Modern software cybernetics: new trends

Software cybernetics research is to apply a variety of techniques from cybernetics research to software engineering research. For more than fifteen years since 2001, there has been a dramatic increase in work relating to software cybernetics. From cybernetics viewpoint, the work is mainly on the first-order level, namely, the software under observation and control. Beyond the first-order cybernetics, the software, developers/users, and running environments influence each other and thus create feedback to form more complicated systems. We classify software cybernetics as Software Cybernetics I based on the first-order cybernetics, and as Software Cybernetics II based on the higher order cybernetics. This paper provides a review of the literature on software cybernetics, particularly focusing on the transition from Software Cybernetics I to Software Cybernetics II. The results of the survey indicate that some new research areas such as Internet of Things, big data, cloud computing, cyber-physical systems, and even creative computing are related to Software Cybernetics II. The paper identifies the relationships between the techniques of Software Cybernetics II applied and the new research areas to which they have been applied, formulates research problems and challenges of software cybernetics with the application of principles of Phase II of software cybernetics; identifies and highlights new research trends of software cybernetic for further research

Modern software cybernetics: New trends

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Software cybernetics research is to apply a variety of techniques from cybernetics research to software engineering research. For more than fifteen years since 2001, there has been a dramatic increase in work relating to software cybernetics. From cybernetics viewpoint, the work is mainly on the first-order level, namely, the software under observation and control. Beyond the first-order cybernetics, the software, developers/users, and running environments influence each other and thus create feedback to form more complicated systems. We classify software cybernetics as Software Cybernetics I based on the first-order cybernetics, and as Software Cybernetics II based on the higher order cybernetics. This paper provides a review of the literature on software cybernetics, particularly focusing on the transition from Software Cybernetics I to Software Cybernetics II. The results of the survey indicate that some new research areas such as Internet of Things, big data, cloud computing, cyber-physical systems, and even creative computing are related to Software Cybernetics II. The paper identifies the relationships between the techniques of Software Cybernetics II applied and the new research areas to which they have been applied, formulates research problems and challenges of software cybernetics with the application of principles of Phase II of software cybernetics; identifies and highlights new research trends of software cybernetic for further research

Towards research on software cybernetics

Software cybernetics is a newly proposed area in software engineering. It makes better use of the interplay between control theory/engineering and software engineering. In this paper, we look into the research potentials of this emerging area.published_or_final_versio

University 4.4 – A Development Strategy for Education and Research Centers

Due to increased demand for qualified human resources, for 'new & rare skills', for software solutions, reliable products and services in the field of applied informatics, there are large available financial funds that can be accessed by Informatics and Cybernetics schools. Edu-cational and research departments must capitalize funds provided by the Europe-an/international institutions and private companies, by supporting the creation of spin-off en-tities that will conduct technology transfer projects. These funds must be used to increase the quality of teaching and to improve research results by assuring the financial needs and tech-nical resources of teachers (project based payments), students (scholarships projects) and the community (public available projects). The presented strategy, University 4.4 describes four development directions for a four years period. It has been developed by Catalin Boja, Razvan Bologa, Marius Popa and Cristian Toma and since November 2011 it represents the assumed development strategy of The Department of Economic Informatics and Cybernetics (DICE) from The Bucharest University of Economic Studies.University, Research, Strategy, Education, Informatics, Cybernetics, Department, DICE

A cybernetics Social Cloud

© 2015 Elsevier Inc. This paper proposes a Social Cloud, which presents the system design, development and analysis. The technology is based on the BOINC open source software, our hybrid Cloud, Facebook Graph API and our development in a new Facebook API, SocialMedia. The creation of SocialMedia API with its four functions can ensure a smooth delivery of Big Data processing in the Social Cloud, with four selected examples provided. The proposed solution is focused on processing the contacts who click like or comment on the author's posts. Outputs result in visualization with their core syntax being demonstrated. Four functions in the SocialMedia API have evaluation test and each client-server API processing can be completed efficiently and effectively within 1.36 s. We demonstrate large scale simulations involved with 50,000 simulations and all the execution time can be completed within 70,000 s. Cybernetics functions are created to ensure that 100% job completion rate for Big Data processing. Results support our case for Big Data processing on Social Cloud with no costs involved. All the steps involved have closely followed system design, implementation, experiments and validation for Cybernetics to ensure a high quality of outputs and services at all times. This offers a unique contribution for Cybernetics to meet Big Data research challenges

Cluster Management Processes Organization and Handling

The paper describes cluster management software and hardware of SCIT supercomputer clusters built in Glushkov Institute of Cybernetics NAS of Ukraine. The paper shows the performance results received on systems that were built and the specific means used to fulfil the goal of performance increase. It should be useful for those scientists and engineers that are practically engaged in a cluster supercomputer systems design, integration and services