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Towards Solving the Social Science Challenges with Computing Methods

Edited By Biljana Mileva Boshkoska

Computational Social Science is an interdisciplinary field where social science questions are investigated with modern computational tools. The book provides insight into different social problems and calls for new practices offered by computational social science, discussing methods for efficient management of complex engineering design, cybersecurity and the prediction of malicious threads of information systems. It is also a study of awareness of privacy in social networks, prosodic modelling for speech synthesis, the structure of co-occurrence networks and cloud applications. The authors propose an extension of synergy models in IMC environment to n-communication channels, and identification and evaluation of knowledge management through information system analysis.
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Path to cloud-native applications, opportunities and challenges


Abstract: As an exciting new-shared platform, cloud computing represents the future of information technology. Success of the cloud computing is dependent on the availability of the adequate applications. Benefits of using computing cloud lies in specialised applications, developed with cloud in mind from the start. We devote this paper to analysing the state-of-the-art in the development of “cloud-native” applications. We present the benefits and challenges of cloud for novel approaches to application development. With the proper use of the proven software design patterns, new breed of loosely coupled cloud applications with accessible user interfaces and enormous back-end processing power can be enabled. From this can benefit even existing powerful software tools like GraphCrunch2, whose case of “cloudification” we study in more detail.

Keywords: cloud computing, software application, patterns, network analysis

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