Information has become a key commodity for most service providers. Analyzing streams of data efficiently, in real time, has become increasingly more important for supporting new products and applications. This paper outlines a novel abstraction for performing incremental stream processing based on Computational Conflict-free Replicated Data Types. C-CRDTs are replicated objects that can be updated concurrently without coordination to perform a computation and still converge to a consistent state that reflects all contributions. Results obtained with a preliminary prototype show that C-CRDTs have the potential to match and improve computational throughput when compared with a state of the art stream processing system.
|Title of host publication||Proceedings of the 3rd International Workshop on Cloud Data and Platforms (CloudDP'13)|
|Publication status||Published - 1 Jan 2013|
|Event||CloudDP'13: 3rd International Workshop on Cloud Data and Platforms - |
Duration: 1 Jan 2013 → …
|Conference||CloudDP'13: 3rd International Workshop on Cloud Data and Platforms|
|Period||1/01/13 → …|