Work-stealing with configurable scheduling strategies

2013 ◽  
Author(s):  
Martin Wimmer ◽  
Daniel Cederman ◽  
Jesper Larsson Träff ◽  
Philippas Tsigas
Keyword(s):  
Work Stealing ◽  
Scheduling Strategies

Work-stealing with configurable scheduling strategies

2013 ◽  
Vol 48 (8) ◽  
pp. 315-316 ◽  
Author(s):  
Martin Wimmer ◽  
Daniel Cederman ◽  
Jesper Larsson Träff ◽  
Philippas Tsigas
Keyword(s):  
Work Stealing ◽  
Scheduling Strategies

Task Scheduling in cloud using ACO

2020 ◽  
Vol 13 ◽  
Author(s):  
Yuvaraj Natarajan ◽  
Srihari Kannan ◽  
Gaurav Dhiman
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Limited Resource ◽  
Cloud Environment ◽  
Clear Cut ◽  
Strategic Approach ◽  
User Demand ◽  
Scheduling Strategies ◽  
Cloud Users ◽  
And Task

Background: Cloud computing is a multi-tenant model for computation that offers various features for computing and storage based on user demand. With increasing cloud users, the usage increases that highlights the problem of load balancing with limited resource availability based on dynamic cloud environment. In such cases, task scheduling creates fundamental issue in cloud environment. Introduction: Certain problems such as, inefficiencies in load balancing latency, throughput ratio, proper utilization of the cloud resources, better energy consumption and response time have been observed. These drawbacks can be efficiently resolved through the incorporation of efficient load balancing and task scheduling strategies. Method: In this paper, we develop an efficient co-operative method to solve the most recent approaches against load balancing and task scheduling have been proposed using Ant Colony Optimization (ACO). These approaches enables in the clear cut identification of the problems associated with the load balancing and task scheduling strategies in the cloud environment. Results: The simulation is conducted to find the efficacy of the improved ACO system for load balancing in cloud than the other methods. The result shows that the proposed method obtains reduced execution time, reduced cost and delay. Conclusion: A unique strategic approach is developed in this paper, Load Balancing, which works with the ACO in relation to the cloud workload balancing task through the incorporation of the ACO technique. The strategy for determining the applicant nodes is based on which the load balancing approach would essentially depend. By incorporating two different approaches: the maximum minute rules and the forward-backward ant, this reliability task can be established. This method is intended to articulate the initialization of the pheromone and thus upgrade the relevant cloud-based physical properties.

scholarly journals Energy-efficient work-stealing language runtimes

2014 ◽  
Vol 49 (4) ◽  
pp. 513-528
Author(s):  
Haris Ribic ◽  
Yu David Liu
Keyword(s):  
Energy Efficient ◽  
Work Stealing ◽  
Efficient Work

Asymmetry-aware work-stealing runtimes

2016 ◽  
Vol 44 (3) ◽  
pp. 40-52 ◽  
Author(s):  
Christopher Torng ◽  
Moyang Wang ◽  
Christopher Batten
Keyword(s):  
Work Stealing

Fence-free work stealing on bounded TSO processors

2014 ◽  
Vol 49 (4) ◽  
pp. 413-426 ◽  
Author(s):  
Adam Morrison ◽  
Yehuda Afek
Keyword(s):  
Work Stealing

Evaluating deficit irrigation scheduling strategies to improve yield and water productivity of maize in arid environment using simulation

2021 ◽  
Vol 249 ◽  
pp. 106812
Author(s):  
Ahmed Attia ◽  
Salah El-Hendawy ◽  
Nasser Al-Suhaibani ◽  
Majed Alotaibi ◽  
Muhammad Usman Tahir ◽  
...  
Keyword(s):  
Deficit Irrigation ◽  
Water Productivity ◽  
Arid Environment ◽  
Irrigation Scheduling ◽  
Scheduling Strategies

scholarly journals A Case for Work-stealing on FPGAs with OpenCL Atomics

2016 ◽  
Author(s):  
Nadesh Ramanathan ◽  
John Wickerson ◽  
Felix Winterstein ◽  
George A. Constantinides
Keyword(s):  
Work Stealing
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