UCLA

Today, we have many systems that generate data stream. All of the existing scalable system for storage of potentially infinite data were not designed for storing heterogeneous data streams. Utilization of these systems for the data stream persistence and data query would be highly inefficient. Hence, we aim at designing a system which makes use of characteristics of heterogeneous data stream viz. chronological, immutable and potentially infinite to support efficient storage and retrieval of social heterogeneous data streams. To elaborate, the system can 1. Store limitless data 2. Support time based range queries 3. Search patterns in single data stream 4. Search patterns between multiple data streams. To conclude, designing such a system is a first step towards enormous pool of future work.