Publications associées à DejaVu: Accelerating Resource Allocation in Virtualized Environments

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

David Atienza Alonso, Ali Pahlevan, Marina Zapater Sancho, Luis Maria Costero Valero, Darong Huang

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 ...

2024

Efficient Analytical Query Processing on CPU-GPU Hardware Platforms

Periklis Chrysogelos

Timely insights lead to business growth and scientific breakthroughs but require analytical engines that cope with the ever-increasing data processing needs. Analytical engines relied on rapid CPU improvements, yet the end of Dennard scaling stopped the fr ...

EPFL2022

Performance Characterization of HTAP Workloads

Anastasia Ailamaki, Utku Sirin, Sandhya Dwarkadas

Hybrid Transactional and Analytical Processing (HTAP) systems have become popular in the past decade. HTAP systems allow running transactional and analytical processing workloads on the same data and hardware. As a result, they suffer from workload interfe ...

IEEE COMPUTER SOC2021

JIT works: decide when all data is known (VLDB Women in Database Research Award talk)

Anastasia Ailamaki

When the time comes to make a critical decision, it is of paramount importance to prepare enough so that all the information necessary is available at decision time. Under-preparation leads to uninformed decisions; over-preparation, however, may lead to co ...

ASSOC COMPUTING MACHINERY2020

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

Ali Pahlevan

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 ...

EPFL2019

Placement of Virtual Containers on NUMA systems: A Practical and Comprehensive Model

Baptiste Joseph Eustache Lepers

Our work addresses the problem of placement of threads, or virtual cores, onto physical cores in a multicore NUMA system. Different placements result in varying degrees of contention for shared resources, so choosing the right placement can have a large ef ...

USENIX ASSOC2018

Analysis of the vertical displacement of energy pile groups

Lyesse Laloui, Alessandro Francesco Rotta Loria

Over the last fifty years, the interaction factor method has been widely used to address the vertical displacement and the increased deformation of conventional pile groups subjected to mechanical loads when group effects and interactions occur among the p ...

2018

A Scalable and Secure System Architecture for Smart Buildings

Georgios Lilis

Recent years has seen profound changes in building technologies both in Europe and worldwide. With the emergence of Smart Grid and Smart City concepts, the Smart Building has attracted considerable attention and rapid development. The introduction of novel ...

EPFL2017

The IX Operating System: Combining Low Latency, High Throughput, and Efficiency in a Protected Dataplan

Edouard Bugnion, Christos Kozyrakis, Ana Klimovic, Georgios Prekas, Mia Primorac

The conventional wisdom is that aggressive networking requirements, such as high packet rates for small messages and μs-scale tail latency, are best addressed outside the kernel, in a user-level networking stack. We present ix, a dataplane operating system ...

Association for Computing Machinery2016

Designing a Virtual Runtime for FPGA Accelerators in the Cloud

Paolo Ienne, Nithin George, Mikhail Asiatici

FPGAs can provide high performance and energy efficiency to many applications; therefore, they are attractive computing platforms in a cloud environment. However, FPGA application development requires extensive hardware design knowledge which significantly ...

Ieee2016

Runtime Prediction for Scale-Out Data Analytics

Adrian Daniel Popescu

Many analytics applications generate mixed workloads, i.e., workloads comprised of analytical tasks with different processing characteristics including data pre-processing, SQL, and iterative machine learning algorithms. Examples of such mixed workloads ca ...

EPFL2015

Laboratory as a Service (LaaS): a Model for Developing and Implementing Remote Laboratories as Modular Components

Denis Gillet, Christophe Salzmann, Mohamed Tawfik

This contribution introduces a novel model, Laboratory as a Service (LaaS), for developing remote laboratories as independent component modules and implementing them as a set of loosely-coupled services to be consumed with a high level of abstraction and v ...

IEEE2014

IX: A Protected Dataplane Operating System for High Throughput and Low Latency

Edouard Bugnion, Christos Kozyrakis, Ana Klimovic, Georgios Prekas

The conventional wisdom is that aggressive networking requirements, such as high packet rates for small messages and microsecond-scale tail latency, are best addressed outside the kernel, in a user-level networking stack. We present IX, a dataplane operati ...

USENIX2014

Accelerating resource allocation in virtualized environments using workload classes and/or workload signatures

Ricardo Bianchini, Dejan Kostic, Nedeljko Vasic, Dejan Novakovic

Systems, methods, and apparatus for managing resources assigned to an application or service. A resource manager maintains a set of workload classes and classifies workloads using workload signatures. In specific embodiments, the resource manager minimizes ...

2013

Bringing Virtualization to the x86 Architecture with the Original VMware Workstation

Edouard Bugnion

This article describes the historical context, technical challenges, and main implementation techniques used by VMware Workstation to bring virtualization to the x86 architecture in 1999. Although virtual machine monitors (VMMs) had been around for decades ...

Association for Computing Machinery2012

Performance Profiling of Virtual Machines

Willy Zwaenepoel, Jiaqing Du

Profilers based on hardware performance counters are indispensable for performance debugging of complex software systems. All modern processors feature hardware performance counters, but current virtual machine monitors (VMMs) do not properly expose them t ...

2011

Performance Profiling in a Virtualized Environment

Willy Zwaenepoel, Jiaqing Du

Virtualization is a key enabling technology for cloud computing. Many applications deployed in a cloud run in virtual machines. However, profilers based on CPU performance counters do not work well in a virtualized environment. In this paper, we explore th ...

2010

Language Virtualization for Heterogeneous Parallel Computing

Martin Odersky, Tiark Rompf, Hassan Chafi

As heterogeneous parallel systems become dominant, application developers are being forced to turn to an incompatible mix of low level programming models (e.g. OpenMP, MPI, CUDA, OpenCL). However, these models do little to shield developers from the diffic ...

2010

A Realistic Simulator for the Design and Evaluation of Intelligent Vehicles

Alcherio Martinoli, Sven Adrian Gowal

The number of vehicles hitting the road each day is rapidly increasing, and several problems, such as traffic conges- tion or driver safety, can no longer be solved in the same fashion as before. Intelligent transportation systems could potentially solve p ...

2010

Optimizing network performance in virtual machines

Aravind Menon

In recent years, there has been a rapid growth in the adoption of virtual machine technology in data centers and cluster environments. This trend towards server virtualization is driven by two main factors: the savings in hardware cost that can be achieved ...

EPFL2009