Benchmark Tests on Improved Merge for Big Data Processing

Computer scientists and engineers work with increasing amounts of information. These data are used for knowledge retrieval, data management decision support and so on. Sorting algorithms are important procedures that if efficiently composed and implemented can increase speed of data processing and decision correctness. Many various sorting algorithms and their modifications are applicable in large computer systems. However, as the computer architectures are more efficient with each release and the software is more complex with each version there is need to improve sorting methods applied for big data computation.

[1]  Grzegorz Chmaj,et al.  Heuristic algorithms for optimization of task allocation and result distribution in peer-to-peer computing systems , 2012, Int. J. Appl. Math. Comput. Sci..

[2]  Marcin Gabryel,et al.  Modified Merge Sort Algorithm for Large Scale Data Sets , 2013, ICAISC.

[3]  Giacomo Capizzi,et al.  Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[4]  Christian Napoli,et al.  Using Modularity Metrics to Assist Move Method Refactoring of Large Systems , 2013, 2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems.

[5]  Marcin Woźniak,et al.  Rough k nearest neighbours for classification in the case of missing input data , 2014 .

[6]  Christian Napoli,et al.  Simplified firefly algorithm for 2D image key-points search , 2014, 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI).

[7]  Marcin Woźniak,et al.  On preprocessing large data sets by the use of triple merge sort algorithm , 2014 .

[8]  G. Capizzi,et al.  A novel cloud-distributed toolbox for optimal energy dispatch management from renewables in IGSs by using WRNN predictors and GPU parallel solutions , 2014, 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion.

[9]  Tadeusz Luba,et al.  Rule Induction Based on Logic Synthesis Methods , 2014, ICSEng.

[10]  Salvador Roura Ferret.  Digital access to comparison-based tree data structures and algorithms , 1999 .

[11]  Gonzalo R. Arce,et al.  A fast weighted median algorithm based on Quickselect , 2010, 2010 IEEE International Conference on Image Processing.

[12]  Marcin Wozniak,et al.  Positioning Traffic in NoSQL Database Systems by the Use of Particle Swarm Algorithm , 2014, WOA.

[13]  Krzysztof Walkowiak,et al.  Decision Strategies for a P2P Computing System , 2012, J. Univers. Comput. Sci..

[14]  Christian Napoli,et al.  Multi-class Nearest Neighbour Classifier for Incomplete Data Handling , 2015, ICAISC.

[15]  Marcin Gabryel,et al.  Genetic Cost Optimization of the GI/M/1/N Finite-Buffer Queue with a Single Vacation Policy , 2013, ICAISC.

[16]  Grzegorz Borowik,et al.  Fast Algorithm of Attribute Reduction Based on the Complementation of Boolean Function , 2014 .

[17]  Witold Jacak,et al.  Advanced Methods and Applications in Computational Intelligence , 2015 .

[18]  Christian Napoli,et al.  A Hybrid Neuro-Wavelet Predictor for QoS Control and Stability , 2013, AI*IA.

[19]  Tadeusz Luba,et al.  Logic synthesis method for pattern matching circuits implementation in FPGA with embedded memories , 2009, 2009 12th International Symposium on Design and Diagnostics of Electronic Circuits & Systems.

[20]  Marcin Wozniak,et al.  On Applying Cuckoo Search Algorithm to Positioning GI/M/1/N Finite-Buffer Queue with a Single Vacation Policy , 2013, 2013 12th Mexican International Conference on Artificial Intelligence.

[21]  Mariusz Rawski,et al.  Signal Processing System for Guided Wave-Based SHM Technique , 2013 .

[22]  Marcin Gabryel,et al.  A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning , 2014, Int. J. Appl. Math. Comput. Sci..

[23]  Roberto Grossi,et al.  Search Data Structures for Skewed Strings , 2003, WEA.

[24]  R. Ciupa,et al.  International Conference , 2023, In Vitro Cellular & Developmental Biology - Animal.

[25]  Grzegorz Borowik,et al.  Boolean Function Complementation Based Algorithm for Data Discretization , 2013, EUROCAST.

[26]  G. Capizzi,et al.  Optimal management of various renewable energy sources by a new forecasting method , 2012, International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion.

[27]  Grzegorz Chmaj,et al.  Progress in Systems Engineering - Proceedings of the Twenty-Third International Conference on Systems Engineering, ICSEng 2014, Las Vegas, NV, USA, August 19-21, 2014 , 2014, ICSEng.

[28]  Marcin Woźniak,et al.  The Expert System Supporting Design of the Manufacturing Information Acquisition System (MIAS) for Production Management , 2014 .

[29]  Tadeusz Luba,et al.  Energy characteristic of a processor allocator and a network-on-chip , 2011, Int. J. Appl. Math. Comput. Sci..

[30]  G. Capizzi,et al.  Recurrent neural network-based control strategy for battery energy storage in generation systems with intermittent renewable energy sources , 2011, 2011 International Conference on Clean Electrical Power (ICCEP).

[31]  Christian Napoli,et al.  A Cloud-Distributed GPU Architecture for Pattern Identification in Segmented Detectors Big-Data Surveys , 2016, Comput. J..

[32]  Marcin Woźniak,et al.  A Software Architecture Assisting Workflow Executions on Cloud Resources , 2015 .

[33]  Marcin Gabryel,et al.  On Applying Evolutionary Computation Methods to Optimization of Vacation Cycle Costs in Finite-Buffer Queue , 2014, ICAISC.