[6] A. Yousefpour，G。Ishigaki和J. P. Jue，“雾计算：努力使物联网中的延迟最小化”，2017 IEEE国际边缘计算会议（EDGE），美国檀香山，檀香山。 [线上]。 2017年，第17-24页。可用：https：//uk.cloud.yimian.xyz/index.php/s/EsDjHnHHGND2SoD
[6] A. Yousefpour，G。Ishigaki和J. P. Jue，“雾计算：努力使物联网中的延迟最小化”，2017 IEEE国际边缘计算会议（EDGE），美国檀香山，檀香山。 [线上]。 2017年，第17-24页。
[7] S. Sarkar，S。Chatterjee和S. Misra，“在物联网环境下进行雾计算的适用性评估”，在IEEE交易云计算中。[在线]。卷6号1，第46-59页，2018年1月至3月。可用：https：//uk.cloud.yimian.xyz/index.php/s/m7of3EjZ6Tji7jF
[7] S. Sarkar，S。Chatterjee和S. Misra，“在物联网环境下进行雾计算的适用性评估”，在IEEE交易云计算中。[在线]。卷6号1，第46-59页，2018年1月至3月。
@ -120,41 +120,41 @@ To conclude, although the IoT based on Fog concept may be currently doubted in p
-----------------
**Reference (IEEE)**
[1] M. Aazam, I. Khan, A. A. Alsaffar and E. Huh, “Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved,” Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad,Pakistan. [Online]. 14th – 18th January, 2014, Islamabad, 2014, pp. 414-419.Available: https://uk.cloud.yimian.xyz/index.php/s/PAbkLC5bqoWFcJi
[1] M. Aazam, I. Khan, A. A. Alsaffar and E. Huh, “Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved,” Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad,Pakistan. [Online]. 14th – 18th January, 2014, Islamabad, 2014, pp. 414-419.
This is an early peer-reviewed article introducingthe concept of Cloud and IoT. It provides me the scope of how researcherslooked at Cloud and how they understood IoT in 2014 (when Cloud Computing beganto be popular). I have used this to provide some background about Cloud inintroduction.
[2] F. Bonomi, R. Milito, J. Zhu and S. Addepalli, “Fog computing and its role in the internet of things” In Proceedings of the first edition of the MCC workshop on Mobile cloud computing. [Online]. August, 2012, pp.13-16. Available: https://uk.cloud.yimian.xyz/index.php/s/ZnyXdJKk84dR2QD
[2] F. Bonomi, R. Milito, J. Zhu and S. Addepalli, “Fog computing and its role in the internet of things” In Proceedings of the first edition of the MCC workshop on Mobile cloud computing. [Online]. August, 2012, pp.13-16.
Thispaper firstly pointed out the Fog concept. Its writers were all from Cisco, which is considered the most powerfulcompany on providing Internetworking solution. I have used this sourceto introduce some background of Fog and Fog computing and the Connected Vehicle,one of their imaginary Fog-IoT application.
[3] M. Chiang and T. Zhang, “Fog and IoT:An Overview of Research Opportunities” in IEEE Internet of Things Journal. [Online]. vol. 3, no. 6, pp.854-864, Dec. 2016. Available: https://uk.cloud.yimian.xyz/index.php/s/Fi7KELbjE7kR3qq
[3] M. Chiang and T. Zhang, “Fog and IoT:An Overview of Research Opportunities” in IEEE Internet of Things Journal. [Online]. vol. 3, no. 6, pp.854-864, Dec. 2016.
This is an invited paper published by IEEE, the most influential organization for Engineer. Chiang is from Princeton and Zhang is from Cisco. After this paper, more researchers began to notice Fog. I have used this source to introduce, evaluate and query Fog because this is a rare high-quality paper.
[4] J.C. Corbett, J. Dean, M. Epstein, A. Fikes, C. Frost,J.J. Furman, S. Ghemawat, A. Gubarev, C. Heiser, P. Hochschild and W. Hsieh, “Spanner:Google’s globally distributed database”, ACM Transactions on Computer Systems (TOCS). [Online].vol. 31, no. 3,pp. 8, Aug. 2013. Available: https://uk.cloud.yimian.xyz/index.php/s/oxj4EAm6M78GPN8
[4] J.C. Corbett, J. Dean, M. Epstein, A. Fikes, C. Frost,J.J. Furman, S. Ghemawat, A. Gubarev, C. Heiser, P. Hochschild and W. Hsieh, “Spanner:Google’s globally distributed database”, ACM Transactions on Computer Systems (TOCS). [Online].vol. 31, no. 3,pp. 8, Aug. 2013.
This paper detailly introduced Google Spanner. Google Spanner was designed based on this paper. I include this source because I think Google Spanner is are volutionary attempt of Fog storage. And I have used this as an example when I try to describe the concept of Fog storage.
[5] W. Shi, J. Cao, Q. Zhang, Y. Li and L. Xu, “Edge Computing: Vision and Challenges” in IEEE Internet of Things Journal. [Online]. vol. 3, no. 5, pp. 637-646, Oct. 2016.Available: https://uk.cloud.yimian.xyz/index.php/s/p4QGJA6AWPDKEK4
[5] W. Shi, J. Cao, Q. Zhang, Y. Li and L. Xu, “Edge Computing: Vision and Challenges” in IEEE Internet of Things Journal. [Online]. vol. 3, no. 5, pp. 637-646, Oct. 2016.
This is a journal from IEEE and have been cited 8422 times. It provides several novel ideas concerning how would the Fog be applied in computing field. I have summarized the Fog control concept from this source and cited their questioning concerning the privacy and security issue of Fog IoT.
[6] A. Yousefpour, G. Ishigaki and J. P. Jue, “Fog Computing: Towards Minimizing Delay in the Internet of Things” 2017 IEEE International Conference on Edge Computing (EDGE), Honolulu, HI. [Online]. 2017, pp. 17-24. Available: https://uk.cloud.yimian.xyz/index.php/s/EsDjHnHHGND2SoD
[6] A. Yousefpour, G. Ishigaki and J. P. Jue, “Fog Computing: Towards Minimizing Delay in the Internet of Things” 2017 IEEE International Conference on Edge Computing (EDGE), Honolulu, HI. [Online]. 2017, pp. 17-24.
The authors were from Texas University and they are not famous in Fog field. As it is the only paper which evaluated latency, the most significant trait of Fog IoT, mathematically and got a seemly reliable result, I have used this to support my low latency argument.
[7] S. Sarkar, S. Chatterjee and S. Misra, “Assessment of the Suitability of Fog Computing in the Context of Internet of Things”in IEEE Transactions on Cloud Computing.[Online]. vol. 6, no. 1, pp. 46-59, Jan.-March 2018. Available: https://uk.cloud.yimian.xyz/index.php/s/m7of3EjZ6Tji7jF
[7] S. Sarkar, S. Chatterjee and S. Misra, “Assessment of the Suitability of Fog Computing in the Context of Internet of Things”in IEEE Transactions on Cloud Computing.[Online]. vol. 6, no. 1, pp. 46-59, Jan.-March 2018.
This paper was just published a few month ago. It was written by two students and one doctor, which makes it not so authoritative. However, since there are few Fog research, I finally decide to use its modeling result to support that Fog IoT is more environment friendly than Cloud.
[8] G. Zyskind, O. Nathan and A. ‘. Pentland,”Decentralizing Privacy: Using Blockchain to Protect Personal Data” 2015 IEEE Security and Privacy Workshops,San Jose, CA. [Online]. 2015, pp. 180-184. Available: https://uk.cloud.yimian.xyz/index.php/s/7FirJsrD93wzDxN
[8] G. Zyskind, O. Nathan and A. ‘. Pentland,”Decentralizing Privacy: Using Blockchain to Protect Personal Data” 2015 IEEE Security and Privacy Workshops,San Jose, CA. [Online]. 2015, pp. 180-184.
This paper was published by IEEE. Zyskind was from MIT, which makes the source seems to be credible. I am interested in the blockchain algorithm which is theoretically absolutely safe as it mentioned and I think it is one ideal method to deal with the security problem of Fog IoT.
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Attachment
Fog and IoT PPT: https://uk.cloud.yimian.xyz/index.php/s/GbLfqxX2CBTDdRR
@ -91,9 +91,26 @@ Global climate change has a significant correlation with human behavior, and hum
## 与人类
### 一个公式
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$$Increase CO_{2} = Increasing Population + \Delta Emission per Person + Efficiency of CO_{2} Use$$
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这个公式也可以转译为:
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$$碳排量 = 人口 + 经济 - 科技$$
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### 一个组织
Intergovernmental Panel on Climate Change (IPCC) 制定了一个小目标来限制各国温室气体排放，表示到2050年，全球二氧化碳排放量要卡一半。。这其实等同于将排放量和钱联系起来，给每个国家分一部分排放量，如果多排就要交钱来买。结果已经工业化完的发达国家切走了超过40%的蛋糕，国科大校长老丁表示这不能忍啊，发展中国家的人到底还有没有人权啊ヾ(´･ ･｀｡)ノ"
@ -196,10 +213,27 @@ As can be seen from the above figure, in the history of the earth, the concentra
## With humans
### A formula
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$$Increase CO_{2} = Increasing Population + \Delta Emission per Person + Efficiency of CO_{2} Use$$
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This formula can also be translated as:
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$$Carbon emissions = population + economy-technology$$
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### An organization
The Intergovernmental Panel on Climate Change (IPCC) has set a small goal to limit greenhouse gas emissions in various countries, stating that by 2050, global carbon dioxide emissions will have to be half. . In fact, this is equivalent to linking emissions with money, giving each country a portion of the emissions, and paying for more emissions. As a result, the industrialized developed countries cut away more than 40% of the cake. The president of the National University of Science and Technology, Lao Ding, said that this is unbearable. Do people in developing countries have human rights? ヾ(´･ ･｀｡)ノ"
In order to explore the feasibility of agricultural Internet of Things technology, instructor Alam Mohammed hopes that we can provide a **Available** and **Reliable** Internet of Things system to realize intelligent monitoring and management of farmland. This system will be able to timely detect the parameters related to plant health in the soil and the air, process and store these data (proposed by Alam). At the same time, the automatic control irrigation function (proposed by Caleb) and some data display methods (optional requirements proposed by Alam) are also expected to be provided by this system.
### 1.2 Positioning
As it is a small scientific research project designed for the agricultural Internet of Things, the goal of the project is to explore the feasibility of the agricultural Internet of Things, and the vision is to simulate the most common small-scale agricultural Internet of Things application scenarios. Therefore, the positioning of this architecture is **applicable to most small agricultural IoT projects with sensing, control and display functions**.
As it is a small scientific research project designed for the agricultural Internet of Things, the goal of the project is to explore the feasibility of the agricultural Internet of Things, and the vision is to simulate the most common small-scale agricultural Internet of Things application scenarios. Therefore, the positioning of this architecture is **applicable to most small agricultural IoT projects with sensing, control and display functions**.
@ -418,7 +421,8 @@ The functional requirements of this architecture mainly include land data collec
@ -577,7 +581,9 @@ The functional requirements of this architecture mainly include land data collec
</tr>
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!!!
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### 4.2 Data size estimation
According to the production scenario, a data set is generated every 15 minutes, and a data set occupies about 253-291 bytes. According to 291 calculation, 27.93KB of data will be added every day.
