A survey of hard real-time scheduling for multiprocessor systems

RI Davis, A Burns - ACM computing surveys (CSUR), 2011‏ - dl.acm.org
This survey covers hard real-time scheduling algorithms and schedulability analysis
techniques for homogeneous multiprocessor systems. It reviews the key results in this field …

Evaluation of information modeling methods-a review

K Siau, M Rossi - Proceedings of the thirty-first hawaii …, 1998‏ - ieeexplore.ieee.org
Hundreds of modeling methods are in existence today, yet practitioners and researchers are
zealously" producing" new modeling methods. The" blooming" of modeling methods is not …

[کتاب][B] Algorithms and theory of computation handbook, volume 2: special topics and techniques

MJ Atallah, M Blanton - 2009‏ - books.google.com
This handbook provides an up-to-date compendium of fundamental computer science
topics, techniques, and applications. Along with updating and revising many of the existing …

Divisible load theory: A new paradigm for load scheduling in distributed systems

V Bharadwaj, D Ghose, TG Robertazzi - Cluster Computing, 2003‏ - Springer
Divisible load theory is a methodology involving the linear and continuous modeling of
partitionable computation and communication loads for parallel processing. It adequately …

Bandwidth‐aware divisible task scheduling for cloud computing

W Lin, C Liang, JZ Wang… - Software: Practice and …, 2014‏ - Wiley Online Library
Task scheduling is a fundamental issue in achieving high efficiency in cloud computing.
However, it is a big challenge for efficient scheduling algorithm design and implementation …

Ten reasons to use divisible load theory

TG Robertazzi - Computer, 2003‏ - ieeexplore.ieee.org
During the past decade, divisible load theory has become a powerful tool for modeling data-
intensive computational problems. DLT emerged from a desire to create intelligent sensor …

Scheduling divisible loads on star and tree networks: results and open problems

O Beaumont, H Casanova, A Legrand… - … on Parallel and …, 2005‏ - ieeexplore.ieee.org
Many applications in scientific and engineering domains are structured as large numbers of
independent tasks with low granularity. These applications are thus amenable to …

Energy-aware scheduling of embarrassingly parallel jobs and resource allocation in cloud

L Shi, Z Zhang, T Robertazzi - IEEE Transactions on Parallel …, 2016‏ - ieeexplore.ieee.org
In cloud computing, with full control of the underlying infrastructures, cloud providers can
flexibly place user jobs on suitable physical servers and dynamically allocate computing …

[کتاب][B] Multicore and GPU Programming: An integrated approach

G Barlas - 2014‏ - books.google.com
Multicore and GPU Programming offers broad coverage of the key parallel computing
skillsets: multicore CPU programming and manycore" massively parallel" computing. Using …

[کتاب][B] Parallel algorithms

H Casanova, A Legrand, Y Robert - 2008‏ - taylorfrancis.com
Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms
presents a rigorous yet accessible treatment of theoretical models of parallel computation …