Informatica Economica Vol. 21 No. 1/2017
Issue Topic: Open Data
CONTENTS
On the
Performance of Three In-Memory Data Systems for On Line Analytical Processing
Ionuț HRUBARU, Marin FOTACHE 5
In-memory database systems are among the most recent and most promising Big
Data technologies, being developed and released either as brand new distributed
systems or as extensions of old monolith (centralized) database systems. As
name suggests, in-memory systems cache all the data into special memory
structures. Many are part of the NewSQL strand and target to bridge the gap
between OLTP and OLAP into so-called Hybrid Transactional Analytical Systems
(HTAP). This paper aims to test the performance of using such type of systems
for TPCH analytical workloads. Performance is analyzed in terms of data
loading, memory footprint and execution time of the TPCH query set for three
in-memory data systems: Oracle, SQL Server and MemSQL. Tests are subsequently
deployed on classical on-disk architectures and results compared to in-memory
solutions. As in-memory is an enterprise edition feature, associated costs are
also considered.
Keywords: In Memory Databases, OLAP, Analytical Workload, TPCH
Considerations for the Mobile Web. Paradigm Shift
Romeo MARGEA, Camelia MARGEA 16
Google’s response to that trend and the what such changes entail further for
website developers are issues around which this paper is built. In the first
part of this paper we made an analysis of the literature in order to clarify
certain terminology and trends of Mobile Web. Further we illus-trate the
practical aspects of implementing these technological issues for a faculty
institutional website (Faculty of Economics and Business Administration within
the West University of Timisoara). In the last part, we analyzed statistical
data collected during last five years of oper-ation of that website,
emphasizing compliance with the trends in the field worldwide.
Keywords: Mobile-Friendly, Mobile-First, Mobile Websites, Google Analytics.
REST SOA Orchestration and BPM Platforms
Octavian DOSPINESCU, Cătălin STRÎMBEI, Roxana-Marina STRAINU, Alexandra NISTOR
30
BPM initiatives and SOA approaches emerged and developed as distinct efforts
although they could be perceived as the two sides of the same coin in the
context of online business and information systems. Thus, inherently, their
modeling perspectives met (or collided) and generated some frameworks and
languages like SOAML or SOAMF. Starting from these standards and initiatives we
will propose a methodological approach that could lead to a feasible
implementation of web service integration in a formal Business Process context.
Keywords: BPM, SOA, SoaML, Service Oriented Architecture, RESTful Web Services
Modelling
the Replication Management in Information Systems
Cezar TOADER, Rita TOADER 43
In the modern economy, the benefits of Web services are significant because
they facilitates the activities automation in the framework of Internet
distributed businesses as well as the cooperation between organizations through
interconnection process running in the computer systems. This paper presents
the development stages of a model for a reliable information system. This paper
describes the communication between the processes within the distributed
system, based on the message exchange, and also presents the problem of
distributed agreement among processes. A list of objectives for the
fault-tolerant systems is defined and a framework model for distributed systems
is proposed. This framework makes distinction between management operations and
execution operations. The proposed model promotes the use of a central process
especially designed for the coordination and control of other application
processes. The execution phases and the protocols for the management and the
execution components are presented. This model of a reliable system could be a
foundation for an entire class of distributed systems models based on the
management of replication process.
Keywords: Information Systems, Services, Reliability, Fault-Tolerance,
Replication Management
A Maturity Analysis of Big Data Technologies
Radu BONCEA, Ionut PETRE, Dragos-Marian SMADA, Alin ZAMFIROIU 60
In recent years Big Data technologies have been developed at faster pace
due to increase in demand from applications that generate and process
vast amount of data. The Cloud Computing and the Internet of Things are
the main drivers for developing enterprise solutions that support
Business Intelligence which in turn, creates new opportunities and new
business models. An enterprise can now collect data about its internal
processes, process this data to gain new insights and business value and
make better decisions. And this is the reason why Big Data is now seen
as a vital component in any enterprise architecture. In this article the
maturity of several Big Data technologies is put under analysis. For
each technology there are several aspects considered, such as
development status, market usage, licensing policies, availability for
certifications, adoption, support for cloud computing and enterprise.
Keywords: Big Data Technologies, Big Data maturity, Big Data comparative
analysis
Book Review: Developing, writing and publishing scientific papers. An
approach in the context of economic research
Constanta NICOLETA BODEA 72
Book Review: Computer-Supported Collaborative Decision-Making
Ion SMEUREANU 74
The 16th International Conference on Informatics in Economy, IE 2017 76
The 10th International Conference on Information Technology and
Communications Security, SECITC 2017 77
Publishing Guide for Authors 78
INFOREC Association 80
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