Adding flexibility to multi-tenant networks

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Recent advances in machine learning have dramatically increased model size and computational requirements, increasingly straining computing system capabilities. This tension is particularly acute for resource-constrained edge scenarios, for which careful h ...

Dynamic situations and applications are supported by the diverse devices and communication technologies that constitute the Internet of Things concept. Despite this, communication backlogs are common due to rising network demand and insufficient resource a ...

Function-as-a-Service (FaaS) has emerged as a popular cloud paradigm that simplifies software development and deployment by providing scalable and event-driven function execution without the burden of managing servers. FaaS was originally created with a fu ...

Vital sign detection is used across ubiquitous scenarios in medical and health settings, and contact and wearable sensors have been widely deployed. However, they are unsuitable for patients with burn wounds or infants with insufficient areas for attachmen ...

A method for optimizing memory access for database operations is provided. The method may include performing a first database operation by at least executing a first instruction stream associated with the first database operation. The first database opera ...

Analytical workloads are evolving as the number of users surges and applications that submit queries in batches become popular. However, traditional analytical databases that optimize-then-execute each query individually struggle to provide timely response ...

The AIDRES database aims to support the long-term objective of a fully integrated industrial strategy in the EU 27, providing a service to the European Commission and a catalogue for industries to understand the effectiveness, efficiency and cost of potent ...

The optimal pricing of goods, especially when they are new and the innovating firm is a monopolist, must proceed without precise knowledge of the demand curve. This paper provides a pricing method with a relative robustness guarantee by maximizing a perfor ...

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

Building-integrated photovoltaics (BIPV) are dual purpose, providing both energy and building functions. Aesthetics play a crucial role in the BIPV market, with increasing demand for uniformly colored modules for building skins. Achieving this requires hid ...

The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...

Combined high-fusion performance and long-pulse operation is one of the key integration challenges for fusion energy development in magnetic devices. Addressing these challenges requires an integrated vision of physics and engineering aspects with the purp ...

Structure determination of materials is key to understanding their physical properties. While single-crystal X-ray diffraction is the gold standard for structures displaying long-range order, many materials of interest are polycrystalline and/or disordered ...

This article investigates the performance and accuracy of continuous Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) position tracking for hydromorphological surveys, based on a comprehensive river restoration monitoring campaign. The a ...

Lawful Interception (LI) is a legal obligation of Communication Service Providers (CSPs) to provide interception capabilities to Law Enforcement Agencies (LEAs) in order to gain insightful data from network communications for criminal proceedings, e.g., ne ...

The advancement of face recognition technology has delivered substantial societal advantages. However, it has also raised global privacy concerns due to the ubiquitous collection and potential misuse of individuals' facial data. This presents a notable par ...

Due to the increasing demands of today's fast-paced world, mental health concerns are on the rise, which necessitates innovative approaches to provide support to those in need. Open-domain conversational agents known as chatbots, offer a unique opportunit ...

The security guarantees of cloud computing depend on the isolation guarantees of the underlying hypervisors. Prior works have presented effective methods for automatically identifying vulnerabilities in hypervisors. However, these approaches are limited in ...

Modern hardware is increasingly complex, requiring increasing effort to understand in order to carefully engineer systems for optimal performance and effective utilization. Moreover, established design principles and assumptions are not portable to modern ...

Hydropower has a long tradition in Europe and contributed significantly during the last century to industrial development and welfare in most of the countries in Europe. The ambitious plan for an energy transition in Europe now seeks to achieve a lowcarbon ...

Adding flexibility to multi-tenant networks

Chat with Graph Search

Keep All in Memory with Maxwell: a Near-SRAM Computing Architecture for Edge AI Applications

Enhancing dynamic resource management in decentralized federated learning for collaborative edge Internet of Things

Single-Address-Space FaaS with Jord

Photonic radar for contactless vital sign detection

Determining an optimum quantity of interleaved instruction streams of defined coroutines

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

AIDRES: A database for the decarbonisation of the heavy industry in Europe

Monopoly Pricing with Unknown Demand

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Stability of black interconnect coatings for solar photovoltaic module applications

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Long plasma duration operation analyses with an international multi-machine (tokamaks and stellarators) database

NMR Crystallography in the Big Data Era: New Methods and Applications Powered by Machine Learning

Performance and accuracy of cross‐section tracking methods for hydromorphological habitat assessment in wadable rivers with sparse canopy conditions

P3LI5: Practical and confidEntial Lawful Interception on the 5G core

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

Empathetic Conversational Agents for Distress Support

HYPERPILL: fuzzing for hypervisor-bugs by leveraging the hardware virtualization interface

Chaosity: Understanding Contemporary NUMA-architectures

Importance of hydropower reservoirs and dams in Europe to mitigate the energy crisis and to serve as a catalyst and enabler for the Green Deal