Transactions on Large-Scale Data- and Knowledge-Centered by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Visit

By Abdelkader Hameurlain, Josef Küng, Roland Wagner, Visit Amazon's Sherif Sakr Page, search results, Learn about Author Central, Sherif Sakr, , Lizhe Wang, Albert Zomaya

The LNCS magazine Transactions on Large-Scale information- and Knowledge-Centered platforms makes a speciality of information administration, wisdom discovery, and data processing, that are center and scorching themes in machine technology. because the Nineties, the net has develop into the most motive force at the back of program improvement in all domain names. a rise within the call for for source sharing throughout various websites attached via networks has ended in an evolution of information- and knowledge-management platforms from centralized structures to decentralized structures allowing large-scale allotted purposes offering excessive scalability. present decentralized structures nonetheless specialize in information and data as their major source. Feasibility of those platforms is based primarily on P2P (peer-to-peer) strategies and the help of agent structures with scaling and decentralized regulate. Synergy among grids, P2P structures, and agent applied sciences is the main to facts- and knowledge-centered platforms in large-scale environments. This, the 20 th factor of Transactions on Large-Scale information- and Knowledge-Centered platforms, offers a consultant and valuable collection of articles protecting quite a lot of vital issues within the area of complex strategies for giant facts administration. great info has develop into a favored time period, used to explain the exponential progress and availability of knowledge. the hot radical enlargement and integration of computation, networking, electronic units, and information garage has supplied a strong platform for the explosion in huge facts, in addition to being the capability through which huge information are generated, processed, shared, and analyzed. mostly, info are just necessary if which means and price may be extracted from them. tremendous information discovery allows info scientists and different analysts to discover styles and correlations via research of huge volumes of knowledge of numerous kinds. Insights gleaned from immense information discovery offers companies with major aggressive merits, resulting in extra profitable advertising campaigns, reduced patron churn, and diminished loss from fraud. In perform, the turning out to be call for for large-scale information processing and information research functions has spurred the advance of novel suggestions from either and academia.

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Extra info for Transactions on Large-Scale Data- and Knowledge-Centered Systems XX: Special Issue on Advanced Techniques for Big Data Management

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We also plan to perform experiments to evaluate the applicability of EETPS to unstructured and semi-structured data. Furthermore, we plan to build the API for EETPS that will allow the users to retrieve data from EET. We also plan to focus on the scalability of EET and EETPS, and evaluate the performance in a scalable environment. Acknowledgments. All authors wish to acknowledge UTS FEIT Research Seed Fund 2014 for financial support, and George Feuerlicht wishes to acknowledge the support of GAČR grant No.

We design a learning model to capture the dynamic behaviour of streaming video demand. The model makes predictions based on lightweight measurements of the request arrival process. Using a novel machine-learned ranking, we predict demand of a video accurately. Thus, the higher the rank position, the higher the demand for fresh replicas. According to the video ranking position, VoD services operators can define and evaluate different replication policies. For instance, top-ranked Internet videos may be twice as much replicated as those ranked in the second position.

The aim of peer-assisted VoD systems is to take advantage of both infrastructure-based resources and P2P communication facilities. Huang et al. [17] suggest the use of peer-assisted VoD systems to improve resource allocation for Internet video delivery. g. set-top-boxes, contribute with storage and bandwidth to video delivery, reducing dramatically the burden on infrastructure-based servers, and cutting operations costs. Many recent studies [10,18,25] confirm that exploring peer-assisted VoD system permits enhancing resource allocation for streaming videos, but none has properly evaluated the performance of video delivery regarding SLA enforcement.

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