Meeting VOD growth projections with a CDN architecture

Hluchyj, Mike
June 2010
CED;Jun2010, Vol. 36 Issue 5, p28
Trade Publication
The article offers information on the growth projections for the video on demand (VOD) viewing with a content delivery network (CDN) architecture. It states that VOD viewing is projected to become the primary choice of advertisement viewing in the next five years with the proliferation of new consumer devices. However, operators can have options such as increased storage capacity, centralized delivery, and CDN approach.


Related Articles

  • Go online to win a Dell Inspiron 1720.  // Computer Weekly;9/30/2008, p32 

    A contest concerning the measurement of data storage capacity is presented.

  • An Experiment and Outlook on Revised Hierarchical Agglomerative Clustering Method. Chuen-Min Huang; Yi-Hua Li // International Conference on Data Analysis, Data Quality & Metada;Jul2010, p58 

    While the effectiveness of Hierarchical Agglomerative Clustering (JHAC) method has been well-recognized, the limitation in processing large data set makes it lose its superiority when efficiency issue is taken into serious consideration. In this study, we propose a Revised Hierarchical...

  • Ranking with decision tree. Xia, Fen; Zhang, Wensheng; Li, Fuxin; Yang, Yanwu // Knowledge & Information Systems;Dec2008, Vol. 17 Issue 3, p381 

    Ranking problems have recently become an important research topic in the joint field of machine learning and information retrieval. This paper presented a new splitting rule that introduces a metric, i.e., an impurity measure, to construct decision trees for ranking tasks. We provided a...

  • Filtering: A Challenge and Responsibility for Learning Professionals.  // Learning Circuits;Mar2012, p5 

    The article discusses Personal Learning Networks (PLN) and its relation to the concept of filtering. It notes that the presence of PLNs increase the level of informal education among individuals. Data collection tends to be difficult due to the vast number of information, in effect, the author...

  • Proposing a New Metric for Collaborative Filtering. Bahrehmand, Arash; Rafeh, Reza // Journal of Software Engineering & Applications;Jul2011, Vol. 4 Issue 7, p411 

    The aim of a recommender system is filtering the enormous quantity of information to obtain useful information based on the user's interest. Collaborative filtering is a technique which improves the efficiency of recommendation systems by considering the similarity between users. The similarity...

  • Merging particle filter for sequential data assimilation. Nakano, S.; Ueno, G.; Higuchi, T. // Nonlinear Processes in Geophysics;2007, Vol. 14 Issue 4, p395 

    A new filtering technique for sequential data assimilation, the merging particle filter (MPF), is proposed. The MPF is devised to avoid the degeneration problem, which is inevitable in the particle filter (PF), without prohibitive computational cost. In addition, it is applicable to cases in...

  • IMPROVING SCALABILITY ISSUES USING GIM IN COLLABORATIVE FILTERING BASED ON TAGGING. Saini, Shaina; Banda, Latha // International Journal of Advances in Engineering & Technology;Jul2012, Vol. 4 Issue 1, p600 

    The paper deals with improving scalability issues in Collaborative filtering through Genre Interestingness measure approach using Tagging. Due to the explosive growth of data and information on web, there is an urgent need for powerful Web Recommender system (RS). RS employ Collaborative...

  • Spam Filtering Based on Virtual Social Network. Zhen Yang; Kefeng Fan; Yingxu Lai; Lijuan Duan; Yujian Li // International Journal of Digital Content Technology & its Applic;Nov2011, Vol. 5 Issue 11, p343 

    Social network can help to judge the trustworthiness of outsiders and was widely used in information filtering. Since the overall topological properties were hard to be obtained, the use of social network based methods was seriously limited. In this work, emails' social connections were...

  • Design and Implementation of an AHRS Based on MEMS Sensors and Complementary Filtering. Yangzhu Wang; Ning Li; Xi Chen; Miao Liu // Advances in Mechanical Engineering (Hindawi Publishing Corporati;2014, p1 

    This paper presents design and implementation of an attitude and heading reference system (AHRS) based on low-cost MEMS sensors and complementary filtering (CF). Different from traditional solutions, information fusion is performed with Euler angles directly, which is more straightforward for...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics