Spark is gaining wide industry adoption due to its superior performance, simple interfaces, and a rich library for analysis and calculation. Like many projects in the big data ecosystem, Spark runs on the Java Virtual Machine (JVM). Because Spark can store large amounts of data in memory, it has a major reliance on Java’s memory management and garbage collection (GC). New initiatives like Proje...

MapReduce and Spark are two very popular open source cluster computing frameworks for large scale data analytics. These frameworks hide the complexity of task parallelism and fault-tolerance, by exposing a simple programming API to users. In this paper, we evaluate the major architectural components in MapReduce and Spark frameworks including: shuffle, execution model, and caching, by using a s...

.........................................................................................................................3 INTRODUCTION ................................................................................................................5 DIESEL ENGINE TECHNOLOGY AND EMISSION REGULATIONS .............................7 PHYSICAL AND CHEMICAL NATURE OF DIESEL AEROSOL ......................

The spark energy transferred under the highly stratified conditions during late injection in a spray-guided spark-ignition direct-injection (SG-SIDI) engine is not well characterized. The impact of high pressures, temperatures, velocities, and variations in local fuel concentration along with temporal and/or spatial variations on spark performance must be better characterized. Previous spark ig...

During the 2015-2016 academic year, I conducted research about Spark, BlinkDB and various sampling techniques. This research helped the team have a better understanding of the capabilities and properties of Spark, BlinkDB system and different sampling technologies. Additionally, I benchmarked and implemented various Machine learning and sampling methods on the top of both Spark and BlinkDB. The...

Apache Spark has become a key platform for Big Data Analytics, yet it lacks complete support for debugging analytics programs. As a result, the development of a new analytical toolkit can be a painstakingly long process [7, 2, 4]. To fill this gap, we are developing Spark-BDD (Big Data Debugger), which brings a traditional interactive debugger experience to the Spark platform. Analytic programm...

temperature is one of the effective parameters in erosion of spark plug electrodes. in this research, temperature of spark plug was measured in engine's different operation conditions with two types of fuels: compressed natural gas and gasoline. test results showed that, temperature of center electrode is lower than ground electrode and maximum difference between them is 110ºc that occurs ...

In the mid 1980s the monolithic nature of building energy simulation programs led to proposals for development of so-called "kernel systems," i.e., software environments that would make available to developers basic software modules and a supporting framework that could be used to construct new building simulation software. One of the outcomes of the ensuing work was the Simulation Problem Anal...

In this work, TiCrNiVSi0.1 coatings were prepared on TC4 alloy by CNC-controlled automatic electro-spark deposition (ESD). The TOPSIS-based Taguchi method was applied for multi-criteria optimization of ESD coating quality. Frequency (f), capacitance (c), and electrode moving speed (v) considered process parameters optimizing the quality criteria, which included thickness, coverage, porosity in ...