HotCDP 2012 - Workshop on Hot Topics in Cloud Data Processing (HotCDP 2012)

Workshop on Hot Topics in Cloud Data Processing (HotCDP 2012)

Christof Fetzer (TU Dresden), Flavio Junqueira (Yahoo! Research), Peter Pietzuch (Imperial College London)

Processing large data sets in the cloud has been dominated by the map/reduce programming model, originally proposed by Google and widely adopted through the Apache Hadoop implementation. Over the years, developers have identified weaknesses of processing data sets in batches and have proposed alternatives, such as continuous processing of data streams that has led to the development of systems like Yahoo! S4 and Twitter Storm. The cloud ecosystem, however, is rather rich in application requirements. While map/reduce and stream processing together cover a large fraction of the development space, there are still many applications that are better served by different models and systems. The main goal of the Workshop on Hot Topics in Cloud Data Processing (HotCDP) is to foster research in large-scale data processing and gather both researchers and practitioners working on data processing techniques. The venue will favor work on radical alternatives to existing models and new designs to process data in the cloud.