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...developing countries face significant challenges in network access, making even simple network tasks unpleasant. many standard techniques...and thereafter has instant access. in addition, sulula allows users to schedule data uploads. experimental results show significant...
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...proliferation of large public displays in urban cityscape gives rise to applications distributed between public displays and mobile...of the platform with multiple distributed applications in authentic setting in a city center. we found...
Published in 2010.
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...methodologies that are technology oriented in nature. today, network connectivity is increasing even in the most remote locations and electronic data input is gradually becoming less...traditional web applications to function. in cognizance of intermittent to zero bandwidth availability in rural locations, we propose coco (connect-online, connect-offline), a data input framework designed to seamlessly...
Published in 2010.
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...özsu-valduriez textbook principles of distributed database systems [10] reflects the evolution of distributed data management and distributed database systems. in this new edition, the fundamental...support the
requirements of important data-intensive applications (e.g. social networks, web data analytics, scientific applications,
etc.), new distributed data management techniques and systems (e...
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...need of mining over decentralised data sources. data mining techniques involving
in such complex environment must encounter great dynamics due to changes in the system can affect the...of multi-agent system and distributed data mining,
also known as agent-based distributed data mining, in terms of significance, system overview...
Published in 2009.
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...on one class of such distributed problem solving tasks—analysis and modeling of distributed data. this paper offers a perspective on ddm algorithms in the context of multi- agents...scenarios. it reviews algorithms for distributed clustering, including privacy- preserving ones. it describes challenges for clustering in sensor-network environ- ments, potential shortcomings of the...
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...application(soldier location streams), etc. in these environments, all stream data generally have these characters: continuous and unbounded, distributed and evolvable over time. so, distributed data stream model was provided, which...1 s t i of data on all nodes in real time. in order to understand the challenge in monitoring outliers over distributed nodes, there are two straightforward...
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...internet. so handy and robust data exchange in various network environments is still a challenging task for remote hybrid testing...tests were performed over various network environments. the results showed that netslab was efficient and robust for data exchange in remote hybrid testing....
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...can be used to support distributed data mining. grid-based data mining uses grids as decentralized high-performance platforms where to exe- cute data mining tasks and knowledge discovery...we outline some research activities in grid-based data mining, some challenges in this area and sketch some...
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data intensive grid is meant for efficient data sharing in large scale distributed data storage environment, which is a promising way...dynamic nodes participation and unstable network connection. adding data replicas in the data grid environment can improve data availability and response time and...