scholarly journals Sleep-Scheduling Strategies in Hospital Shiftworkers

2021 ◽  
Vol Volume 13 ◽  
pp. 1593-1609
Author(s):  
Elizabeth M Harrison ◽  
Alexandra P Easterling ◽  
Abigail M Yablonsky ◽  
Gena L Glickman
Keyword(s):  
Sleep Scheduling ◽  
Scheduling Strategies

High-Density Randomly Deployed Nodes Sleep Scheduling Algorithm in Wireless Sensor Networks

2013 ◽  
Vol 846-847 ◽  
pp. 446-451
Author(s):  
Dong Qing Zhang ◽  
Deng Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Scheduling Algorithm ◽  
High Density ◽  
Wireless Sensor ◽  
Sleep Scheduling ◽  
Network Boundary ◽  
Scheduling Strategies ◽  
Simulation Results ◽  
Neighbor Table

The high-density randomly deployment of nodes in Wireless Sensor Networks results in a large number of redundant nodes due to the overlap of sensing areas. A scheduling algorithm for redundant nodes is proposed to effectively prolong the lifetime of WSN. The algorithm focuses on employing different scheduling strategies on border nodes and internal nodes to avoid contraction of the network boundary by judging whether a node is on the network boundary according to the number of working nodes in its neighbor table. The simulation results show that the algorithm can effectively prolong the lifetime of the network.

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.

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

scholarly journals Integrated sleep scheduling for multiple relays and UEs in LTE-TDD

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Chun-Chuan Yang ◽  
Yi-Ting Mai ◽  
Jeng-Yueng Chen ◽  
Chen-Ming Yang
Keyword(s):  
Sleep Scheduling ◽  
Multiple Relays

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
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