Drowsy-DC: Data center power management system

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We discuss some properties of generative models for word embeddings. Namely, (Arora et al., 2016) proposed a latent discourse model implying the concentration of the partition function of the word vectors. This concentration phenomenon led to an asymptotic ...

This paper advances the work presented at ITHERM 2020 where a novel passive two-phase technology was introduced for more efficient cooling of datacenters compared to air-based cooling solutions (e.g. In-Room, In-Row, etc.). The proposed hybrid two-phase co ...

The selection criteria for NIST's Lightweight Crypto Standardization (LWC) have been slowly shifting towards the lightweight efficiency of designs, given that a large number of candidates already establish their security claims on conservative, well-studie ...

Epilepsy is one of the most prevalent paroxystic neurological disorders. It is characterized by the occurrence of spontaneous seizures. About 1 out of 3 patients have drug-resistant epilepsy, thus their seizures cannot be controlled by medication. Automati ...

The energy industry is going through challenging times of disruptive changes caused by decarbonization, decentralization, and digitalization. As the energy value chain is restructuring itself to accommodate the growing penetration of renewables, increasing ...

Improving the energy efficiency of data centers while guaranteeing Quality of Service (QoS), together with detecting performance variability of servers caused by either hardware or software failures, are two of the major challenges for efficient resource m ...

The energy efficiency requirements of most energy-consuming sectors have increased recently in response to climate change. For buildings, this means targeting both facility managers and building users with the aim of identifying potential energy savings an ...

With the surge in complexity of edge workloads, it appeared in the scientific community that such workloads cannot be anymore overflown to the cloud due to the huge edge device to server communication energy cost and the high energy consumption induced in ...

Transportation electrification is increasing and recently-more focus has been directed on heavy vehicles and especially on city buses. Battery electric buses are inherently more energy efficient than diesel buses and the efficiency can be further increased ...

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 ...

The single-server multi-message private information retrieval with side information problem is studied for general cases. In this problem, K independent messages are stored at a single server. One user initially has M messages as side information and wants ...

Federated Learning (FL) is a machine learning setting where many devices collaboratively train a machine learning model while keeping the training data decentralized. In most of the current training schemes the central model is refined by averaging the par ...

To meet today's data management needs, it is a widespread practice to use distributed data storage and processing systems. Since the publication of the MapReduce paradigm, a plethora of such systems arose, but although widespread, the capabilities of these ...

Run-time profiling of software applications is key to energy efficiency. Even the most optimized hardware combined to an optimally designed software may become inefficient if operated poorly. Moreover, the diversification of modern computing platforms and ...

The large share of energy consumption in the residential sector has necessitated better understanding and evaluation of the energy needs in this sector, with the objective of identifying possible pathways for improvement. A series of approaches have been u ...

Drowsy-DC: Data center power management system

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Further results on latent discourse models and word embeddings

Hybrid Two-Phase Cooling Technology For Next-Generation Servers: Thermal Performance Analysis

Energy Analysis of Lightweight AEAD Circuits

Personalized Real-Time Federated Learning for Epileptic Seizure Detection

The digitalization of energy systems: towards higher energy efficiency

MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers

Real-World Implementation of an ICT-Based Platform to Promote Energy Efficiency

Functionality Enhanced Memories for Edge-AI Embedded Systems

Reducing the Energy Consumption of Electric Buses With Design Choices and Predictive Driving

Multi-Objective System-Level Management of Modern Green Data Centers

Single-server Multi-message Private Information Retrieval with Side Information: the General Cases

Ensemble Distillation for Robust Model Fusion in Federated Learning

Formal Approaches to Querying Big Data in Shared-Nothing Systems

Containergy-A Container-Based Energy and Performance Profiling Tool for Next Generation Workloads

Geographically Parameterized Residential Sector Energy and Service Profile