<--- Back to Details
First PageDocument Content
Concurrent computing / System software / Computing / Scheduling / Free software / Parallel computing / Planning / Completely Fair Scheduler / Thread / Windows Task Scheduler / Multi-core processor / Apache Hadoop
Date: 2018-04-01 04:31:32
Concurrent computing
System software
Computing
Scheduling
Free software
Parallel computing
Planning
Completely Fair Scheduler
Thread
Windows Task Scheduler
Multi-core processor
Apache Hadoop

THE OS SCHEDULER: A PERFORMANCE-CRITICAL COMPONENT IN LINUX CLUSTER ENVIRONMENTS KEYNOTE FOR BPOE-9 @ ASPLOS2018 THE NINTH WORKSHOP ON BIG DATA BENCHMARKS,

Add to Reading List

Source URL: prof.ict.ac.cn

Download Document from Source Website

File Size: 1,05 MB

Share Document on Facebook

Similar Documents

Using GORE method for Requirement Engineering of Planning & Scheduling Javier Martnez Silva Department of Mechatronics Engineering University of S˜ao Paulo, S˜ao Paulo, Brazil, Professor Morais, 2231

Using GORE method for Requirement Engineering of Planning & Scheduling Javier Martnez Silva Department of Mechatronics Engineering University of S˜ao Paulo, S˜ao Paulo, Brazil, Professor Morais, 2231

DocID: 1xW1J - View Document

Hierarchical Task Model with Alternatives for Predictive-reactive Scheduling Marek Vlk and Roman Barta´k (supervisor) Charles University in Prague, Faculty of Mathematics and Physics Malostranske´ na´m. 25, Pra

Hierarchical Task Model with Alternatives for Predictive-reactive Scheduling Marek Vlk and Roman Barta´k (supervisor) Charles University in Prague, Faculty of Mathematics and Physics Malostranske´ na´m. 25, Pra

DocID: 1xVDu - View Document

From Non-preemptive to Preemptive Scheduling using Synchronization Synthesis ⋆ ˇ Pavol Cern´ y1 , Edmund M. Clarke2 , Thomas A. Henzinger3 , Arjun 4

From Non-preemptive to Preemptive Scheduling using Synchronization Synthesis ⋆ ˇ Pavol Cern´ y1 , Edmund M. Clarke2 , Thomas A. Henzinger3 , Arjun 4

DocID: 1xVyQ - View Document

Generating Optimal Scheduling for Wireless Sensor Networks by Using Optimization Modulo Theories Solvers∗ Gergely Kovásznai, Csaba Biró, and Balázs Erdélyi Eszterházy Károly University, Eger, Hungary IoT Research

Generating Optimal Scheduling for Wireless Sensor Networks by Using Optimization Modulo Theories Solvers∗ Gergely Kovásznai, Csaba Biró, and Balázs Erdélyi Eszterházy Károly University, Eger, Hungary IoT Research

DocID: 1xVqK - View Document

2016 IEEE Real-Time Systems Symposium  On-Line Event-Driven Scheduling for Electric Vehicle Charging via Park-and-Charge 1

2016 IEEE Real-Time Systems Symposium On-Line Event-Driven Scheduling for Electric Vehicle Charging via Park-and-Charge 1

DocID: 1xVlA - View Document