Now showing items 1-2 of 2

    • Safe data parallelism for general streaming 

      Schneider S.; Hirzel M.; Gedik, B.; Wu, Kun-Lung (Institute of Electrical and Electronics Engineers, 2015)
      Streaming applications process possibly infinite streams of data and often have both high throughput and low latency requirements. They are comprised of operator graphs that produce and consume data tuples. General streaming ...
    • SPL: an extensible language for distributed stream processing 

      Hirzel M.; Schneider S.; Gedik, B. (Association for Computing Machinery, 2017)
      Big data is revolutionizing how all sectors of our economy do business, including telecommunication, transportation, medical, and finance. Big data comes in two flavors: data at rest and data in motion. Processing data in ...