scholarly journals Enforcing Performance Isolation Across Virtual Machines in Xen

2006 ◽  
pp. 342-362 ◽  
Author(s):  
Diwaker Gupta ◽  
Ludmila Cherkasova ◽  
Rob Gardner ◽  
Amin Vahdat
Keyword(s):  
Virtual Machines ◽  
Performance Isolation

scholarly journals VIRTUAL WLAN: EXTENSION OF WIRELESS NETWORKING INTO VIRTUALIZED ENVIRONMENTS

2011 ◽  
pp. 322-329
Author(s):  
Ghannam Aljabari ◽  
Evren Eren
Keyword(s):  
Ieee 802.11 ◽  
Wireless Lan ◽  
Virtual Machines ◽  
Performance Testing ◽  
Wireless Networking ◽  
Network Interface ◽  
Performance Isolation ◽  
Physical Infrastructure ◽  
Ethernet Networks ◽  
And Performance

In wired Ethernet networks (IEEE 802.3), a physical network interface can be connected to different network segments or shared among multiple virtual machines. In wireless LAN (IEEE 802.11) sharing a wireless network interface is recognized to be a difficult task. However, virtualization can solve this problem. In this paper we will introduce a software platform for hosting multiple virtual wireless networks over a shared physical infrastructure by means of open source virtualization techniques. We present the design, implementation, and performance testing of this platform. Results have shown that the hosting platform can extend wireless networking into virtualized environments without compromising the performance, isolation, or wireless LAN security mechanisms.

scholarly journals A Taxonomy of container security on computational clouds: concerns and solutions

2019 ◽  
Vol 26 (1) ◽  
pp. 47
Author(s):  
Guilherme Panizzon ◽  
Joao Henrique Faes Battisti ◽  
Guilherme Piegas Koslovski ◽  
Maurício Aronne Pillon ◽  
Charles Christian Miers
Keyword(s):  
Operating System ◽  
Virtual Machines ◽  
Security Requirements ◽  
Complex Task ◽  
The Core ◽  
Performance Isolation ◽  
Service Operation ◽  
Safety Recommendation ◽  
Container Security ◽  
Selection Of

VirtualizationincloudcomputinghasbeenusedincombinationwithenvironmentsPlatformas a Service (PaaS) and Infrastructure as a Service (IaaS) in order to provide performance, isolation, and scalability. However, containers and virtual machines (VMs) are susceptible to the vulnerabilities present in the core of operating system as well as container solutions, which are a risk for information and service operation of all entities sharing a same host. The safety recommendation guides aims to mitigate the security in this scenario, but the selection of containerization solutions taking into account security requirements is a complex task. Thus, we propose a security taxonomy focused on containers to cloud computing in order to assist the classification and evaluation containers security mechanisms and solutions.

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.

Allocation of Virtual Machines to the Cloud Network Using the Barking-Deer Approach

2020 ◽  
Author(s):  
Himadri Biswas ◽  
Sudipta Sahana ◽  
Priyajit Sen ◽  
Debabrata Sarddar
Keyword(s):  
Virtual Machines ◽  
Cloud Network
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