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This paper presents several efficient ways to improve data loading and storage optimization in Hadoop cluster. We design a new method to leverage LZMA and ORC to gain performance edge, also improve ORC implementation in HDFS to have a higher compression ratio and better IO throughput. A complete optimization strategy for efficient big data loading, including byte array-oriented, record split, less...
This paper deals with the design of linear-phase finite impulse response (FIR) digital filters using weighted peak-constrained least-squares (PCLS) optimization. The PCLS error design problem is formulated as a quadratically constrained quadratic semi-infinite programming problem. An exchange algorithm with a new exchange rule is proposed to solve the problem. The algorithm provides the approximate...
Traveling salesman problem (TSP) is a typical NP-complete problem, of which the search space increases with the number of cities. Genetic algorithm (GA) is an efficient optimization algorithm characterized with explicit parallelism and robustness, applicable to TSP. In this paper, we compare the performance of the existing GAs in searching the solution for TSP and find a superior combination of crossover...
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