By Amlan Chakrabarti, Neha Sharma, Visit Amazon's Valentina Emilia Balas Page, search results, Learn about Author Central, Valentina Emilia Balas,
This edited quantity offers the most recent high quality technical contributions and examine leads to the components of computing, informatics, and data administration. The e-book offers with state-of paintings issues, discussing demanding situations and attainable ideas, and explores destiny examine instructions. the most aim of this quantity isn't just to summarize new study findings but additionally position those within the context of prior paintings. This quantity is designed for pro viewers, composed of researchers, practitioners, scientists and engineers in either the academia and the industry.
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Extra resources for Advances in Computing Applications
Manipur University, Imphal Copyright INFLIBNET Centre, Ahmedabad, pp 83–90 6. Mönnich M, Spiering M (2008) Adding value to the library catalog by implementing a recommendation system. D-Lib Mag 14(5):4 7. Prakasam S (2010) An agent-based intelligent system to enhance e-learning through mining techniques. Int J Comput Sci Eng 8. Morales-del-Castillo JM, Peis E, Herrera-Viedma E (2010) A ﬁltering and recommender system for e-scholars. Int J Technol Enhanc Learn 2(3):227–240 9. Pakdeetrakulwong U, Wongthongtham P (2013) State of the art of a multi-agent based recommender system for active software engineering ontology.
In: Rough sets and current trends in computing. Springer, Berlin, pp 397–404 18. Gunawardana A, Shani G (2009) A survey of accuracy evaluation metrics of recommendation tasks. J Mach Learn Res 10:2935–2962 Chapter 3 An Efﬁcient Dynamic Scheduling of Tasks for Multicore Real-Time Systems Kalyan Baital and Amlan Chakrabarti Abstract Embedded real-time systems are increasing day by day to execute high-performance-oriented applications on multicore architecture. Efﬁcient task scheduling in these systems are very necessary so that majority of the tasks can be scheduled within their deadline and thus providing the needed throughput.
If we increase the periodicity, keeping the execution time constant, the value of ‘w’ decreases, and the formulas for release-time and deadline provide a scatter values. The scatter value of release-time of job and deadline of the job is easily ﬁtted into the system. In our experimental result, 4 jobs found the idle time at different cores when the period of the new task is 12 ms, but only one could be allocated because others could not be ﬁtted within their deadline. We draw a graph with the experimental results, illustrating the variation in number of jobs getting accommodated with the increase in the periodicity of tasks (Fig.