教學 (課程) 目標:
As a result of this course, students will:
(1) Have a perception of advanced network issues related with, Cloud Computing, WLAN (Wireless Local Area Network), system modeling and other Internet operational mechanisms.
(2) Obtain prerequisite concept ready for potential applications on Cloud Computing (CC) or relevant modeling domains. Several related research areas like Green CC, Power-saving CC, System Modeling and IOT (Internet of Things) may be also explored by enthusiastic learners in classroom for their future needs of career programming.
(3) Establish the capability of reading technical materials like technical SCI journals or International Conference papers (EI). It is the course goal to inspire students to address relevant promising issues on the domain of computer network.
(4) Every student would be assigned an EI-indexed or SCI 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.Teaching (Course) Objectives:
As a result of this course, students will:
(1) Have a perception of advanced network issues related with, Cloud Computing, WLAN (Wireless Local Area Network), system modeling and other Internet operational mechanisms.
(2) Obtain prerequisite concept ready for potential applications on Cloud Computing (CC) or relevant modeling domains. Several related research areas like Green CC, Power-saving CC, System Modeling and IOT (Internet of Things) may be also explored by enthusiastic learners in classroom for their future needs of career programming.
(3) Establish the capability of reading technical materials like technical SCI journals or International Conference papers (EI). It is the course goal to inspire students to address relevant promising issues on the domain of computer network.
(4) Every student would be assigned an EI-indexed or SCI 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.
Reference Materials: 參考論文與文獻資料
1. Qi Zhang, Lu Cheng and Raouf Boutaba, “Cloud computing: state-of-the-art and research challenges,” Journal of Internet Service and Applications (2010) 1: 7–18
2. M. Armbrust, et al., “Above the clouds: a Berkeley view of cloud computing,” Technical Report No. UCB/EECS-2009-28, February 2009.
3. 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. 24, no. 6, pp. 1087-1096, 2013.
4. Fuu-Cheng Jiang, Chao-Tung Yang, Ching-Hsien Hsu, and Yi-Ju Chiang, "Optimization Technique on Logistic Economy for Cloud Computing using Finite-Source Queuing Systems," The 4th IEEE International Conference on Cloud Computing Technologies and Science (IEEE CloudCom 2012), December 3-6, 2012, Taipei, Taiwan [EI]
5. “Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility,” Future Generation Computer Systems, vol. 25, no. 6, pp. 599-616, 2009.
6. A. Beloglazov and R. Buyya, “Energy Efficient Resource Management in Virtualized Cloud Data Centers,” Proc. 10th IEEE/ACM Int’l Conf. Cluster, Cloud and Grid Computing (CCGrid 10), IEEE CS, 2010, pp. 826–831.
7. P. Graubner, M. Schmidt, and B. Freisleben, “Energy-efficient Management of Virtual Machines in Eucalyptus,” Proc. 4th IEEE Int’l Conf. Cloud Computing, IEEE, 2011, pp. 243–250.
8. J. Gubbi, R. Buyya, S. Maarusic and M. Palaniswami, " Internet of Things (IoT): A vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, pp. 1645-1660, 2013.
Reference Materials: Reference papers and literature
1. Qi Zhang, Lu Cheng and Raouf Boutaba, “Cloud computing: state-of-the-art and research challenges,” Journal of Internet Service and Applications (2010) 1: 7–18
2. M. Armbrust, et al., “Above the clouds: a Berkeley view of cloud computing,” Technical Report No. UCB/EECS-2009-28, February 2009.
3. 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. 24, no. 6, pp. 1087-1096 , 2013.
4. Fuu-Cheng Jiang, Chao-Tung Yang, Ching-Hsien Hsu, and Yi-Ju Chiang, "Optimization Technique on Logistic Economy for Cloud Computing using Finite-Source Queuing Systems," The 4th IEEE International Conference on Cloud Computing Technologies and Science (IEEE CloudCom 2012), December 3-6, 2012, Taipei, Taiwan [EI]
5. "Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility," Future Generation Computer Systems, vol. 25, no. 6, pp. 599-616, 2009.
6. A. Beloglazov and R. Buyya, “Energy Efficient Resource Management in Virtualized Cloud Data Centers,” Proc. 10th IEEE/ACM Int'l Conf. Cluster, Cloud and Grid Computing (CCGrid 10), IEEE CS, 2010, pp . 826–831.
7. P. Graubner, M. Schmidt, and B. Freisleben, “Energy-efficient Management of Virtual Machines in Eucalyptus,” Proc. 4th IEEE Int'l Conf. Cloud Computing, IEEE, 2011, pp. 243–250.< br />
8. J. Gubbi, R. Buyya, S. Maarusic and M. Palaniswami, "Internet of Things (IoT): A vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, pp. 1645- 1660, 2013.
評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
---|---|---|
Mid-term ExaminationMid-term Examination mid-term examination |
40 | |
Final ExaminationFinal Examination final examination |
40 | |
Assignments or ProjectsAssignments or Projects assignments or projects |
20 |