VANET Based p-RSA Scheduling Algorithm Using Dynamic Cloud Storage

2017 ◽  
Vol 98 (4) ◽  
pp. 3527-3547 ◽  
Author(s):  
Smita Singh ◽  
Sarita Negi ◽  
Shashi Kant Verma
Author(s):  
Yong Wang ◽  
Xiaoling Tao ◽  
Feng Zhao ◽  
Bo Tian ◽  
Akshita Maradapu Vera Venkata Sai

AbstractCloud computing is a novel computing paradigm, which connects plenty of computing resources and storage resources via Internet. Cloud computing provides a number of high-quality services, such as cloud storage, outsourcing computing, and on-demand self-service, which have been widely accepted by the public. In cloud computing, by submitting their tasks to cloud, plenty of applications share huge computation and storage resources. However, how to schedule resource efficiently is a big challenge in cloud computing.In this paper, we propose a SLA-aware resource algorithm to enable cloud storage more efficiently. In our scheme, we take advantage of the back-end node space utilization and I/O throughput comprehensively simultaneously. We compare and contrast the existing scheduling storage policies by implementing those algorithms. The extensive tests show that our algorithm achieves a considerable improvement in terms of violation rate and the number of used hosts.


2014 ◽  
Vol 989-994 ◽  
pp. 2200-2203 ◽  
Author(s):  
Pei Wang

In this paper,the authors briefly describe the development of cloud storage and give an improved cloud storage model. This paper proposes a scheduling algorithm based on Priority (SAP). According to the priority of data block ,the algorithm schedules on mastering the supply and demand of data block comprehensively and accurately, and solves the system's launch delay and the continuity of streaming media player.


2021 ◽  
Vol 17 (3) ◽  
pp. 155014772110063
Author(s):  
Jin Wang ◽  
Miao Zhang ◽  
Xiang Gu ◽  
Tiequan Wang ◽  
Jie Wang ◽  
...  

This article focuses on how to effectively make full use of the storage resources in vehicular cloud. A trust mechanism called DI-Trust (Trust Model Based on Dynamic Incentive Mechanism) is proposed to schedule vehicular cloud storage resource. The discussion is under the scenario of the parking lot where vehicle nodes are in static state. The model can reasonably arrange the suitable scheduling algorithm according to the attribute characteristics of different kind of service requirements. The trust value of a vehicle is updated according to the model to fully utilize the vehicle idle storage resources. The simulation experiment results show that the model can work effectively. It can objectively evaluate trust values of vehicle nodes, and construct the effective resource schedule of the vehicular cloud storage resource to meet needs from users.


Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey

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.


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