Grigore Albeanu

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This paper considers current paradigms in computing and outlines the most important aspects concerning their reliability. The Fog computing paradigm as a non-trivial extension of the Cloud is considered and the reliability of the networks of smart devices are discussed. Combining the reliability requirements of grid and cloud paradigms with the reliability(More)
Software reliability deals with behaviour of a software system in operation and it is defined as the probability of working without failure for a specified interval of time. In a number of recent disasters the computer has been wholly or partially to blame. In Ref. [1] an alarm signal is given by the following message: "Sometime soon, software reliability(More)
Component-based software development is the current methodology facilitating agility in project management, software reuse in design and implementation, promoting quality and productivity, and increasing the reliability and performability. This paper illustrates the usage of intuitionistic fuzzy degree approach in modelling the quality of entities in(More)
It is well known that a distributed e-learning environment can only be an effective tool if both the trainers' and the students' requirements are fulfilled. This paper presents various aspects concerning the design of graphical user interface, the most suited interaction techniques, the e-content structuring and the effective learning assessment in the(More)
Fog computing is a new paradigm using both Cloud computing developments and Internet of Things devices. This paper reviews the existing models, architectures and practices in Fog computing targeting the fog systems reliability and dependability. An integratory approach of three components of the system reliability is considered: the nodes reliability, the(More)
Virtual learning has opened new vistas in meta-information handling. Large collections of portfolios and e-books, large communities of e-people and processes over widespread virtual campuses impose a new management strategy. The most appropriate solution for a global university is to use a grid architecture based on distributed warehouses in order to use(More)
Traditional optimization methods applied to solve real life problems can experience local or unstable behaviour. Researchers have proposed recently non-traditional search and optimization methods based on natural phenomena like natural evolution, social behaviour, and annealing. This paper describes a meta-algorithm for multiobjective optimization. Finally,(More)