01775nam a2200217 a 4500 00025017 120425s2011 xxu eng d 3846509272 (paperback) 9783846509272 (paperback) 004 22 Elmongui, Hicham. Streamlined mapreduce : massively parallel processing of data streams / Hicham Elmongui. [S.l.] : LAP LAMBERT Academic Publishing, 2011. 180 p. ; 22 cm. Critical applications affect human lives, their safety and their privacy. The navigation of emergency services or fire trucks would be efficient if traffic jams are avoided. Proactive disaster control would be possible with automated traffic surveillance. Several critical applications need an infrastructure that provides efficient processing of real-time data, which enables the provisioning of useful pieces of information in real-time. The first step into building such an infrastructure is to provide for the massively parallel processing of streamed data, which is the core of this book. In this book, we describe the design and implementation of a stream-based distributed processing system for continuous queries. Inspired by Google's MapReduce programming model running on Google File System, we build a distributed stream system and an in-memory MapReduce runtime environment to enable developers post their continuous queries on data streams to be processed in real time. Database management. Cloud computing Programming 12094 12094 0 0 ddc 0 0 BRACUL BRACUL GEN 2012-04-25 karim International 7200.00 0 004 ELM 3010025017 2012-04-25 1 2012-04-25 BK