A novel packet scheduling scheme based on adaptive power/delay for efficient resource allocation in downlink CDMA systems

Author(s):  
Jin Yuan Sun ◽  
Yi Fan Peng ◽  
Lian Zhao
2019 ◽  
Author(s):  
Vamshikrishna S

UNSTRUCTURED The traditional Job Management System(JMS) handles only physical resources as computational resources. Computational resources are allocated to a job as computing nodes in HPC (High-Performance Computing) cluster system and the job procedures are implemented directly on allocated computing nodes. It is realized that the throughput of the SDN is enhanced only if it possesses better resource allocation and scheduling criteria. Thus in this review, it is sketched about various effective resource allocation schemes along with better job scheduling methods. On the same time, the lagging in each method are discussed and from that, the solution for improving the throughput of the system is found out. Thus this review may overlay way to formulate a better and well-organized Resource allocation and Job scheduling scheme for improving the throughput of the SDN whereas in turn the performance of the system also said to be enhanced.


2012 ◽  
Vol 236-237 ◽  
pp. 1163-1167
Author(s):  
Li Shui Chen ◽  
Gui Zhong Liu ◽  
Jun Fang Wang ◽  
Qin Li Wang ◽  
Hai Dong Wang

A priority based packet scheduling scheme for video streaming (rtPS) over WiMAX networks, which corporate with a resource allocation algorithm, has been proposed in this paper. After resource allocation algorithm allocates all the resources available among service flows, packet scheduling algorithm schedules packets in each packet queue according to current byte loss rate of video streaming queue. Priorities of the video packets in the queue and delays of these packets until all the resources for this flow are used up. Simulation results show that the proposed algorithm has better performance for video streaming and can protect the packets which have higher priority from being left, so the video quality has some improvement.


2009 ◽  
Vol E92-B (2) ◽  
pp. 533-543 ◽  
Author(s):  
Jae Soong LEE ◽  
Jae Young LEE ◽  
Soobin LEE ◽  
Hwang Soo LEE

2020 ◽  
Vol 13 (5) ◽  
pp. 1008-1019
Author(s):  
N. Vijayaraj ◽  
T. Senthil Murugan

Background: Number of resource allocation and bidding schemes had been enormously arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud services depending on the reputation would not produce fair result in cloud computing. Since the cloud users not only looking for the efficient services but in major they look towards the cost. So here there is a way of introducing the bidding option system that includes efficient user centric behavior analysis model to render the cloud services and resource allocation with low cost. Objective: The allocation of resources is not flexible and dynamic for the users in the recent days. This gave me the key idea and generated as a problem statement for my proposed work. Methods: An online auction framework that ensures multi bidding mechanism which utilizes user centric behavioral analysis to produce the efficient and reliable usage of cloud resources according to the user choice. Results: we implement Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis. Thus the algorithm is implemented and system is designed in such a way to provide better allocation of cloud resources which ensures bidding and user behavior. Conclusion: Thus the algorithm Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis is implemented & system is designed in such a way to provide better allocation of cloud resources which ensures bidding, user behavior. The user bid data is trained accordingly such that to produce efficient resource utilization. Further the work can be taken towards data analytics and prediction of user behavior while allocating the cloud resources.


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