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Universidade de São Paulo (USP). Escola de Artes, Ciências e Humanidades (EACH) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Dr. Daniel Cordeiro is a Professor at the School of Arts, Sciences and Humanities at the University of São Paulo. He received his PhD in Mathematics and Informatics from the Université de Grenoble, France, and his MSc and BSc in Computer Science from the University of São Paulo. His main research interests include High Performance Computing and Scheduling Theory (and its applications to multi-objective optimization problems, approximation algorithms, algorithmic game theory, etc.). His current research projects are related to Sustainable Computing; in particular, he investigates how to apply High Performance Computing to reduce the environmental impact of running High Performance Computing applications and to reduce carbon emissions in Smart Cities. (Source: Lattes Curriculum)
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Applications running in VMs can exhibit idle periods, for example, lazy polling waiting for a network packet or a thread in a synchronization pool waiting for other threads to join. Even in the Cloud, a recent study shows that at least 25% of applications are idle 50% of their lifetime in VMs. In this project, we propose to design smart governors (IDLE-SAVE) to tackle the sub-optimal ener…
The CCD - Carbon Neutral Cities was conceived with the ambition of assisting cities in combating climate change, with the vision of proposing solutions aimed at increasing the climate resilience of infrastructure and people, incorporating nature-based technologies into cities, and bringing solutions to the market that operates in cities and contributes to emissions in cities. The CCD Carb…
Cloud computing platforms support most services and applications that we use every day, such as social networks, e-mail, video games, and video streaming, and is a key element for the development of smart cities. However, cloud computing platforms consume a massive amount of electricity: the data centers that host these platforms consume 1% of the power generated globally. In order to red…
Human activities increasingly depend on computer programs that run on cloud computing platforms. The data centers on such platforms have considerably increased their processing capacities to cope with the growing demand. This increase has led us to a scenario in which 2% of all global energy demand in 2022 and approximately 2% of greenhouse gas emissions are due to these data centers. Sev…
Scheduling Theory techniques have been widely used by the scientific community as a tool to build high performance parallel and distributed systems. The application of these techniques allows not only a better understanding of the system and its underlying execution models, but also the creation of efficient heuristics and approximation algorithms with guaranteed performance.In this scien…
Human activities increasingly depend on computer programs running on cloud computing platforms. To cope with the growing demand, the data centers used in such platforms have significantly increased their processing capacities. This increase led us to a scenario where 2% of the global energy demand in 2022 and approximately 2% of greenhouse gas emissions were attributed to these data cente…
| 2 / 2 | Ongoing grants |
| 1 / 1 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 2 / 1 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 7 / 6 | All research grants and scholarships |
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