Informatica Economica Vol. 21 No. 1/2017

Issue Topic: Open Data


On the Performance of Three In-Memory Data Systems for On Line Analytical Processing
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

Book Review: Computer-Supported Collaborative Decision-Making

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