Y.-G. Zhao

Efficient Storage and Query Optimization for Large-Scale Data Sets in Distributed Architectures

Experimental results demonstrate that the proposed optimization solution can effectively cut storage redundancy overhead, improve cluster resource utilization, drastically reduce query latency for large-scale data, and raise concurrent throughput.