We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
a This paper presents a novel Adaptive Dynamic Gridbased Data Distribution Management (DDM) scheme, which we refer to as ADGB. The main objective of our protocol is to optimize DDM...
Azzedine Boukerche, YunFeng Gu, Regina Borges de A...
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Combining static and dynamic information is highly relevant in many reverse engineering, program comprehension and maintenance task. Dynamic analysis is particularly effective whe...
Structured, spatial-temporal data arises in many applications areas such as transportation, sensor networks or mobile services. Peer to peer networks are the natural choice for th...