Concept
Microsoft Azure
Related publications (12)
Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications
Joshua Alexander Harrison Klein
The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...
EPFL2024uKharon: A Membership Service for Microsecond Applications
Rachid Guerraoui, Antoine Murat, Javier Picorel Obando, Athanasios Xygkis
Modern data center fabrics open the possibility of microsecond distributed applications, such as data stores and message queues. A challenging aspect of their development is to ensure that, besides being fast in the common case, these applications react fa ...
USENIX Association2023Secured Routines: Language-based Construction of Trusted Execution Environments
James Richard Larus, Edouard Bugnion, Adrien Ghosn
Trusted Execution Environments (TEEs), such as Intel SGX enclaves, use hardware to ensure the confidentiality and integrity of operations on sensitive data. While the technology is available on many processors, the complexity of its programming model and i ...
USENIX ASSOC2019Multi-Objective System-Level Management of Modern Green Data Centers
In our modern society, the average citizen has turned into a daily cloud user. Despite being virtually transparent for the user, internet services require data centers behind the scenes. Data centers burn several megawatts of power and their electricity bi ...
EPFL2019Live Demonstration: An IoT Cloud-Based Architecture for Anesthesia Monitoring
Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Abuduwaili Tuoheti, Nadia Tamburrano, Thiébaud Modoux
Medical Internet of Things (IoT) solutions are already paving the way towards the realization of Smart Hospitals. Following this trend, we propose an IoT cloud-based network for anesthesia on-line monitoring. This architecture allows the anesthesiologist t ...
IEEE2018Point cloud subjective evaluation methodology based on reconstructed surfaces
Touradj Ebrahimi, Evangelos Alexiou
Point clouds have been gaining importance as a solution to the problem of efficient representation of 3D geometric and visual information. They are commonly represented by large amounts of data, and compression schemes are important for their manipulation ...
SPIE-INT SOC OPTICAL ENGINEERING2018Traffic Receipts for Network Transparency
Today's Internet is not transparent: when packets get lost or delayed, there is typically no information about where the problem occurred, hence no information about who is responsible. This results in Internet service providers (ISPs) offering service lev ...
EPFL2018Energy Proportionality in Near-Threshold Computing Servers and Cloud Data Centers: Consolidating or Not?
David Atienza Alonso, Marina Zapater Sancho, Luca Benini, Ali Pahlevan, Yasir Mahmood Qureshi
Cloud Computing aims to efficiently tackle the increasing demand of computing resources, and its popularity has led to a dramatic increase in the number of computing servers and data centers worldwide. However, as effect of post-Dennard scaling, computing ...
2018Cloud Storage Service Benchmarking: Methodologies and Experimentations
Data storage is one of today’s fundamental services with companies, universities and research centers having the need of storing large amounts of data every day. Cloud storage services are emerging as strong alternative to local storage, allowing customers ...
2014