A Green AI Platform to Analyze Open Source Information!
GAZi.Ai
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Elements

Three main elements of the project.

Microservice Architecture

Microservices are derived from SOA, but they are small-scale applications that are designed for a single purpose. Basic principles of a microservice that make it different from other software architecture are independent working and focusing on doing just one thing (job) well! To deploy a microservice-based application, the best option is using a virtualization technology like containerization. While the terms “microservice” and “container” are not the same thing, in reality, a microservice-based application mostly runs in a container. A container is a typical software unit that packages up both code and all its dependencies so the application can run quickly and reliably from one computing infrastructure to another. Containerization and microservice architecture have different advantages, but using both of these technologies together gives new abilities to software developers, such as stability, platform independence, and flexibility

Docker Containerization

Docker, is designed to host application containers. To host many microservice-based applications in public and private cloud environments, technologies, such as lightweight OS virtualization and Docker, have emerged in recent years. Docker Engine is the open-source containerization technology of the Docker ecosystem and acts as a client-server application. Docker Engine is available on a variety of Linux platforms, macOS, and Windows 10 through Docker Desktop, and as a static binary installation.50 Docker Desktop with Docker Engine makes it possible to containerize different kinds of microservice-based applications on end-user computers.

Distributed Infrastructure

Cloud, grid, parallel, volunteer, and opportunistic computing are different forms of distributed computing and each of these concepts addresses different problems in data analysis. A distributed microservice-based data analysis model with the technology of Docker containerization on the end-user computers is developed in this research as a green AI platform to analyze open source information.

Publications

Several publications about our research.

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Doctoral Thesis (TR)
A Platform Development for Analyzing Open-Source Information In Distributed Microservice Architecture On End User Computers
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Book Chapter (TR)
Open Source Intelligence (OSINT)
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Journal Article
A Model Proposal for Analyzing Open Source Information in End User Computers
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Patent (TR)
Open source information analysis system and method.
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Journal Article
Developing a Green AI Platform for SMEs to Analyze Open-source Information with the Approach of Society 5.0
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Manuscript
A Practical Example of Using Open-source Intelligence (OSINT) techniques in Management Information Systems (MIS)

About

Main components of the project.

Research Team

We are looking for new researchers for our team!

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Prof. Dr. Şeref SAĞIROĞLU

Research Leader

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Hüseyin AKARSLAN

Main Researcher

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Volunteers

Researcher

Please do not hesitate to contact us through the contact form below if you are interested in our research.

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