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Concept

Task (computing)

Related publications (16)

Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers

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

Computing servers play a key role in the development and process of emerging compute-intensive applications in recent years. However, they need to operate efficiently from an energy perspective viewpoint, while maximizing the performance and lifetime of th ...

2022

Benchmarking, Analysis, and Optimization of Serverless Function Snapshots

Edouard Bugnion, Boris Robert Grot, Evangelos Marios Kogias, Dmitrii Ustiugov

Serverless computing has seen rapid adoption due to its high scalability and flexible, pay-as-you-go billing model. In serverless, developers structure their services as a collection of functions, sporadically invoked by various events like clicks. High in ...

2021

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

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao

Real-time workload estimation can be an important tool to improve human-machine interaction. Despite multiple efforts in this sense, most studies focused on tasks designed to have extreme conditions of workload (high vs low), and these levels remain rather ...

IEEE2018

Hybrid, Job-Aware, and Preemptive Datacenter Scheduling

Pamela Isabel Delgado Borda

Scheduling in datacenters is an important, yet challenging problem. Datacenters are composed of a large number, typically tens of thousands, of commodity computers running a variety of data-parallel jobs. The role of the scheduler is to assign cluster reso ...

EPFL2018

Bridging the gap between dataplanes and commodity operating systems

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. In particular, dataplanes borrow d ...

EPFL2018

Don't cry over spilled records: Memory elasticity of data-parallel applications and its application to cluster scheduling

Willy Zwaenepoel, Syed Mohammad Aunn Raza, Calin Iorgulescu, Florin Dinu

Understanding the performance of data-parallel workloads when resource-constrained has significant practical importance but unfortunately has received only limited attention. This paper identifies, quantifies and demonstrates memory elasticity, an intrinsi ...

The USENIX Association2017

Decentralized list scheduling

Nicolas Gabriel Gast

Classical list scheduling is a very popular and efficient technique for scheduling jobs for parallel and distributed platforms. It is inherently centralized. However, with the increasing number of processors, the cost for managing a single centralized list ...

2013

Task Scheduling for Highly Concurrent Analytical and Transactional Main-Memory Workloads

Anastasia Ailamaki, Iraklis Psaroudakis

Task scheduling typically employs a worker thread per hardware context to process a dynamically changing set of tasks. It is an appealing solution to exploit modern multi-core processors, as it eases parallelization and avoids unnecessary context switches ...

2013

Approximation Algorithms for Modern Multi-Processor Scheduling Problems

Martin Niemeier

This thesis is devoted to the design and analysis of algorithms for scheduling problems. These problems are ubiquitous in the modern world. Examples include the optimization of local transportation, managing access to concurrent resources like runways at a ...

EPFL2012

Greedy Scheduling for Distributed Computing Clusters

Milan Vojnovic, Amin Karbasi

Allocating tasks to machines in computing clusters is described. In an embodiment a set of tasks associated with a job are received at a scheduler. In an embodiment an index can be computed for each combination of tasks and processors and stored in a looku ...

2011

The effects of practice schedule and critical thinking prompts on learning and transfer of a complex judgment task

Annechien Sarah Helsdingen

Many instructional strategies that appear to improve learners' performance during training may not realize adequate posttest performance or transfer to a job. The converse has been found to be true as well: Instructional strategies that appear to slow the ...

2011

Scheduling periodic tasks in a hard real-time environment

Friedrich Eisenbrand, Martin Niemeier, Nicolai Hähnle

We give a rigorous account on the complexity landscape of an important real-time scheduling problem that occurs in the design of software-based aircraft control. The goal is to distribute tasks

\tau_i=(c_i,p_i)

on a minimum number of identical machines a ...

Springer-Verlag2010

EDF-schedulability of synchronous periodic task systems is coNP-hard

Friedrich Eisenbrand, Thomas Rothvoss

In the synchronous periodic task model, a set \tau_1,...,\tau_n of tasks is given, each releasing jobs of running time c_i with relative deadline d_i, at each integer multiple of the period p_i. It is a classical result that Earliest Deadline First (EDF) i ...

2010

A Tighter Analysis of Work Stealing

Nicolas Gabriel Gast

Classical list scheduling is a very popular and efficient technique for scheduling jobs in parallel platforms. However, with the increasing number of processors, the cost for managing a single centralized list becomes prohibitive. The objective of this wor ...

Springer Berlin Heidelberg2010

Multi-Agent Adaptive Mechanism Leading to Optimal Real-Time Load Sharing

Max-Olivier Hongler, Olivier Gallay

We propose a new real-time load sharing policy (LSP), which optimally dispatches the incoming workload according to the current availability of the operators. Optimality means here that the global service permanently requires the engagement of a minimum nu ...

2009