By James J. (Jong Hyuk) Park, Han-Chieh Chao, Hamid Arabnia, Neil Y. Yen
This quantity brings jointly contributions representing the cutting-edge in new multimedia and destiny expertise info learn, presently a massive subject in computing device technological know-how and digital engineering. Researchers goal to interoperate multimedia frameworks, remodeling the best way humans paintings and engage with multimedia info. This ebook covers destiny details know-how themes together with electronic and multimedia convergence, ubiquitous and pervasive computing, clever computing and functions, embedded platforms, cellular and instant communications, bio-inspired computing, grid and cloud computing, semantic internet, human-centric computing and social networks, adaptive and context-aware computing, safeguard and belief computing and comparable areas.
Representing the mixed complaints of the ninth overseas convention on Multimedia and Ubiquitous Engineering (MUE-15) and the tenth overseas convention on destiny details know-how (Future Tech 2015), this ebook goals to supply a whole insurance of the components defined and to assemble researchers from educational and and different practitioners to percentage their learn principles, demanding situations and suggestions.
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Extra resources for Advanced Multimedia and Ubiquitous Engineering: Future Information Technology Volume 2
Each Map task processes one of these chunk ﬁles. This resulted in a total dataset size of approximately 250, which was copied to the local storage as well as to Azure blob storage service. We used three datasets for Wordcount application benchmark (Small S 100 MB, Medium M 200 MB, Large L 250 MB). The datasets used to test MapReduce loaded input ﬁles execution times issue on the wordcount example jobs that come with the Hadoop distribution. 0. 2 Evaluation Result This section presents the evaluation results for our work in enhancing MapReduce using the data reduction.
Furthermore, the ﬁve activities are done repeatedly as similar as activities in spiral model of software development. In spiral model of cryptographic protocol design, activities of formalization and interpretation are performed many times. Moreover, it is time-consuming for designers to perform those activities, and designers may make mistakes in those activities. This paper presents a supporting tool for the ideal process of cryptographic protocol design. At ﬁrst, the paper presents the spiral model of cryptographic protocol design, and introduces formal analysis method with reasoning as a suitable formal analysis method for the spiral model.
All previous research, in particular [13, 16, 17], focused on extracting DDoS features. Using these features they were able to detect and ﬁlter DDoS packets. We believe that these methods by themselves cannot detect DDoS attacks. To the best of our knowledge, the most popular defense against flash crowd attacks is the use of graphical puzzles to differentiate between humans and bots . This method involves human responses and can be annoying to users. In [19, 20], Xie and Yu tried to differentiate DDoS attacks from flash crowds at the application layer based on user browsing dynamics.