What is he best known for?
The fields of study he is best known for:
- Operating system
- Software
- Software engineering
His primary scientific interests are in Software system, Distributed computing, Software engineering, Cloud computing and Software.
His Software system research is multidisciplinary, incorporating perspectives in Kalman filter, Simulation and Autonomic computing.
His Distributed computing study incorporates themes from Quality of service, Web service, Provisioning and Control reconfiguration.
In his study, Computer programming, Software Engineering Process Group and Systems development life cycle is inextricably linked to Social software engineering, which falls within the broad field of Software engineering.
His Cloud computing research is multidisciplinary, relying on both Application server, Real-time computing, Software deployment and Server.
His studies in Software integrate themes in fields like Systems engineering and Adaptation.
His most cited work include:
- Software Engineering for Self-Adaptive Systems: A Research Roadmap (864 citations)
- Software Engineering for Self-Adaptive Systems : A Second Research Roadmap (523 citations)
- Engineering Self-Adaptive Systems through Feedback Loops (424 citations)
What are the main themes of his work throughout his whole career to date?
Marin Litoiu focuses on Cloud computing, Distributed computing, Software engineering, Software system and Software.
Marin Litoiu has researched Cloud computing in several fields, including Scalability, Service, Database and Software deployment.
As part of the same scientific family, Marin Litoiu usually focuses on Distributed computing, concentrating on Autonomic computing and intersecting with Software architecture.
His work on Performance engineering is typically connected to Self adaptive as part of general Software engineering study, connecting several disciplines of science.
The various areas that Marin Litoiu examines in his Software study include Systems engineering and Source code.
In Social software engineering, Marin Litoiu works on issues like Software Engineering Process Group, which are connected to Software requirements.
He most often published in these fields:
- Cloud computing (42.64%)
- Distributed computing (31.47%)
- Software engineering (24.37%)
What were the highlights of his more recent work (between 2015-2021)?
- Cloud computing (42.64%)
- Distributed computing (31.47%)
- Scalability (8.12%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Cloud computing, Distributed computing, Scalability, Software system and Big data.
His studies deal with areas such as Software-defined networking, Adaptation and Flexibility as well as Cloud computing.
The study incorporates disciplines such as Quality of service, Elasticity, Cloud testing, Provisioning and Adaptive system in addition to Distributed computing.
Marin Litoiu usually deals with Scalability and limits it to topics linked to Capacity planning and Systems development life cycle.
His Software system study integrates concerns from other disciplines, such as Robustness, Control theory, Distributed System Security Architecture, Logical security and Key.
To a larger extent, Marin Litoiu studies Software engineering with the aim of understanding DevOps.
Between 2015 and 2021, his most popular works were:
- Software engineering for self-adaptive systems: research challenges in the provision of assurances (50 citations)
- Efficiency Analysis of Provisioning Microservices (28 citations)
- Delivering elastic containerized cloud applications to enable DevOps (27 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Software
- Cloud computing
His scientific interests lie mostly in Cloud computing, Software system, Distributed computing, Scalability and Big data.
His work in Cloud computing addresses issues such as Software deployment, which are connected to fields such as Capacity planning.
His work carried out in the field of Software system brings together such families of science as Key, Software engineering and Control theory.
His Distributed computing research incorporates elements of Adaptive system and Robustness.
While the research belongs to areas of Scalability, he spends his time largely on the problem of Virtualization, intersecting his research to questions surrounding Web application, Service delivery framework, Service provider and Utility computing.
His Big data study combines topics in areas such as Analytics and Data warehouse.
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