request engineering research papers
hadoop research papers
Verification and Validation of MapReduce Program Model for Parallel Support Vector Machine Algorithm on Hadoop Cluster
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ABSTRACT We currently live in the data age. It's not easy to measure the total volume of structured and unstructured data that require machine-based systems and technologies in order to be fully analyzed. Efficient implementation techniques are the key to meeting the
Managing Skew in Hadoop
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ABSTRACT Challenges in Big Data analytics stem not only from volume, but also variety: extreme diversity in both data types (eg, text, images, and graphs) and in operations beyond relational algebra (eg, machine learning, natural language processing, image processing,
Hone:Scaling Down Hadoop on Shared-Memory Systems
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ABSTRACT The underlying assumption behind Hadoop and, more generally, the need for distributed processing is that the data to be analyzed cannot be held in memory on a single machine. Today, this assumption needs to be re-evaluated. Although petabyte-scale
Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce
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ABSTRACT Support of high performance queries on large volumes of spatial data becomes increasingly important in many application domains, including geospatial problems in numerous fields, location based services, and emerging scientific applications that are
Parallel Programing with Hadoop
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Parallel Programing with Hadoop An Introducoon to Map--Reduce with Examples using Hadoop. Craig E. Ward 14 Running Hadoop • This part is based on the Quick Start document in the Hadoop online documentaoon. • Not required, but useful to create an hadoop user
Performance Evaluation of Stream Log Collection Using HADOOP Distributed File System
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ABSTRACT Recently stream logging has been referred to widely by web based and product based companies. Stream logging is one of the most important topic of agenda in business re-engineering. Business re-engineering is done in order to improve the effectiveness and
Excerption of User Profile from Web Log Data using Hadoop Framework
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ABSTRACT With the high development of Internet, e-commerce websites now routinely have to work with log datasets which are up to a few terabytes in size. How to remove messy data timely with low cost and find out useful information is a problem we have to face. The
IMPLEMENTATION OF PARALLEL APRIORI ALGORITHM ON HADOOP CLUSTER
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ABSTRACT Nowadays due to rapid growth of data in organizations, large scale data processing is a focal point of information technology. To deal with this advancement in data collection and storage technologies, designing and implementing large-scale parallel
NameNode and DataNode Coupling for a Power-proportional Hadoop
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ABSTRACT Current works on power-proportional distributed file systems have not considered the cost of updating data sets that were modified (updated or appended) in a low-power mode, where a subset of nodes were powered off. Effectively reflecting the updated data is
Hadoop Performance Tuning-A PragmaticIterative Approach
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Hadoop represents a Java-based distributed computing framework that is designed to support applications that are implemented via the MapReduce programming model. In general, workload dependent Hadoop performance optimization efforts have to focus on 3
Building Machine Learning Algorithms on Hadoop for Bigdata
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ABSTRACT Machine Learning (ML) is at the core of data analysis. Machine Learning Algorithms (MLA) are sequential and recursive and the accuracy of MLA's rely on size of the data (ie, greater the data more accurate is the result). Absence of a reliable framework for
IMPROVING THE PERFORMANCE OF HADOOP/HIVE BY SHARING SCAN AND COMPUTATION TASKS
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MapReduce is a popular model of executing time-consuming analytical queries as a batch of tasks on large scale data. During simultaneous execution of multiple queries, many opportunities can arise for sharing scan and/or computation tasks. Executing common
HMR LOG ANALYZER: ANALYZE WEB APPLICATION LOGS OVER HADOOP MAPREDUCE
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ABSTRACT In today's Internet world, log file analysis is becoming a necessary task for analyzing the customer's behavior in order to improve advertising and sales as well as for datasets like environment, medical, banking system it is important to analyze the log data
The hadoop distributed file system: Architecture and design
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The Hadoop Distributed File System (HDFS) is a distributed file system designed to run on commodity hardware. It has many similarities with existing distributed file systems. However, the differences from other distributed file systems are significant. HDFS is highly fault-
Hadoop
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This book is dedicated to Joohn Choe. He had the idea, walked me through much of the process, trusted me to write the book, and helped me through the rough spots.
Towards optimizing hadoop provisioning in the cloud
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ABSTRACT Data analytics is becoming increasingly prominent in a variety of application areas ranging from extracting business intelligence to processing data from scientific studies. MapReduce programming paradigm lends itself well to these data-intensive analytics jobs
GreenHDFS: Towards an Energy-Conserving Storage-Efficient, Hybrid Hadoop Compute Cluster
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ABSTRACT Hadoop Distributed File System (HDFS) presents unique challenges to the existing energy-conservation techniques and makes it hard to scale-down servers. We propose an energy-conserving, hybrid, logical multi-zoned variant of HDFS for managing
Mochi: visual log-analysis based tools for debugging hadoop
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ABSTRACT Mochi, a new visual, log-analysis based debugging tool correlates Hadoop's behavior in space, time and volume, and extracts a causal, unified control-and dataflow model of Hadoop across the nodes of a cluster. Mochi's analysis produces visualizations
HADI: Fast diameter estimation and mining in massive graphs with Hadoop
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ABSTRACT How can we quickly find the diameter of a petabyte-sized graph? Large graphs are ubiquitous: social networks (Facebook, LinkedIn, etc.), the World Wide Web, biological networks, computer networks and many more. The size of graphs of interest has been
Grammar based statistical MT on Hadoop: An end-to-end toolkit for large scale PSCFG based MT
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This paper describes the open-source Syntax Augmented Machine Translation (SAMT) 1 on Hadoop toolkit-an end-to-end grammar based machine statistical machine translation framework running on the Hadoop implementation of the MapReduce programming
X-tracing Hadoop
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UC Berkeley X-Tracing Hadoop Andy Konwinski, Matei Zaharia, Randy Katz, Ion Stoica Failing disk, significance = 0.01 No failing disk, significance = 0.01 Observations about Hadoop Unusual run ,very slow small reads at start of job Page 15.
Can High-Performance Interconnects Benefit Hadoop Distributed File System
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ABSTRACT During the past several years, the MapReduce computing model has emerged as a scalable model that is capable of processing petabytes of data. The Hadoop MapReduce framework, has enabled large scale Internet applications and has been adopted by many
Hadoop security design
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2. DataNodes do not enforce any access control on accesses to its data blocks. This makes it possible for an unauthorized client to read a data block as long as she can supply its block ID. It's also possible for anyone to write arbitrary data blocks to DataNodes.
Making Hadoop MapReduce Byzantine Fault-Tolerant
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MapReduce is a programming model and a runtime environment designed by Google for processing large data sets in its warehouse-scale machines (WSM) with hundreds to thousands of servers [2, 4]. MapReduce is becoming increasingly popular with the
The Blind Men and the Elephant: Piecing Together Hadoop for Diagnosis
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ABSTRACT Google's MapReduce framework enables distributed, data-intensive, parallel applications by decomposing a massive job into smaller (Map and Reduce) tasks and a massive data-set into smaller partitions, such that each task processes a different partition
Ceph as a scalable alternative to the Hadoop Distributed File System
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Carlos Maltzahn is an associate adjunct professor at the UC Santa Cruz Computer Science Department and associate director of the UCSC/Los Alamos Institute for Scalable Scientific Data Management. His current research interests include scalable file system data and
Radoop: Analyzing big data with rapidminer and hadoop
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ABSTRACT Working with large data sets is increasingly common in research and industry. There are some distributed data analytics solutions like Hadoop, that offer high scalability and fault-tolerance, but they usually lack a user interface and only developers can exploit
Optimizing Hadoop for the cluster
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ABSTRACT The total number of clusters running Hadoop increases every day. The reason for this is that companies have found a simple model that works well. The model is built to work on thousands of machines and massive data sets. MapReduce is a scalable and
Distributed Lucene: A distributed free text index for Hadoop
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ABSTRACT This technical report described a parallel, distributed free text index written at HP Labs called Distributed Lucene. Distributed Lucene is based on two Apache open source projects, Lucene and Hadoop. It was written to gain a better understanding of the Apache
A comparative analysis of join algorithms using the hadoop map/reduce framework
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ABSTRACT The Map/Reduce framework is a programming model recently introduced by Google Inc. to support distributed computing on very large datasets across a large number of machines. It provides a simple but yet powerful way to implement distributed applications
Hadoop distributed file system
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NameNode : Maps a file to a file-id and list of MapNodes DataNode : Maps a block-id to a physical location on disk SecondaryNameNode: Periodic merge of Transaction log – Maps a file name to a set of blocks – Maps a block to the DataNodes where it resides
Astronomical image processing with hadoop
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Page 1. Astronomical Image Processing with Hadoop Keith Wiley* Survey Science Group Dept. of Astronomy, Univ. of Washington with no modification to the researcher's software. ? Large community of users/support. Advantages of MapReduce (Hadoop) 12 Page 13. Hadoop
myHadoop-Hadoop-on-Demand on Traditional HPC Resources
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ABSTRACT Traditional High Performance Computing (HPC) resources, such as those available on the TeraGrid, support batch job submissions using Distributed Resource Management Systems (DRMS) like TORQUE or the Sun Grid Engine (SGE). For large-
blue eyes technology
Blue Eyes Technology
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A DHAWAN 060905272 SEMINAR ON Blue Eyes Technology Page 2. Introduction ?The BLUE EYES technology aims at creating computational machines that have perceptual and sensory ability like those of human beings. ?It uses non-obtrusive sensing method, employing
Blue Eyes Technology
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Is it possible to create a computer, which can interact with us as we interact each other? For example imagine in a fine morning you walk on to your computer room and switch on your computer, and then it tells you Hey friend, good morning you seem to be a bad mood
Blue Eyes Technology: A Survey
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ABSTRACT Researchers with their great innovations till date has turned the world into a place where presence of high level technologies have made our work easier than before. They left no stone unturned to make their dreams come true. Fields like artificial intelligence have
Circular Reranking for Visual Search
Circular reranking for visual search
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ABSTRACT Search reranking is regarded as a common way for boosting retrieval precision. The problem nevertheless is not trivial especially when there are multiple features or modalities to be considered for search, which often happens in image and video retrieval.
evaporative condenser research papers
Evaporative Condenser Lab and Field Test Results
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C Backman, A German, B Dakin, E Weitzel ,aceee.org ABSTRACT The use of evaporative processes to improve vapor compression system cooling efficiency is an important vehicle for reducing energy use and peak demand in hot- dry climates. Evaporative condensers demonstrate efficiency advantages by reducing the
THEORETICAL MODEL FOR A ROTATING DISK EVAPORATIVE CONDENSER USED IN A SPLIT AIR CONDITIONER
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MS Hassan, MAM Youssef ,minia.edu.eg ABSTRACT In the present paper, a theoretical model for a rotating disk evaporative condenser was developed to predict the performance characteristics in a refrigeration system over a wide range of investigated parameters. These parameters include inlet air velocity (2-5 m/
Evaluation of Evaporative Cooling for Heat Transfer in the Condenser of Window-Air Conditioners
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ABSTRACT There is a demand for reduced power consumption in the vapor compression refrigeration cycle. Coefficient of performance of window-air conditioners considerably decreases and power consumption increases under very hot conditions. These problems
A turnout without movable parts for magnetically levitated vehicles with hybrid magnets
A turnout without movable parts for magnetically levitated vehicles with hybrid magnets
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ABSTRACT This paper describes a turnout without movable parts for magnetically levitated vehicles with hybrid magnets, which have been studied by the authors in place of street cars. Their low construction cost and low maintenance are key to their practical use. Magnetic
power management android
Advanced Android power management and implementation of wakelocks
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ABSTRACT This paper looks to investigate how Android operating system manages power on a relatively small platform such as a mobile phone or a tablet. The aim of this document is to further find the differences that exist in the design of Android power management
Power Guru: Implementing Smart Power Management on the Android Platform
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ABSTRACT Improving battery life in mobile devices has become a very important area of research. Hardware components like the CPU, screens and radios has evolved quickly while battery technology has lacked the same progression. Our goal is to implement a
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