Distributed integrity and non-repudiation scheme in the dynamic vehicular cloud environment

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Sunilkumar Manvi ◽  
Nayana Hegde
Keyword(s):  
Cloud Environment ◽  
Vehicular Cloud

scholarly journals Dynamic Data Integrity Auditing Method Supporting Privacy Protection in Vehicular Cloud Environment

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 43785-43797 ◽  
Author(s):  
Bilin Shao ◽  
Genqing Bian ◽  
Yue Wang ◽  
Shenghao Su ◽  
Cheng Guo
Keyword(s):  
Privacy Protection ◽  
Data Integrity ◽  
Cloud Environment ◽  
Dynamic Data ◽  
Vehicular Cloud

TSP-HVC: a novel task scheduling policy for heterogeneous vehicular cloud environment

2018 ◽  
Vol 11 (4) ◽  
pp. 853-858 ◽  
Author(s):  
S. K. Bhoi ◽  
S. K. Panda ◽  
S. R. Ray ◽  
R. K. Sethy ◽  
V. K. Sahoo ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Cloud Environment ◽  
Vehicular Cloud ◽  
Scheduling Policy

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.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

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