based on the infrastructure on decentralized computing for distribution of the computer resources. Thus, the data are generally transferred from the data sources to the cloud.
Yi, S., Li, C., & Li, Q. (2015, June). A survey of fog computing: concepts, applications and issues. In Proceedings of the 2015 Workshop on Mobile Big Data (pp. 37-42). ACM.
The increasing usages of the cloud computing are involved with the issues that are unsolved for inherent issues of cloud computing like unreliable latency and lack of mobility. On the other hand, it is required to address the problems through providing elastic resources as well as services to the end users at edge network. The processing of data in the particular centralized cloud that does not scale to the needs of the environment and there are some of the applications such as monitoring in health system along with emergency practices for getting response. In addition, it is required to have low latency as well as delay that is caused through making impact of the extended to edge. It is vital for the network to decrease latency as well as congestion in network (Yi et al. 2015). In this perspective, fog computing is one of the issues in paradigm of fog computing. It is required to manage highly distributed as well as possibly virtualized environment, which gives computing as well as motivations on the emergence in the network services. In addition, background as well as emergence of fog computing defines the key characteristics of fog computing.
Stojmenovic, I., Wen, S., Huang, X., & Luan, H. (2015). An overview of Fog computing and its security issues. Concurrency and Computation: Practice and Experience.
Fog computing extends t the cloud computing, it is important to extend cloud computing services to the network edge. Elaborating through motivation as well as benefits of fog computing and analyze the applications. It is important to discuss the specific state of art of the fog computing. In addition, lights of smart traffic in the vehicular networks can be smart grids. The state of art for fog computing as well as similar networks discloses security as well as preset paradigm of fog computing (Stojmenovic et al. 2015). In addition, security as well as privacy issues are associated with computing paradigm.
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.
The cloud is generally migrating of the edge of network where the routers become virtualized in the interplay of making dramatically shift of the information as well as communication technologies. In addition, advantages as well as disadvantages of fog computing are discussed in this study that is helpful to understand the application of fog computing in various fields. On the other hand, disadvantages of fog computing are discussed in the paper that highlights limitations of fog computing in computing (Vaquero & Rodero-Merino, 2014). Along with these, finding the appropriate way for fog computing in the computer communication is discussed in the paper and highlights the issues as well.
Yi, S., Hao, Z., Qin, Z., & Li, Q. (2015, November). Fog computing: Platform and applications. In Hot Topics in Web Systems and Technologies (HotWeb), 2015 Third IEEE Workshop on (pp. 73-78). IEEE.
Despite of having use of the cloud computing, there are applications as well as services that still cannot give advantages in the computer paradigm. Moreover, analysis of the goals as well as challenges in the fog computing platform can be presented through the platform of making designs and proposed most understandable definition. It is required to implement and assess the prototype platform for fog computing (Yi et al. 2015). There are software as a service and platform as a service as well as infrastructure are categorized in the fog computing.
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.
In this article, deployment model of fog computing can be categorized as private fog and public fog. In addition, in fog computing there are unusual choices of the suppliers that acts as a vital role in extending cloud service (Dastjerdi et al. 2016). The customers can change private cloud to fog through making the use of security as well as privacy of the system. Moreover, it is required to ensure the privacy of the system. The customers can make changes in the particular system.
Stantchev, V., Barnawi, A., Ghulam, S., Schubert, J., & Tamm, G. (2015). Smart items, fog and cloud computing as enablers of servitization in healthcare. Sensors & Transducers, 185(2), 121.
In this article, there is unacceptable agency as well as lack of mobility for supporting the process of decision making. In addition, fog computing has been emerged as one of the promising infrastructures in order to make the present definition of the fog computing. The smart items of cloud computing are powerful that enable servitization in the trend of business. It is exemplified through the application that makes the application scenario of health care system developed in OpSIT project in Germany. Moreover, it is presenting of three level of architecture for infrastructure of smart healthcare that helps to get service oriented architecture as well as extends the approach in health care system. It is important to ensure that the approach is service oriented and provide viable architecture in the system of health care. Along with these, it is required to develop the system of fog computing informed design to give viable architecture. Integration makes the program of paradigm beneficial with the respect for providing proper quality of the service as well as governance (Stantchev et al. 2015). It is generally verified by number of experts and interviews with effective and specialists of health care system as well as IT professionals. In order to demonstrate the validity of architecture model, it is required to provide and demonstrate validity of the architecture. In addition, it is required to use case template for smart sensor based infrastructure in the health care system.
Shi, W., & Dustdar, S. (2016). The promise of edge computing. Computer, 49(5), 78-81.
There are peer-to-peer networks that bring separate technologies into the common ground. The study offers comprehensive definition of the fog and understating the technologies of cloud. The nodes of smart devices provides virtualized phase for allocating the resources in order to manage the services. Success of applying internet of things as well as rich cloud computing services has assisted to create the requirements in the cloud services. It is also important that creation of edge computing make data processing happening over the services of health care system and network edge (Shi & Dustdar, 2016). Moreover, it is required to have proper data processing in the network edge that helps to make the computing services as well as help to make the sense in the service. In addition, edge computing is the cloud services that make concern for the fog computing like latency and mobile devices, which have limited battery life and costs of bandwidth. It is important to have proper security as well privacy in particular things.
Wells, R. B. (2009). The fog of cloud computing: Fourth Amendment issues raised by the blurring of online and offline content. U. Pa. J. Const. L., 12, 223.
The landscape of this communication technology follows some common background. In addition, it is crucial to make comprehensive technologies for diverse the cloud. There are typical attacks and man in the middle attacks for discussing in the stealthy features of the attack. In addition, authentication techniques are introduced in order to address the security scenario between fogs. Ubiquitous access to the data enables to get the stream that is copied with the services and make the system (Wells, 2009). Retrieving of the latest memo from the same thing can be achieved with the help of PC in the world. There are several benefits for having fog computing like connectivity with the apparent. However, it is required to have the Constitution afford with the information. On the other hand, the law needs to adapt the location of the information, which is the medium for travel and protects the privacy through making fourth amendment. In addition, there are privacy protected by the Constitution address to the privacy project with the help of online remote servers. It is known as cloud. In addition, the traditional computing services are blurring and store the data locally as well as remotely by accessing the services and make blurring. It is in distinguish to able the service for advancement exposed to the flow in the amending the advancement. In addition, there are reasonable expectation of the privacy is doctrine through it.
Wang, Y., Uehara, T., & Sasaki, R. (2015, July). Fog computing: issues and challenges in security and forensics. In Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual (Vol. 3, pp. 53-59). IEEE.
In this article, definition of fog computing is provided. The computer paradigm has different characteristics in the location sensitivity. The wireless connectivity as well as geographical services of accessibility creates new security as well as forensics issues along with challenges. It is required to ensure that the service has distinctive issues for cloud computing. There are extensive uses of the cloud security as well as cloud security for extensive reviews of getting motivated. Wang, Uehara and Sasaki (2015) stated that there are some advantages of fog computing that has unique cloud security as well as cloud forensics. However, cloud computing provides resources in the distributed core network. The particular survey makes discussion regarding fog computing as well as similar concepts that introduces representative scenario of application It detects several aspects of the issues that meet during the process of designing as well as implementing fog in the computer systems. In the paper, extensive review of using cloud security has been achieved that would be helpful to provide unique features and comparison on various scenarios between the cloud computing as well as fog computing. There are several issues of fog security as well as fog forensics for promoting extensive research in fascinating field such as fog security as well as fog forensics.
Aazam, M., & Huh, E. N. (2015, March). Dynamic resource provisioning through Fog micro datacenter. In Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on (pp. 105-110). IEEE.
The fog computing can be defined as the extension of cloud computing design that has several characteristics in the different connectivity of the location of sensitivity. It is important to create several issues with the help of this program and making issues as well as challenges that have provided as cloud security as well as cloud services. The extensive review of this particular things can be helpful to understand the advantages of fog computing. In this perspective, fog securities as well as well as fog forensics are considered as vital elements in this aspect. Hence, it is required to take proper actions regarding the issue and minimize the issues as much as possible (Aazam & Huh, 2015). The state of the art of fog computing are considered as similar work under the umbrella. Issues related to security and privacy of the users is disclosed according to the present fog computing paradigm. There is security required to the attacks through the investigating CPU and memory consumption on the fog devices.
Tang, B., Chen, Z., Hefferman, G., Wei, T., He, H., & Yang, Q. (2015, October). A hierarchical distributed fog computing architecture for big data analysis in smart cities. In Proceedings of the ASE BigData & Social Informatics 2015 (p. 28). ACM.
Development in several types for sensors in smart cities needs new computing paradigm to the edge of network. Fog computing extends the cloud computing architecture in order to support integration of a large number of development in infrastructure elements. There are some comparisons on several scenarios of fog computing as well as cloud computing. In addition, the fog forensics are presented as well as discussed in the paper (Tang et al. 2015). The outcome of the particular study encourages and promotes the extensive research in the field. It is important to consider the process for hierarchical development in making security of future communities. It is essential to develop large scale geospatial networks with the help of fog computing.
There are no bold or colored text matches in the self-check report found in-text references.
There are few numbers of bold and colored text matches in my self-check report that includes more than three words copied in a row. As there are some technical terms are used in the task like software as a service. On the other hand, references are included in the writing part as there is annotated bibliography. Thus, few numbers of bold and colored texts are included in the report.
There are no direct quotations used in the essay.
There are few number of bold and colored words are matched coincidently such as extend cloud service. However, it has been tried to avoid and retain originality of the task.
There are any short strings matching in the text that indicates that makes the paraphrasing successful.
I have synthesized all sources and their ideas into my essay through introducing piece of the source information with signal phase as well as adding interruptions in some sentences. In addition, less than 5% similarity has been found to the Study Group Australia. In addition, some colored texts have come for references inclusion.
References
Aazam, M., & Huh, E. N. (2015, March). Dynamic resource provisioning through Fog micro datacenter. In Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on (pp. 105-110). IEEE.
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.
Shi, W., & Dustdar, S. (2016). The promise of edge computing. Computer, 49(5), 78-81.
Stantchev, V., Barnawi, A., Ghulam, S., Schubert, J., & Tamm, G. (2015). Smart items, fog and cloud computing as enablers of servitization in healthcare. Sensors & Transducers, 185(2), 121.
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.
Stojmenovic, I., Wen, S., Huang, X., & Luan, H. (2015). An overview of Fog computing and its security issues. Concurrency and Computation: Practice and Experience.
Tang, B., Chen, Z., Hefferman, G., Wei, T., He, H., & Yang, Q. (2015, October). A hierarchical distributed fog computing architecture for big data analysis in smart cities. In Proceedings of the ASE BigData & SocialInformatics 2015 (p. 28). ACM.
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.
Wang, Y., Uehara, T., & Sasaki, R. (2015, July). Fog computing: issues and challenges in security and forensics. In Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual (Vol. 3, pp. 53-59). IEEE.
Wells, R. B. (2009). The fog of cloud computing: Fourth Amendment issues raised by the blurring of online and offline content. U. Pa. J. Const. L., 12, 223.
Yi, S., Li, C., & Li, Q. (2015, June). A survey of fog computing: concepts, applications and issues. In Proceedings of the 2015 Workshop on Mobile Big Data (pp. 37-42). ACM.
Yi, S., Hao, Z., Qin, Z., & Li, Q. (2015, November). Fog computing: Platform and applications. In Hot Topics in Web Systems and Technologies (HotWeb), 2015 Third IEEE Workshop on (pp. 73-78). IEEE.
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