Deploying OpenStack: Virtual Infrastructure or Dedicated Hardware

Nasim, Robayet; Kassler, Andreas

doi:10.1109/compsacw.2014.18

Cited by 19 publications

(5 citation statements)

References 2 publications

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“…OpenStack is the most common open source solutions of Cloud which offers Infrastructure as a Service (IaaS) architecture. There are three main advantages that make Open-Stack an attractive candidate among other private Cloud solutions [43], [44]:…”

Section: Openstack Cloud Computingmentioning

confidence: 99%

Deployment and Analysis of a Hybrid Shared/Distributed-Memory Parallel Visualization Tool for 3-D Oil Reservoir Grid on OpenStack Cloud Computing

et al. 2020

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The main goal of oil reservoir management is to provide more efficient, price-effective and environmentally more secure oil production. Oil production management includes an accurate characterization of the reservoir and strategies that involve interactions between reservoir data and human assessment. Hence, it is important to graphically visualize and handle massive data sets of oil and gas pressure / saturation levels to help decision makers in statistical analysis, history matching and recovery of hydrocarbons of the reservoir. In this article, we experimentally study the parallelization of intensive computation for a 3-D (three dimensional) oil reservoir data visualization tool. For this tool, we develop and implement a transformation and lighting model to visualize and react with the grid. Herein, we propose a hybrid (shared memory and distributed memory) parallelization technique to adapt with the data processing scalability. We tested these implementations on OpenStack Cloud Virtual Cluster. Our results indicate that although the virtual platform adds overhead for running parallel implementations, utilizing knowledge of the VM location on the compute host and network traffic among VMs to deploy the virtual environment can achieve significant performance enhancements. Hybrid parallel implementation using large data size can achieve 70× speedup over serial execution without owning a costly HPC infrastructure as the conventional parallel processing deployment model.INDEX TERMS Cloud computing, data visualization tool, HPC, hybrid (distributed/shared)-memoryparallel programming, MPI, multi-threading, OpenStack.

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Section: Openstack Cloud Computingmentioning

confidence: 99%

Deployment and Analysis of a Hybrid Shared/Distributed-Memory Parallel Visualization Tool for 3-D Oil Reservoir Grid on OpenStack Cloud Computing

et al. 2020

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“…Technology agnostic: VARYS is a general MaaS framework that is designed to support multiple, potentially any, target platform, including VM-based solution [20] and containers-based solutions [5], and multiple probing technologies, such as Elastic Stack Beats [10], Prometheus Exporters [22] or custom probes. Since all the decisions that depend on technologies are taken by the framework itself, operators can use the same MaaS solution to target largely different cloud environments.…”

Section: The Varys Approachmentioning

confidence: 99%

VARYS: an agnostic model-driven monitoring-as-a-service framework for the cloud

Tundo

Mobilio

Orrù

et al. 2019

Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of

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Cloud systems are large scalable distributed systems that must be carefully monitored to timely detect problems and anomalies. While a number of cloud monitoring frameworks are available, only a few solutions address the problem of adaptively and dynamically selecting the monitored indicators, based on the actual needs of the operator. Unfortunately, these solutions are either limited to infrastructure-level indicators or technology-specific, for instance, they are designed to work with OpenStack only. This paper presents the VARYS monitoring framework, a technology-agnostic Monitoring-as-a-Service solution that can monitor KPIs at all levels of the Cloud stack, including the applicationlevel. Operators use VARYS to indicate their monitoring goals declaratively, letting the framework to perform the operations necessary to achieve a requested monitoring configuration automatically. Interestingly, the VARYS architecture is general and extendable, and can be used to support increasingly more platforms and probing technologies.

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“…In 2014, R. Nasim and A. J. Kassler [4] deployed OpenStack in a virtual infrastructure and dedicated hardware to observe performance parameters. The result from this type of study can support decision making when selecting the underlined hardware in deploying OpenStack.…”

Section: Related Workmentioning

confidence: 99%

“…This section describes OpenStack and UCaaS implementations with dedicated hardware for the implementation of IaaS and the deployment of UCaaS to be hosted as a cloud service. For ease of deployment in this test bed we have deployed openstack in one computer, all-in-one, acting as controller, network and compute nodes as described in Table I. OpenStack can also be deployed in a virtual environment [4]. For a single-machine installation, the following minimum system specifications are recommended.…”

Section: Ucaas Deploymentmentioning

confidence: 99%

Design and Implementation of Unified Communications as a Service Based on the Open Stack Cloud Environment

Tesfamicael

Liu

Caelli

2015

2015 IEEE International Conference on Computational Intelligence &Amp; Communication Technology

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Cloud Computing, based on early virtual computer concepts and technologies, is now itself a maturing technology in the marketplace and it has revolutionized the IT industry, being the powerful platform that many businesses are choosing to migrate their in-premises IT services onto. Cloud solution has the potential to reduce the capital and operational expenses associated with deploying IT services on their own. In this study, we have implemented our own private cloud solution, infrastructure as a service (IaaS), using the OpenStack platform with high availability and a dynamic resource allocation mechanism. Besides, we have hosted unified communication as a service (UCaaS) in the underlying IaaS and successfully tested voice over IP (VoIP), video conferencing, voice mail and instant messaging (IM) with clients located at the remote site. The proposed solution has been developed in order to give advice to bussinesses that want to build their own cloud environment, IaaS and host cloud services and applicatons in the cloud. This paper also aims at providing an alternate option for proprietary cloud solutions for service providers to consider.

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Deploying OpenStack: Virtual Infrastructure or Dedicated Hardware

Cited by 19 publications

References 2 publications

Deployment and Analysis of a Hybrid Shared/Distributed-Memory Parallel Visualization Tool for 3-D Oil Reservoir Grid on OpenStack Cloud Computing

Deployment and Analysis of a Hybrid Shared/Distributed-Memory Parallel Visualization Tool for 3-D Oil Reservoir Grid on OpenStack Cloud Computing

VARYS: an agnostic model-driven monitoring-as-a-service framework for the cloud

Design and Implementation of Unified Communications as a Service Based on the Open Stack Cloud Environment

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