Abstract
Because context-aware services, such as those for home and building energy management systems, need many sensors to enable us to understand our surrounding environment, the use of sensors has been increasing all over the world. We can obtain vast amounts of information with these sensors, but they raise one serious problem that is how to collect, store, and analyze data. Although a key-value store (KVS) is a newer way than a traditional relational database (RDB) of constructing database management system, the KVS involves optimized write processing and the RDB involves optimized read processing. In this paper, we propose an efficient and highly available distributed data management system (DDMS) that consists of three components of a PUCC node, stream manager, and data manager. We evaluated the query-processing performance with YCSB and revealed that the performance could be improved by combining the data manager with the stream manager.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
