As a result of this course, students will:
(1) Have a deeper insight into relevant issues on wireless networks, including Cloud Computing (CC), WSN (wireless sensor network), Internet of Thing (IOT) and so on. Their relevant essential operational principles/theories would be further addressed as well.

(2) Establish the capability of reading technical documentations and materials or other relevant specifications on the state-of-the-art technology on network applications.

(3) Every student would be assigned an EI-indexed/SCI-indexed technical paper of which each one must study the paper thoroughly and in great details. Moreover, each one must present his/her study openly in the class, where other students would question the presentation on site to strengthen their presentation skill.

As a result of this course, students will:
(1) Have a deeper insight into relevant issues on wireless networks, including Cloud Computing (CC), WSN (wireless sensor network), Internet of Things (IOT) and so on. Their relevant essential operational principles/theories would be further addressed as well.

(2) Establish the capability of reading technical documentation and materials or other relevant specifications on the state-of-the-art technology on network applications.

(3) Every student would be assigned an EI-indexed/SCI-indexed technical paper of which each one must study the paper thoroughly and in great details. Moreover, each one must present his/her study openly in the class, where other students would question the presentation on site to strengthen their presentation skill.

This course will first introduce the overview of computer network concepts, including OSI layers, main-stream network protocols, and network simulation environments. Students will be asked to practices network topology and simulations using NS2 simulator. In the 2nd half of this course, it will focus on the design and implementation of innovative network applications related to social networks, cloud computing, and so on. Term project discussion and implementation will help students to have the experiences and capability of building a large scale internet application.

This course will first introduce the overview of computer network concepts, including OSI layers, main-stream network protocols, and network simulation environments. Students will be asked to practices network topology and simulations using NS2 simulator. In the 2nd half of this course, it will focus on the design and implementation of innovative network applications related to social networks, cloud computing, and so on. Term project discussion and implementation will help students to have the experiences and capability of building a large scale internet application.

References:
6. R. Costa, et al.,”Just in Time Clouds: Enabling Highly-Elastic Public Clouds over Low Scale Amortized Resources,” 2011.

5. X. Li, Y. Li, T. liu, J. Qiu and F. Wang, “The Method and Tool of Cost Analysis for Cloud Computing,” in: IEEE International Conference on Cloud Computing, 2009, pp.93-100. (IBM China Research Lab. Beijing, 100913, China.)

4. J. Baliga, R.W.A. Ayre, K. Hinton and R.S. Tucker, “Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport,” Proceedings of The IEEE, vol. 99, No. 1, pp.149-167, 2011. (19 pages)

3. H. Liu, “Big Data Drives Cloud Adoption in Enterprise,” IEEE Internet Computing, pp.68-71, July/August 2013. (4 pages)

2. J. Cao, K. Hwang, K. Li and A. Y. Zomaya, “Optimal Multiserver Configuration for Profit Maximization in Cloud Computing,” IEEE Transactions on Parallel and Distributed Systems, vol.xx, no. xx, pp. xx-xx, 2012. (11 pages)

1. A. Greenberg, J. Hamilton, D.A. Maltz and P. Patel, “The Cost of a Cloud: Research Issues in Data Center Networks, “ In ACM Sigcomm. January 2009. (6 pages)

References:
6. R. Costa, et al.,”Just in Time Clouds: Enabling Highly-Elastic Public Clouds over Low Scale Amortized Resources,” 2011.

5. X. Li, Y. Li, T. liu, J. Qiu and F. Wang, “The Method and Tool of Cost Analysis for Cloud Computing,” in: IEEE International Conference on Cloud Computing, 2009, pp.93-100. (IBM China Research Lab. Beijing, 100913, China.)

4. J. Baliga, R.W.A. Ayre, K. Hinton and R.S. Tucker, “Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport,” Proceedings of The IEEE, vol. 99, No. 1, pp.149-167, 2011. (19 pages)

3. H. Liu, “Big Data Drives Cloud Adoption in Enterprise,” IEEE Internet Computing, pp.68-71, July/August 2013. (4 pages)

2. J. Cao, K. Hwang, K. Li and A. Y. Zomaya, “Optimal Multiserver Configuration for Profit Maximization in Cloud Computing,” IEEE Transactions on Parallel and Distributed Systems, vol.xx, no. xx, pp. xx-xx, 2012. (11 pages)

1. A. Greenberg, J. Hamilton, D.A. Maltz and P. Patel, “The Cost of a Cloud: Research Issues in Data Center Networks, “In ACM Sigcomm. January 2009. (6 pages)