Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
The deployment of Next-Generation Networks (NGN) is a challenge that requires integrating heterogeneous services into a global system of All-IP telecommunications. These networks c...
Igor Ruiz-Agundez, Yoseba K. Penya, Pablo Garcia B...
A recurring manual task in data integration, ontology alignment or model management is finding mappings between complex meta data structures. In order to reduce the manual effor...
Computational trust and reputation models have been recognized as one of the key technologies required to design and implement agent systems. These models manage and aggregate the...
— Dynamic scheduling management in wireless sensor networks is one of the most challenging problems in long lifetime monitoring applications. In this paper, we propose and evalua...
Qingquan Zhang, Yu Gu, Tian He, Gerald E. Sobelman