Publications related to System resource

Special Session: Challenges and Opportunities for Sustainable Multi-Scale Computing Systems

David Atienza Alonso, Miguel Peon Quiros

Multi-Scale computing systems aim at bringing the computing as close as possible to the data sources, to optimize both computation and networking. These systems are composed of at least three computing layers: the terminal layer, the edge layer, and the cl ...

ACM2023

System Support for Robust Distributed Learning

Arsany Hany Abdelmessih Guirguis

Machine learning (ML) applications are ubiquitous. They run in different environments such as datacenters, the cloud, and even on edge devices. Despite where they run, distributing ML training seems the only way to attain scalable, high-quality learning. B ...

EPFL2022

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Maryam Kamgarpour, Andreas Krause, Ilija Bogunovic

Motivated by applications in shared mobility, we address the problem of allocating a group of agents to a set of resources to maximize a cumulative welfare objective. We model the welfare obtainable from each resource as a monotone DR-submodular function w ...

PMLR2021

Equinox: Training (for Free) on a Custom Inference Accelerator

Babak Falsafi, Martin Jaggi, Louis Coulon, Ahmet Caner Yüzügüler, Mario Paulo Drumond Lages De Oliveira, Arash Pourhabibi Zarandi

DNN inference accelerators executing online services exhibit low average loads because of service demand variability, leading to poor resource utilization. Unfortunately, reclaiming idle inference cycles is difficult as other workloads can not execute on a ...

ACM2021

Task scheduling for highly concurrent analytical and transaction workloads

Anastasia Ailamaki, Iraklis Psaroudakis

Systems and method for a task scheduler with dynamic adjustment of concurrency levels and task granularity are disclosed for improved execution of highly concurrent analytical and transactional systems. The task scheduler can avoid both over commitment and ...

2020

A system design for elastically scaling transaction processing engines in virtualized servers

Anastasia Ailamaki, Angelos Christos Anadiotis, Raja Appuswamy, Hillel Avni

Online Transaction Processing (OLTP) deployments are migrating from on-premise to cloud settings in order to exploit the elasticity of cloud infrastructure which allows them to adapt to workload variations. However, cloud adaptation comes at the cost of re ...

ASSOC COMPUTING MACHINERY2020

Ontology-Based Resource Allocation for Internet of Things

Damiano Nunzio Arena, Zeinab Nezami

The Internet of Things has revolutionized the lifestyle in all aspects. Considering the huge number of connected objects and the plethora of real-time services, edge computing approaches have emerged. Resource allocation is one of the most important challe ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

David Atienza Alonso, Marina Zapater Sancho, Ali Pahlevan, Xiaoyu Qu

Modern cloud data centers (DCs) need to tackle efficiently the increasing demand for computing resources and address the energy efficiency challenge. Therefore, it is essential to develop resource provisioning policies that are aware of virtual machine (VM ...

2018

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System resource

Special Session: Challenges and Opportunities for Sustainable Multi-Scale Computing Systems

System Support for Robust Distributed Learning

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Equinox: Training (for Free) on a Custom Inference Accelerator

Task scheduling for highly concurrent analytical and transaction workloads

A system design for elastically scaling transaction processing engines in virtualized servers

Ontology-Based Resource Allocation for Internet of Things

Linebacker: Preserving Victim Cache Lines in Idle Register Files of GPUs

A comprehensive real-time analysis model at the LHCb experiment

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Graph Chatbot

Chat with Graph Search

A system design for elastically scaling transaction processing engines in virtualized servers

Linebacker: Preserving Victim Cache Lines in Idle Register Files of GPUs

Ontology-Based Resource Allocation for Internet of Things

System Support for Robust Distributed Learning

Task scheduling for highly concurrent analytical and transaction workloads

A comprehensive real-time analysis model at the LHCb experiment

Special Session: Challenges and Opportunities for Sustainable Multi-Scale Computing Systems

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Equinox: Training (for Free) on a Custom Inference Accelerator

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers