Browsing by Author "Ahmed N"
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- ItemA comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench(BioMed Central Ltd, 2020-12-14) Ahmed N; Barczak ALC; Susnjak T; Rashid MABig Data analytics for storing, processing, and analyzing large-scale datasets has become an essential tool for the industry. The advent of distributed computing frameworks such as Hadoop and Spark offers efficient solutions to analyze vast amounts of data. Due to the application programming interface (API) availability and its performance, Spark becomes very popular, even more popular than the MapReduce framework. Both these frameworks have more than 150 parameters, and the combination of these parameters has a massive impact on cluster performance. The default system parameters help the system administrator deploy their system applications without much effort, and they can measure their specific cluster performance with factory-set parameters. However, an open question remains: can new parameter selection improve cluster performance for large datasets? In this regard, this study investigates the most impacting parameters, under resource utilization, input splits, and shuffle, to compare the performance between Hadoop and Spark, using an implemented cluster in our laboratory. We used a trial-and-error approach for tuning these parameters based on a large number of experiments. In order to evaluate the frameworks of comparative analysis, we select two workloads: WordCount and TeraSort. The performance metrics are carried out based on three criteria: execution time, throughput, and speedup. Our experimental results revealed that both system performances heavily depends on input data size and correct parameter selection. The analysis of the results shows that Spark has better performance as compared to Hadoop when data sets are small, achieving up to two times speedup in WordCount workloads and up to 14 times in TeraSort workloads when default parameter values are reconfigured.
- ItemEffects of modulation techniques RZ, NRZ, and CSRZ on the operation of hybrid OCDMA/WDM system for gigabit passive optical networks(2017 IAMOT, 2017-07) Ahmed N; Rashid MAIn this paper, the performance of hybrid optical code division multiple access/wavelength division multiplexing (OCDMA/WDM) system is evaluated for gigabit passive optical network (GPON). We have investigated, compared and analyzed various modulation techniques for 5 km distance with channel transmission rates at 2.5Gbps and 5 Gbps for OCDMA and WDM respectively. The Enhance Double Weight (EDW) code is used as a signature address for this system for studying the system limitations, benefits, and capabilities in order to transmit signal and handle high data traffic for the future multi gigabit optical networks. Simulation results revealed that Non-return to Zero (NRZ) modulation format provides better performance considering Bit-Error-Rate of 10E-13 and 11.608 dBm received optical power. The overall system performance using NRZ is increased by 17% and 33% against RZ and CSRZ.