Challenges of Big Data and Vehicle Data
The number of connected vehicles is rapidly increasing, providing data from a large set of in-vehicle sensors and actuators. For this data, Big Data analysis plays an important role in enabling new services. We discuss the challenges of collecting and processing this data from vehicles, where processing can take place in the vehicle or in the cloud in flexible way. For this environment, we discuss the specific question of application needs and resource management, especially for big data tools in this distributed environment.
Christian Prehofer (male) works as product director for mobility services at DENSO Germany. Before this, he was research group leader for Internet of Things & Services at Fortiss in Munich and also lecturing at the TU München. Before this, he worked as Chief Researcher at Fraunhofer ESK and professor in Computer Science at TU München. Between 1998 and 2009, he held different management and research positions in the mobile communication industry. Last, he was director at Nokia Research in Helsinki, Finland. He obtained his Ph.D. and his habilitation in computer science from the TU Munich in 1995 and 2000. He is author of more than 150 publications and 34 granted patents.
Tue 28 SepDisplayed time zone: Eastern Time (US & Canada) change
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14:00 30mTalk | Challenges of Big Data and Vehicle Data ACSOS In Practice Christian Prehofer DENSO AUTOMOTIVE Deutschland GmbH |