Abstract. Data declustering speeds up large data set retrieval by partitioning the data across multiple disks or sites and performing retrievals in parallel. Performance is determi...
Hak-Cheol Kim, Mario A. Lopez, Scott T. Leutenegge...
— In this paper we investigate the performance of an adaptive coded modulation (ACM) system in single-input multiple-output Rayleigh fading channels with spatial correlation. The...
MultiMap is an algorithm for mapping multidimensional datasets so as to preserve the data's spatial locality on disks. Without revealing disk-specific details to applications...
Minglong Shao, Steven W. Schlosser, Stratos Papado...
Partitioned query processing is an effective method to process continuous queries with large stateful operators in a distributed systems. This method typically partitions input da...
Visual data comprises of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop an adaptive data approximation technique based on a hie...