Cloud Centric Real Time Mobile Learning System for Computer Science
Shah Muhammad Butt
Department of Computer Science,
Shah Abdul Latif University, Khairpur.
Abstract-The emerging concept of cloud computing, and advancement in mobile devices enabled with Sensor technologies transforms many areas of modern day living. The main advantage of the cloud centric environment is that this technology reduces the infrastructure and software cost and License for all. Mobile learning (M- learning) is considering more effective system of providing study materials to learners anywhere anytime. It is necessary to develop the robust contents delivery
Keywords: Cloud Computing, Mobile Learning Cost effective Cloud, Mobile Cloud
II. Introduction: The propagation of mobile devices that comprise smart phones, ipads, laptops, PDAs, tablets and kindles inside an ecosystem that is gradually online, creates the acceptance of program driven through technology conceivable 123. These gadgets are sharing daily lives of more and more personal of all ages. Mobile learning will more obscure the peripheries of conventional learning areas. Smart economical mobile devices will build learning accessible anytime and anywhere. Mobile devices can mechanism for learning which can be accessed from internet enabled mobile devices. In this paper, we discuss the impact of cloud computing and supporting technologies to acquire education in broader dimension for the students over the country. We believe cloud based mobile learning will surely enhance the current educational system and improve the education quality at low cost.
be used to access information and multimedia related to locations, study through mobile apps, access online class materials, and communicate through email, text, and social networks 4. The Cloud based applications are consider as Internet oriented services on shared and manageable infrastructure (Figure: 1). Due to its Elasticity and the customized software and the Infrastructure and the cost effectiveness; the technology rapidly adopted for business, educational and other discipline 5.
Figure-1: Cloud Computing
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III. Background: Providing reliable computational / storage services for learning and research have stand facing immense6challenges. Cloud Computing provide a cost effective and elastic IT solutions for learning environment7. Cloud computing is a paradigm shifting that provides applications, data storage and processing power over the Internet. The three service models of the cloud are SaaS, PaaS and IaaS (Figure: 2); all are enable users to run and store applications and data online. Software as a Service is the effortless method to extend software services where applications middleware are processed and accessed over the Internet. Many online word processor, spreadsheets and presentation packages are made available for public freely or offered on Pay-As-You-Go (PAYGo) model; which offers data processing and storage services. These renowned public cloud providers such as Google, Microsoft and IBM offer various SaaS applications for educational purposes. Platform as a Service (PaaS) provides customized tools and development environment that enables users to design, develop, run and maintain their specific applications online; App Engine by Google, Azure by Microsoft, Amazon AWS (Amazon Web Service) and, IBM Tivoli offering PaaS cloud Services. The Infrastructure as a Service (IaaS) model provides infrastructure services; the organizations acquire components such as computing power, Network Services and storage capacity with complete control over the entire IT infrastructure including the hosting environment and replications 8.Clouds promote9 the delivery of enterprise class Network services provide following services, i.e. (virtualization, network intelligence, Storage and a robust ecosystem). The mobile platform is greatly impacted by this technology as well. Mobile Cloud Computing, speculates that the cloud will rapidly turn out to be a backbone in the mobile world, ultimately occurring the leading technique in which mobile applications operate. Users of Smartphones mobiles have Internet access through 3G services and WiFi networking and the interoperability between networks 10. The advance functionality of smartphones allows several applications can provide context-aware information about the real time movement, location, and reception on the mobile and store, produce, and share multimedia data using built-in cameras and microphones. According to ITU 11at the end of 2013, over 5 billion mobile subscriptions in the world. According to Hamblen, smartphones accounted for more than 500 million 2013.
Figure 2: Traditional I.T Architecture vs. Cloud Computing Architecture.
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Mobile Cloud Computing 12 supporting various applications containing M-Commerce, M-Learning, M-healthcare, M-Banking and M-Gaming and many other areas. Mobile applications obtained significant global mobile market share several mobile applications have grasped the benefit of Mobile Cloud Computing;13
1 P. Gupta and S. Gupta, “Mobile Cloud Computing : The Future of Cloud,” vol. 1, no. 3, pp. 134–145, 2012.
2 H. T. Dinh, C. Lee, D. Niyato, and P. Wang, “A Survey of Mobile Cloud Computing : Architecture , Applications , and Approaches,” no. Cc, pp. 1–38, 2011.
3 N. Fernando, S. W. Loke, and W. Rahayu, “Mobile cloud computing: A survey,” Futur. Gener. Comput. Syst., vol. 29, no. 1, pp. 84–106, Jan. 2013.
4 N. M. Rao, “Cloud Computing Through Mobile-Learning,” vol. 1, no. 6, 2010.
5 T. Soyata, H. Ba, and W. Heinzelman, “Accelerating Mobile-Cloud Computing : A Survey,” 2013.
6 W. Alsaggaf, M. Hamilton, and J. Harland, “Mobile Learning in Computer Science Lectures,” Int. J. e-Education, e-Business, e-Management e-Learning, vol. 2, no. 6, 2012.
7 I. A. Alshalabi, S. Hamada, and K. Elleithy, “Research Learning Theories that Entail M-Learning Education Related to Computer Science and Engineering Courses,” vol. 2, no. March, pp. 88–95, 2013.
8 D. Fesehaye, Y. Gao, K. Nahrstedt, and G. Wang, “Impact of Cloudlets on Interactive Mobile Cloud Applications,” 2012 IEEE 16th Int. Enterp. Distrib. Object Comput. Conf., pp. 123–132, Sep. 2012.
9 K. Kim, S. Lee, and P. Congdon, “On Cloud-Centric Network Architecture for Multi-Dimensional Mobility Categories and Subject Descriptors,” pp. 1–6, 2011.
10 E. Zaharescu, “Enhanced Virtual E-Learning Environments Using Cloud Computing Architectures,” vol. 2, pp. 31–41, 2012.
11 Z. Sanaei, S. Abolfazli, A. Gani, and S. Member, “Heterogeneity in Mobile Cloud Computing : Taxonomy and Open Challenges,” pp. 1–24, 2012.
12 C. Savill-smith, “Mobile learning anytime everywhere Mobile learning anytime everywhere,” 2004.
13 S. Pisey, P. L. Ramteke, and B. R. Burghate, “Mobile learning exploring the challenges and opportunities of distance education,” vol. 2, no. 3, pp. 19–23, 2012.
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- Shah Muhammad Butt (Author), 2014, Cloud Centric Real Time Mobile Learning System for Computer Science, Munich, GRIN Verlag, https://www.grin.com/document/271355