Concept
Google Cloud Platform
Publications associées (50)
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds
David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Darong Huang, Ali Pahlevan
Computing servers have played a key role in developing and processing emerging compute-intensive applications in recent years. Consolidating multiple virtual machines (VMs) inside one server to run various applications introduces severe competence for limi ...
2024M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems
David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Alireza Amirshahi, Farnaz Forooghifar, Saleh Baghersalimi
Integrating low-power wearable systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables make it possible to target complex scenarios by exploiting multiple biosignals and using high-perfor ...
2024uKharon: 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 Association2023Caching and Neutrality
Pavlos Nikolopoulos, Muhammad Abdullah
We are used to defining network neutrality as absence of traffic differentiation, like policing or shaping. These mechanisms, however, are often not what determines end-users’ quality of experience (QoE). Most content today is accessed through edge caches, ...
ACM Association for Computing Machinery2023Skadi: Building a Distributed Runtime for Data Systems in Disaggregated Data Centers
Data-intensive systems are the backbone of today's computing and are responsible for shaping data centers. Over the years, cloud providers have relied on three principles to maintain cost-effective data systems: use disaggregation to decouple scaling, use ...
New York2023Pixels: An Efficient Column Store for Cloud Data Lakes
Anastasia Ailamaki, Haoqiong Bian
To benefit from the cloud’s higher elasticity and price-efficiency, most modern data-lake engines support S3-like cloud object storage (COS) services as their optional or preferred underlying storage. Meanwhile, the widespread column stores, such as Parque ...
IEEE2022U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
Pascal Frossard, Nikolaos Dimitriadis, Ahmet Caner Yüzügüler
Optimizing resource utilization in target platforms is key to achieving high performance during DNN inference. While optimizations have been proposed for inference latency, memory footprint, and energy consumption, prior hardware-aware neural architecture ...
SPRINGER INTERNATIONAL PUBLISHING AG2022HyperLogLog: Exponentially Bad in Adversarial Settings
Computing the count of distinct elements in large data sets is a common task but naive approaches are memory-expensive. The HyperLogLog (HLL) algorithm (Flajolet et al., 2007) estimates a data set's cardinality while using significantly less memory than a ...
IEEE COMPUTER SOC2022Next-generation brain observatories
Mackenzie Mathis, Shreya Saxena
We propose centralized brain observatories for large-scale recordings of neural activity in mice and non-human primates coupled with cloud-based data analysis and sharing. Such observatories will advance reproducible systems neuroscience and democratize ac ...
CELL PRESS2022When to Hedge in Interactive Services
In online data-intensive (OLDI) services, each client request typically executes on multiple servers in parallel; as a result, “system hiccups”, although rare within a single server, can interfere with many client requests and cause violations of service-l ...
USENIX2021