A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis

In the existing scenario, a patient has to go to the hospital to take necessary tests, consult a doctor and buy prescribed medicines or use specified healthcare applications. Hence time is wasted at hospitals and in medical shops. In the case of healthcare applications, face to face interaction with the doctor is not available. The downside of the existing scenario can be improved by the Medimate: Ailment diffusion control system with real time large scale data processing. The purpose of medimate is to establish a Tele Conference Medical System that can be used in remote areas. The medimate is configured for better diagnosis and medical treatment for the rural people. The system is installed with Heart Beat Sensor, Temperature Sensor, Ultrasonic Sensor and Load Cell to monitor the patient’s health parameters. The voice instructions are updated for easier access. The application for enabling video and voice communication with the doctor through Camera and Headphone is installed at both the ends. The doctor examines the patient and prescribes themedicines. The medical dispenser delivers medicine to the patient as per the prescription. The QR code will be generated for each prescription by medimate and that QR code can be used forthe repeated medical conditions in the future. Medical details are updated in the server periodically.

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A Real-Time Log Analyzer Based on MongoDB

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.571-572.497 ◽

2014 ◽

Vol 571-572 ◽

pp. 497-501 ◽

Cited By ~ 3

Author(s):

Qi Lv ◽

Wei Xie

Keyword(s):

Real Time ◽

Large Scale ◽

Performance Comparison ◽

Log Analysis ◽

Data Sets ◽

Time Data ◽

Real Time Analysis ◽

Large Scale Data ◽

Implementation Approach ◽

And Performance

Real-time log analysis on large scale data is important for applications. Specifically, real-time refers to UI latency within 100ms. Therefore, techniques which efficiently support real-time analysis over large log data sets are desired. MongoDB provides well query performance, aggregation frameworks, and distributed architecture which is suitable for real-time data query and massive log analysis. In this paper, a novel implementation approach for an event driven file log analyzer is presented, and performance comparison of query, scan and aggregation operations over MongoDB, HBase and MySQL is analyzed. Our experimental results show that HBase performs best balanced in all operations, while MongoDB provides less than 10ms query speed in some operations which is most suitable for real-time applications.

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Let the Data Do the Talking: Hypothesis Discovery from Large-Scale Data Sets in Real Time

Data-Intensive Computing ◽

10.1017/cbo9780511844409.009 ◽

2012 ◽

pp. 235-257

Author(s):

Christopher Oehmen ◽

Scott Dowson ◽

Wes Hatley ◽

Justin Almquist ◽

Bobbie-Jo Webb-Robertson ◽

...

Keyword(s):

Real Time ◽

Large Scale ◽

Data Sets ◽

Large Scale Data ◽

Scale Data ◽

Large Scale Data Sets

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Breaking Computational Barriers: Real-time Analysis and Optimization with Large-scale Nonlinear Models via Model Reduction

10.2172/1323654 ◽

2014 ◽

Author(s):

Kevin Thomas Carlberg ◽

Martin Drohmann ◽

Raymond S. Tuminaro ◽

Paul T. Boggs ◽

Jaideep Ray ◽

...

Keyword(s):

Model Reduction ◽

Real Time ◽

Large Scale ◽

Nonlinear Models ◽

Time Analysis ◽

Real Time Analysis

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Architecting a distributed bioinformatics platform with iRODS and iPlant Agave API

10.1101/034488 ◽

2015 ◽

Author(s):

Liya Wang ◽

Peter Van Buren ◽

Doreen Ware

Keyword(s):

Large Scale ◽

Genome Wide Association Study ◽

Data Transfer ◽

Genomic Analysis ◽

The Past ◽

Large Scale Data ◽

Genome Wide ◽

A Genome ◽

Bioinformatics Workflow ◽

Scale Data

Over the past few years, cloud-based platforms have been proposed to address storage, management, and computation of large-scale data, especially in the field of genomics. However, for collaboration efforts involving multiple institutes, data transfer and management, interoperability and standardization among different platforms have imposed new challenges. This paper proposes a distributed bioinformatics platform that can leverage local clusters with remote computational clusters for genomic analysis using the unified bioinformatics workflow. The platform is built with a data server configured with iRODS, a computation cluster authenticated with iPlant Agave system, and web server to interact with the platform. A Genome-Wide Association Study workflow is integrated to validate the feasibility of the proposed approach.

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Research and Implementation of the Secure Database-Update Mechanism

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.513-517.1752 ◽

2014 ◽

Vol 513-517 ◽

pp. 1752-1755 ◽

Cited By ~ 1

Author(s):

Chun Liu ◽

Kun Tan

Keyword(s):

Real Time ◽

Large Scale ◽

Data Transfer ◽

Time Data ◽

Safety Critical ◽

Large Scale Data ◽

Data Transfer Protocol ◽

Safety And Reliability ◽

Computer Based ◽

Short Time

For a safety critical computer, large-scale data like database which has to be transferred in an instant time cannot be voted directly. This paper proposes a database update algorithm for safety critical computer based on status vote,which is to vote the database status instead of database itself. This algorithm can solve the problem of voting too much data in a short time, and compare versions of database of different modules in real time. A Markov model is built to calculate the safety and reliability of this algorithm. The results show that this algorithm meets the update requirement of safety critical computer. 1. Communication protocol for database update 1.1 TFTP protocol TFTP is a simple protocol for transporting document. It usually uses the UDP protocol to realize but the TFTP does not require the specific agreement of implementation and can implement with TCP in special occasions. [This agreement is designed for small file transferring, so it doesn't have function many FTP usually does; it can only acquire or write the file from the server and not able tot list directory, not authenticate. It transfers 8 bits of data with three models: netascii, the eight-bit ASCII form; octet, the eight-bit source data type; mail, no longer supported, it returns the data back directly to the user rather than saved as a file. 1.2 SRTP Ethernet security real-time data transfer protocol

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