Information-Flow Aware Virtual Machines: Foundations for Trustworthy Computing

2009 ◽  
Author(s):  
Michael Franz
Keyword(s):  
Information Flow ◽  
Virtual Machines ◽  
Trustworthy Computing

scholarly journals Tenant-Led Ciphertext Information Flow Control for Cloud Virtual Machines

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 15156-15169
Author(s):  
Zhao Zhang ◽  
Zhi Yang ◽  
Xuehui Du ◽  
Wenfa Li ◽  
Xingyuan Chen ◽  
...  
Keyword(s):  
Flow Control ◽  
Information Flow ◽  
Virtual Machines ◽  
Information Flow Control

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.

Sign in / Sign up

Export Citation Format

Share Document