OpenNebula: A Cloud Management Tool

Milojičić, Dejan; Llorente, Ignacio; Montero, Rubén

doi:10.1109/mic.2011.44

Cited by 214 publications

(129 citation statements)

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“…For example, OpenNebula [113] allows allocating virtual CPUs to a fraction of the available physical CPUs, using support of Xen and KVM [38] hypervisors. This, however, could lead to violating the SLAs (e.g.…”

Section: Resource-allocation Planning and Utilisation Forecastingmentioning

confidence: 99%

Service level agreements-driven management of distributed applications in cloud computing environments

Antonescu

Braun

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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Section: Resource-allocation Planning and Utilisation Forecastingmentioning

confidence: 99%

Service level agreements-driven management of distributed applications in cloud computing environments

Antonescu

Braun

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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“…OpenNebula [42] supports creating virtual networks based on VLANs. It defines fixed and ranged virtual networks.…”

Section: A Network Virtualization In Iaas Software Cloud Platformsmentioning

confidence: 99%

Network Virtualization for QoS-Aware Resource Management in Cloud Data Centers: A Survey

Rygielski

Kounev

2013

PIK - Praxis Der Informationsverarbeitung Und Kommunikation

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Abstract-The increasing popularity of Cloud Computing is leading to the emergence of large virtualized data centers hosting increasingly complex and dynamic IT systems and services. Over the past decade, the efficient sharing of computational resources through virtualization has been subject to intensive research, while network management in cloud data centers has received less attention. A variety of network-intensive applications require QoS (Quality-of-Service) provisioning, performance isolation and support for flexible and efficient migration of virtual machines. In this paper, we survey existing network virtualization approaches and evaluate the extent to which they can be used as a basis for realizing the mentioned requirements in a cloud data center. More specifically, we identify generic network virtualization techniques, characterize them according to their features related to QoS management and performance isolation, and show how they can be composed together and used as building blocks for complex network virtualization solutions. We then present an overview of selected representative cloud platforms and show how they leverage the generic techniques as a basis for network resource management. Finally, we outline open issues and research challenges in the area of performance modeling and proactive resource management of virtualized data center infrastructures.

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“…In terms of Cloud management, there are products and approaches available beside TOSCA such as VMware's virtualization and Cloud management, 5 OpenNebula (Milojičić et al, 2011), OpenStack, 6 and others (Han et al, 2009). But these are primarily focused on the lower-level infrastructure.…”

Section: Cloud Service Providermentioning

confidence: 99%

Integrating Configuration Management with Model-driven Cloud Management based on TOSCA

Wettinger¹,

Behrendt²,

Binz³

et al. 2013

Proceedings of the 3rd International Conference on Cloud Computing and Services Science

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Abstract:The paradigm of Cloud computing introduces new approaches to manage IT services going beyond concepts originating in traditional IT service management. The main goal is to automate the whole management of services to reduce costs and to make management tasks less error-prone. Two different service management paradigms are used in practice: configuration management and model-driven Cloud management. The latter one aims to be a holistic management approach for services in the Cloud. However, both management paradigms are originating in different backgrounds, thus model-driven Cloud management does not cover all aspects of configuration management that are key for Cloud services. This paper presents approaches for integrating configuration management with model-driven Cloud management and how they can be realized based on the OASIS Topology and Orchestration Specification for Cloud Applications and Chef, a popular configuration management tool. These approaches enable the creation of holistic and highly portable service models.

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OpenNebula: A Cloud Management Tool

Cited by 214 publications

References 0 publications

Service level agreements-driven management of distributed applications in cloud computing environments

Service level agreements-driven management of distributed applications in cloud computing environments

Network Virtualization for QoS-Aware Resource Management in Cloud Data Centers: A Survey

Integrating Configuration Management with Model-driven Cloud Management based on TOSCA

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