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Proceedings ArticleDOI

Implementation of a Cloud IaaS with Dynamic Resource Allocation Method Using OpenStack

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TLDR
This work implemented a virtualization environment, and wrote an algorithm to solve the traditional migration problem that needs manually determining whether the machine load is too heavy or not, and the purpose of automatic dynamic migration to balance resources of servers is achieved.
Abstract
In this work, we particularly focus on the use of free open-source software, so that end users do not need to spend a huge amount of software license fees. For cloud computing, virtualization technology delivers numerous benefits in addition to being one of the basic roles to build a cloud environment. By virtualization, enterprises can maximize working efficiency without the need to install more facilities in the computer room. In this study, we implemented a virtualization environment and performed experiments on it. The main subject of it is how to use the Open Stack open-source software to build a cloud infrastructure with high availability and a dynamic resource allocation mechanism. It provides a private cloud solution for business and organizations. It belongs to Infrastructure as a Service (IaaS), one of the three service models in the cloud. For the part of the user interface, a web interface was used to reduce the complexity of access to cloud resources for users. We measured the performance of live migration of virtual machines with different specifications and analyzed the data. Also according to live migration modes, we wrote an algorithm to solve the traditional migration problem that needs manually determining whether the machine load is too heavy or not, as a result, the virtual machine load level is automatically detected, and the purpose of automatic dynamic migration to balance resources of servers is achieved.

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Citations
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Journal ArticleDOI

Failover strategy for fault tolerance in cloud computing environment

TL;DR: It is argued that the proposed SFS algorithm makes the system highly fault tolerant by considering forward and backward recovery using diverse software tools, laying a foundation for a fully fault‐tolerant infrastructure as a service cloud environment.
Proceedings ArticleDOI

Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment

TL;DR: Preliminary test of the algorithm indicates that the rate of increase in pass rate exceeds the decrease in failure rate and it also considers forward and backward recovery using diverse software tools, which suggests a good performance of the model compared to current existing approaches.
Proceedings ArticleDOI

Analysis of Cloud Test Beds Using OpenSource Solutions

TL;DR: The various toolkits, parameters of these tools, and their usability for researchers looking to deploy their own Cloud test beds are analyzed, presenting an in-depth critical analysis of open source cloud implementation tools such as CloudStack, Eucalyptus, Nimbus, OpenStack, OpenNebula, OpenIoT.
Proceedings ArticleDOI

An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment

TL;DR: A model that tolerate faults based on the reliability of each computing node or virtual machine, removing these from the availability list if the performance is not optimal is proposed, laying the foundation for a fully fault tolerant IaaS Cloud environment.
Journal ArticleDOI

Secure Cloud Connectivity for Scientific Applications

TL;DR: This article presents a case study of the DII-HEP secure cloud infrastructure and proposes an approach to securely scale-out a private cloud deployment to public clouds in order to support hybrid cloud scenarios and chooses one of the standardized alternatives, Host Identity Protocol, for further experimentation.
References
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Journal ArticleDOI

Performance and energy modeling for live migration of virtual machines

TL;DR: This work constructs application-oblivious models for the cost prediction by using learned knowledge about the workloads at the hypervisor (also called VMM) level and evaluates the models using five representative workloads on a Xen virtualized environment.
Journal ArticleDOI

Secure virtualization for cloud computing

TL;DR: It is shown how virtualization can increase the security of cloud computing, by protecting both the integrity of guest virtual machines and the cloud infrastructure components and a novel architecture, Advanced Cloud Protection System, aimed at guaranteeing increased security to cloud resources.
Journal ArticleDOI

Dynamic resource management using virtual machine migrations

TL;DR: This article outlines the components required to use virtual machine migration for dynamic resource management in the virtualized cloud environment, and presents categorization and details of migration heuristics aimed at reducing server sprawl, minimizing power consumption, balancing load across physical machines, and so on.
Proceedings ArticleDOI

Performance and energy modeling for live migration of virtual machines

TL;DR: This work constructs two application-oblivious models for the cost prediction by using learned knowledge about the workloads at the hypervisor (also called VMM) level and evaluates the models using five representative workloads on a Xen virtualized environment.
Journal ArticleDOI

Policy based resource allocation in IaaS cloud

TL;DR: Proposed dynamic planning based scheduling algorithm is implemented in Haizea that can admit new leases and prepare the schedule whenever a new lease can be accommodated and maximizes resource utilization and acceptance of leases compared to the existing algorithm.
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