ICALEPCS2017 - List of Authors (Khaleghi, A.)

Paper	Title	Page
TUMPL06	Conceptual Design of Developing a Mobile App for Distributed Information Services for Control Systems (DISCS)	315
	A. Khaleghi, Mhosseinzadeh. Hossein zadeh sahafi, K. Mahmoudi, M. Oghbaie IKIU, Qazvin, Iran M. Akbari, A. Khaleghi, J. Rahighi ILSF, Tehran, Iran
	In physical systems for having best performance in processes like maintenance, troubleshooting, design, construction, update and etc., we need to store data that describe systems state and its components characteristics. Thus we need a framework for developing an application which can store, integrate and manage data and also execute permitted operations. DISCS (Distributed Information Services for Control Systems) as a framework with mentioned capabilities can help us achieve our goals. In this paper, we first assessed DISCS and its basic architecture and then we implement this framework for maintenance domain of a system. With implementation of maintenance module, we'll be able to store preventive maintenance data and information which help us to trace the problems and analyze situation caused failure and destruction.
	Slides TUMPL06 [2.386 MB]
	Poster TUMPL06 [2.184 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUMPL06
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPHA034	The Study of Big Data Tools Usages in Synchrotrons	1428
	S. Alizada, A. Khaleghi ILSF, Tehran, Iran A. Khaleghi IKIU, Qazvin, Iran
	In today's world, there is plenty of data being generated from various sources in different areas across economics, engineering and science. For instance, accelerators are able to generate 3 PB data just in one experiment. Synchrotrons industry is an example of the volume and velocity of data which data is too big to be analyzed at once. While some light sources can deal with 11 PB, they confront with data problems. The explosion of data become an important and serious issue in today's synchrotrons world. Totally, these data problems pose in different fields like storage, analytics, visualisation, monitoring and controlling. To override these problems, they prefer HDF5, grid computing, cloud computing and Hadoop/Hbase and NoSQL. Recently, big data takes a lot of attention from academic and industry places. We are looking for an appropriate and feasible solution for data issues in ILSF basically. Contemplating on Hadoop and other up-to-date tools and components is not out of mind as a stable solution. In this paper, we are evaluating big data tools and tested techniques in various light source around the world for data in beamlines studying the storage and analytics aspects.
	Poster THPHA034 [1.345 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA034
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Conceptual Design of Developing a Mobile App for Distributed Information Services for Control Systems (DISCS)

315

A. Khaleghi, Mhosseinzadeh. Hossein zadeh sahafi, K. Mahmoudi, M. Oghbaie
IKIU, Qazvin, Iran
M. Akbari, A. Khaleghi, J. Rahighi
ILSF, Tehran, Iran

In physical systems for having best performance in processes like maintenance, troubleshooting, design, construction, update and etc., we need to store data that describe systems state and its components characteristics. Thus we need a framework for developing an application which can store, integrate and manage data and also execute permitted operations. DISCS (Distributed Information Services for Control Systems) as a framework with mentioned capabilities can help us achieve our goals. In this paper, we first assessed DISCS and its basic architecture and then we implement this framework for maintenance domain of a system. With implementation of maintenance module, we'll be able to store preventive maintenance data and information which help us to trace the problems and analyze situation caused failure and destruction.

Slides TUMPL06 [2.386 MB]

Poster TUMPL06 [2.184 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUMPL06

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPHA034

The Study of Big Data Tools Usages in Synchrotrons

1428

S. Alizada, A. Khaleghi
ILSF, Tehran, Iran
A. Khaleghi
IKIU, Qazvin, Iran

In today's world, there is plenty of data being generated from various sources in different areas across economics, engineering and science. For instance, accelerators are able to generate 3 PB data just in one experiment. Synchrotrons industry is an example of the volume and velocity of data which data is too big to be analyzed at once. While some light sources can deal with 11 PB, they confront with data problems. The explosion of data become an important and serious issue in today's synchrotrons world. Totally, these data problems pose in different fields like storage, analytics, visualisation, monitoring and controlling. To override these problems, they prefer HDF5, grid computing, cloud computing and Hadoop/Hbase and NoSQL. Recently, big data takes a lot of attention from academic and industry places. We are looking for an appropriate and feasible solution for data issues in ILSF basically. Contemplating on Hadoop and other up-to-date tools and components is not out of mind as a stable solution. In this paper, we are evaluating big data tools and tested techniques in various light source around the world for data in beamlines studying the storage and analytics aspects.

Poster THPHA034 [1.345 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA034

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)