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Open Systems. DBMS. 2015, Volume 23, Number 2 COVER FEATURES
INTERNET OF THINGS

Analytics, Machine Learning, and the Internet of Things
Our increasingly connected world, combined with low-cost sensors and distributed — intelligence, will have a transformative impact on industry, producing more data than humans will be able to process. Will businesses be able to adapt and evolve quickly enough to maintain their place in the competitive landscape? How will humans make sense of and benefit from these new sources of information and intelligence embedded in our environment?
Seth Earley (seth@earley.com), CEO, Earley & Associates.
 

From the Internet of Things to the Internet of People
The main objective in developing applications for the Internet of Things is to integrate technology into everyday lives. How this integration is implemented, however, leaves much room for improvement. Often the user must set parameters within the application, and when the person’s context changes, they must manually reconfigure. The authors describe a reference architecture that uses smartphones to improve integration with the IoT, thereby opening the way to new IoT scenarios that support evolution towards the Internet of People.
Javier Miranda, Javier Berrocal ({jmiranda, jberolm}@gloin.es), staff specialists, Gloin; Juan M. Murillo (juanmamu@unex.es), professor, University of Extremadura; Niko Makitalo, Tommi Mikkonen ({niko.makitalo, tommi.mikkonen}@tut.fi), fellows, Tampere University of Technology; Carlos Canal (canal@lcc.uma.es), assistant professor, University of Malaga.

Internet of Things Standards: To Be or Not to Be?
Internet of Things is at the height of expectations today, but there is a clear lack of understanding as to how to implement the actual mechanisms that would make it work. Standards are supposed to help with addressing the issue, but right now their development goes at a lower pace than that of the technology itself.
Pavel Khramtsov (paulkh@yandex.ru), assistant professor, National Research Nuclear University MEPhI.

СAD for Internet of Things
Digital technologies have become an integral part of people’s life leaving virtually no areas without computerization — the term Internet of Things is now familiar to many, but CAD professionals are yet to provide either solutions for IoT or even their assessments of the phenomenon.
Dmitry Kiryanov, Vladimir Krayushkin ({dkirianov,vkray}@pts-russia.com), staff specialists, Productive Technology Systems; Marina Pirogova (PirogovaMA@mpei.ru), assistant professor, Moscow Power Engineering Institute.

Cloud for Internet of Things
The Internet of Things vision compels with an opportunity to integrate a virtually unlimited pool of devices and manage it. Yet, as far as this approach is concerned, there is still too few means of integrating tools for development, visualization and analytics with industrial applications. One of the solutions aiming to close the gap is IBM IoT Foundation.
Igor Kulinichev (Igor.Koulinitchev@ru.ibm.com), enterprise solutions architect, IBM.

How to Start an Internet of Things Project?
Today, organizations increasingly show interest in Internet of Things planning to implement solutions in the area, but many are deterred by the requirement of making significant infrastructure investments. Microsoft offers a platform for building cloud services that allow universal apps to run in the Internet of Things on a wide range of devices.
Dmitry Soshnikov (dmitryso@microsoft.com), technology evangelist, Microsoft.

PLATFORMS
Platform for Business Critical Applications
Until recently, enterprises used either RISC platforms with UNIX or mainframes for running business critical applications. With the advent of HP Superdome X servers a new development direction has opened for x86-based systems - as platforms characterized by high performance, scalability and availability.
Valery Soloyed (valery.soloed@hp.com), department manager, Business Critical Server Systems, HP.

OpenStack Success Secrets
Many breakthroughs in the history of IT would not be possible without free open source operating systems like BSD, Linux, and Android. Today, such a driving force is OpenStack, an analogue of Linux for cloud computing.
Dmitry Volkov (vlk@keldysh.ru), fellow, Keldysh Institute of Applied Mathematics, editor-in-chief, Open Systems Journal.DBMS; Lev Levin (osmag@osp.ru), freelance writer.

CLOUD COMPUTING
Infrastructure as a Service and Cloud Technologies
Software and infrastructure are increasingly consumed from the cloud. This is more flexible and much cheaper than deploying your own infrastructure, especially for smaller organizations. But the cloud obviously bears a lot of risk. The authors examine current enterprise cloud market and technologies.
Nicolas Serrano, Gorka Gallardo, Josune Hernantes ({nserrano,jhernantes,ggallardo}@tecnun.es), professors, University of Navarra.

SOFTWARE ENGINEERING
Union of Agile and ITSM
Agile software development methodologies are driving traditional project implementation ways out. Having grown tired of stakeholder failures to state goals clearly and identify their requirements, developers opt for a workflow that had proved itself repeatedly to drive results even when the goal was not visible from the beginning. Yet the propagation of those methodologies inevitably raises questions related to the ways of organizing the maintenance of agile-developed software.
Aleksander Ognivtsev (shura@alfastrah.ru), Head of Services and Support, AlfaStrakhovanie Group
 

OPINION
The Glass House of Internet of Things
Is technological advancement a blessing or a curse? We are hardly ready to pay for convenience and comfort by opening up our personal lives to the outside world, but that is just the price Internet of Things requires to pay.
Sergey Kolesnikov (serge.math@gmail.com), independent expert.

OS ACADEMY. Workshop
Time Series Subsequence Matching
The problem of time series subsequence matching occurs in a wide spectrum of subject areas: medicine, weather forecasting, motion analysis, finance, etc. Currently, Dynamic Time Warping — DTW) is the most popular subsequence similarity measure, but despite the existence of various accelerating techniques, it is still computationally expensive. Due to this reason, science community tries to accelerate DTW calculation by means of using parallel hardware. There are implementations of DTW-based subsequence matching on GPU and FPGA, but there are no those for coprocessors based on Intel Many Integrated Core architecture. This paper presents a parallel algorithm for time series subsequence matching based on DTW distance adapted for use on the Intel Xeon Phi coprocessor.
Mikhail Tsymbler (mzym@susu.ru), subfaculty chair, Alexander Movchan (movchanav@susu.ru), graduate student, South Ural State University.

Using Predictive Modeling to Conquer Insider Threats
Timely uncovering of insider cyberfraud threats becomes increasingly important. Meanwhile, statistical prediction models  allow the eliminating of such threats.
Maksim Kalyakin (justmalevi4@gmail.com), student, Anton Zaytsev (anthony.zaytsev@gmail.com), postgraduate, National Research Nuclear University MEPhI; Tatyana Orlova (tatiana_orlova@yahoo.com), expert, itSMF Russia.

OS ACADEMY. Library
New IT Trends: Advantages and Threats
January, February, and March issues of IEEE Computer magazine (IEEE Computer Society, Vol. 48, No. 1–3, 2015) cover the prospects and downsides of latest IT trends, technology advancement in healthcare, and practical use of new Big Data technologies.
Alexander Tyrenko (shoorah@osp.ru), reviewer, Computerworld Russia.

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