scholarly journals Comparison Of Centralized And Decentralized Scheduling Algorithms Using GSSIM Simulation Environment

2008 ◽  
pp. 185-196 ◽  
Author(s):  
Marcin Krystek ◽  
Krzysztof Kurowski ◽  
Ariel Oleksiak ◽  
Krzysztof Rzadca
Keyword(s):  
Scheduling Algorithms ◽  
Simulation Environment ◽  
Decentralized Scheduling

scholarly journals Decentralized Scheduling Algorithm for DAG Based Tasks on P2P Grid

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Piyush Chauhan ◽  
Nitin
Keyword(s):  
Distributed Computing ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Communication Cost ◽  
Computation Cost ◽  
Grid Systems ◽  
Acyclic Graph ◽  
Computational Resources ◽  
Decentralized Scheduling ◽  
Grid Resources

Complex problems consisting of interdependent subtasks are represented by a direct acyclic graph (DAG). Subtasks of this DAG are scheduled by the scheduler on various grid resources. Scheduling algorithms for grid strive to optimize the schedule. Nowadays a lot of grid resources are attached by P2P approach. Grid systems and P2P model both are newfangled distributed computing approaches. Combining P2P model and grid systems we get P2P grid systems. P2P grid systems require fully decentralized scheduling algorithm, which can schedule interreliant subtasks among nonuniform computational resources. Absence of central scheduler caused the need for decentralized scheduling algorithm. In this paper we have proposed scheduling algorithm which not only is fruitful in optimizing schedule but also does so in fully decentralized fashion. Hence, this unconventional approach suits well for P2P grid systems. Moreover, this algorithm takes accurate scheduling decisions depending on both computation cost and communication cost associated with DAG’s subtasks.

Santos: A physics-based digital human simulation environment

2006 ◽  
Author(s):  
Karim Abdel-Malek ◽  
Jasbir Arora ◽  
Jingzhou Yang ◽  
Timothy Marler ◽  
Steve Beck ◽  
...  
Keyword(s):  
Simulation Environment ◽  
Digital Human ◽  
Human Simulation

Capacity-Fairness Controllable Scheduling Algorithms for Single-Carrier FDMA

2014 ◽  
Vol E97.B (7) ◽  
pp. 1474-1482 ◽  
Author(s):  
Takayoshi IWATA ◽  
Hiroyuki MIYAZAKI ◽  
Fumiyuki ADACHI
Keyword(s):  
Scheduling Algorithms ◽  
Single Carrier

A Simulation Environment for Analyzing the Impact of Volcanic Ash on Trajectory-Based Air Traffic Management

2013 ◽  
Author(s):  
Angela Schmitt ◽  
Ruzica Vujasinovic ◽  
Christiane Edinger ◽  
Julia Zillies ◽  
Vilmar Mollwitz
Keyword(s):  
Traffic Management ◽  
Volcanic Ash ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Simulation Environment ◽  
The Impact

A Speculative Study on Hadoop Scheduling Algorithms

2018 ◽  
Vol 6 (6) ◽  
pp. 1171-1176
Author(s):  
Vanika . ◽  
Aman Kumar Sharma
Keyword(s):  
Scheduling Algorithms

A Survey of Various Task Scheduling Algorithms In Cloud Computing

2013 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
V. Srikanth Reddy ◽  
V. Krishna Reddy
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithms

A SURVEY ON ENERGY AWARE JOB SCHEDULING ALGORITHMS IN CLOUD ENVIRONMENT

2016 ◽  
Vol 3 (1) ◽  
pp. 30 ◽  
Author(s):  
NASEERA SHAIK ◽  
JYOTHEESWAI P ◽  
◽  
Keyword(s):  
Job Scheduling ◽  
Scheduling Algorithms ◽  
Cloud Environment ◽  
Energy Aware
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