A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures [PDF]
, 2014 Scientific problems that depend on processing large amounts of data require overcoming challenges in multiple areas: managing large-scale data distribution, co-placement and scheduling of data with compute resources, and storing and transferring large ...
Fox, Geoffrey C. +4 more
core +1 more source
Analysis of hadoop MapReduce scheduling in heterogeneous environment
, 2020 Over the last decade, several advancements have happened in distributed and parallel computing. A lot of data is generated daily from various sources, and this speedy data proliferation led to the development of many more frameworks that are efficient to
Khushboo Kalia, Neeraj Gupta
semanticscholar +1 more source
A Blockchain-Enabled Framework for Controlled Access to Cluster Resources [PDF]
Journal of Universal Computer SciencePurpose: Big data applications enable organizations to derive actionable insights that inform strategic decision making and enhance operational efficiency in real time.
Kausthav Pratim Kalita +2 more
doaj +3 more sources
Integrating Distributed Hadoop System into the Existing Infrastructure [PDF]
Икономика и компютърни науки, 2021 A distributed Hadoop system can integrate clusters of different organizations. The purpose of this article is to consider the options for building an architecture of a distributed Hadoop system, so that it is, on the one hand, to integrate a logically ...
Stefka Petrova +4 more
doaj
Safety Reinforcement Scheme for Hadoop Platform [PDF]
Jisuanji gongcheng, 2018 Aiming at the security vulnerability problem of Hadoop platform,this paper analyzes the present security situation of Hadoop platform,puts forward the remaining security hidden trouble,and designs and implements the relevant reinforcement scheme.By ...
DING Xiangwu,ZHANG Donghui
doaj +1 more source
Controlling Network Latency in Mixed Hadoop Clusters: Do We Need Active Queue Management? [PDF]
, 2016 With the advent of big data, data center applications are processing vast amounts of unstructured and semi-structured data, in parallel on large clusters, across hundreds to thousands of nodes.
Carpenter, Paul M. +1 more
core +1 more source
Analisis Data Sosial Media Twitter Menggunakan Hadoop dan Spark
IT Journal Research and Development, 2020 Big data merupakan sumber data yang memiliki volume yang besar, variasi yang banyak, dan aliran data yang sangat cepat. Contoh big data antara lain data dari media sosial dan query pencarian Google. Data tersebut mampu melacak aktivitas penyakit dan data
Irfan Rizqi Prabaswara, Ragil Saputra
doaj +1 more source
ENHANCING APPROACH USING HYBRID PAILLER AND RSA FOR INFORMATION SECURITY IN BIGDATA [PDF]
Applied Computer Science, 2019 The amount of data processed and stored in the cloud is growing dramatically. The traditional storage devices at both hardware and software levels cannot meet the requirement of the cloud.
Shadan Mohammed Jihad ABDALWAHID +2 more
doaj +1 more source
Adaptive Dynamic Data Placement Algorithm for Hadoop in Heterogeneous Environments [PDF]
Journal of Advances in Computer Engineering and Technology, 2016 Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous ...
Avishan Sharafi, Ali Rezaee
doaj
Large-Scale Encryption in the Hadoop Environment: Challenges and Solutions
IEEE Access, 2017 Data is growing at an enormous rate in the present world. One of the finest and most popular technologies available for handling and processing that enormous amount of data is the Hadoop ecosystem.
Raj R. Parmar +4 more
doaj +1 more source