Optimistic Scheduling Algorithm for Mobile Transactions based on Reordering

2001 ◽  
pp. 105-117 ◽  
Author(s):  
SungSuk Kim ◽  
Chong-Sun Hwang ◽  
HeonChang Yu ◽  
SangKeun Lee
Keyword(s):  
Scheduling Algorithm

Task Scheduling Algorithm based on Resources Segregation in Cloud Environment

2018 ◽  
pp. 96-101
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Waiting Time ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Machine Utilization ◽  
Independent Tasks ◽  
Optimal Machine

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.

New Scheduling Algorithm Proposed for Real Time Traffic Over LTE Femto-Cell

2015 ◽  
Vol 5 (6) ◽  
pp. 383
Author(s):  
Mohammed Mahfoudi ◽  
Moulhime El Bekkali ◽  
Abdellah Najid ◽  
Mohamed El Ghazi ◽  
Said Mazer
Keyword(s):  
Real Time ◽  
Scheduling Algorithm ◽  
Real Time Traffic

Zero Forcing Beamforming Based Coordinated Scheduling Algorithm for Downlink Coordinated Multi-Point Transmission System

2015 ◽  
Vol E98.B (2) ◽  
pp. 352-359 ◽  
Author(s):  
Ping WANG ◽  
Lei DING ◽  
Huifang PANG ◽  
Fuqiang LIU ◽  
Nguyen Ngoc VAN
Keyword(s):  
Scheduling Algorithm ◽  
Transmission System ◽  
Zero Forcing ◽  
Coordinated Scheduling

COORDINATED DISTRIBUTED SCHEDULING IN WIRELESS MESH NETWORK

2012 ◽  
Vol 3 (3) ◽  
pp. 368-374
Author(s):  
Usha Kumari ◽  
Udai Shankar
Keyword(s):  
Network Performance ◽  
Mesh Networks ◽  
Mac Protocol ◽  
Scheduling Algorithm ◽  
Ieee 802.16 ◽  
Distributed Scheduling ◽  
Mesh Network ◽  
Fourth Generation ◽  
Network Nodes ◽  
Wireless Mesh

IEEE 802.16 based wireless mesh networks (WMNs) are a promising broadband access solution to support flexibility, cost effectiveness and fast deployment of the fourth generation infrastructure based wireless networks. Reducing the time for channel establishment is critical for low latency/interactive Applications. According to IEEE 802.16 MAC protocol, there are three scheduling algorithms for assigning TDMA slots to each network node: centralized and distributed the distributed is further divided into two operational modes coordinated distributed and uncoordinated distributed. In coordinated distributed scheduling algorithm, network nodes have to transmit scheduling message in order to inform other nodes about their transfer schedule. In this paper a new approach is proposed to improve coordinated distributed scheduling efficiency in IEEE 802.16 mesh mode, with respect to three parameter Throughput, Average end to end delay and Normalized Overhead. For evaluating the proposed networks efficiency, several extensive simulations are performed in various network configurations and the most important system parameters which affect the network performance are analyzed

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