The aim of this project is to introduce Spark Clouds, which integrate spark lines into a tag cloud to convey trends between multiple tag clouds. Spark Clouds ability is to show trends compares favorably to the alternative visualizations. In the Existing System, Tag clouds are used to display the relative tag frequency, popularity, or importance by font size. They serve as a visual summary of do...

Decision tree is one of the most widely used classification methods. For massive data processing, MapReduce is a good choice. Whereas, MapReduce is not suitable for iterative algorithms. The programming model of Spark is proposed as a memory-based framework that is fit for iterative algorithms and interactive data mining. In this paper, C4.5 is implemented on both MapReduce and Spark. The resul...

Apache Spark is a popular framework for writing large scale data processing applications. Our long term goal is to develop automatic tools for reasoning about Spark programs. This is challenging because Spark programs combine database-like relational algebraic operations and aggregate operations, corresponding to (nested) loops, with User Defined Functions (UDFs). In this paper, we present a no...

Gaseous exhausts from various industries pollute the environment with fly-ash generally filtered by electrostatic precipitators (ESPs) before being released to atmosphere. This paper presents development of a controller for ESP power supply. The maintains voltage applied at its maximum average value duty cycle control that results in an improvement dust collection-efficiency. limiting factor ou...

Spark is a popular framework for writing large scale data processing applications. Our goal is to develop tools for reasoning about Spark programs. This is challenging because Spark programs combine database-like relational algebraic operations and aggregate operations with User Defined Functions (UDF s). We present the first technique for verifying the equivalence of Spark programs. We model S...

We introduce SparkCL, an open source unified programming framework based on Java, OpenCL and the Apache Spark framework. The motivation behind this work is to bring unconventional compute cores such as FPGAs/GPUs/APUs/DSPs and future core types into mainstream programming use. The framework allows equal treatment of different computing devices under the Spark framework and introduces the abilit...

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...