Towards Runtime Reconfiguration of Application Control Policies in the Cloud

Vaquero, Luis M.; Morán, Daniel; Galán, Fermín; Calero, José M. Alcaraz

doi:10.1007/s10922-012-9251-3

Cited by 21 publications

(18 citation statements)

References 12 publications

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“…Zhao and Huang [18] presented the live migration of virtual machines in a Red Hat Cluster environment based on a cost function of I/O usage. Vaquero et al [19] present the most advanced work for migration of services in the cloud domain. Further, they show how load can be balanced between the private and public cloud domain.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Interoperability between cloud vendors, extensibility and the descriptive nature of the syntax is important qualities [19]. Also, it is possible to hide service-specific details when a service can be migrated as part of the virtual machine.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The performance of virtual machine migration may be low. It may take tens of seconds to migrate a Web server [19] or a VM [17,18]. This may lead to further problems, especially when service migration should be a quick operation, for example migration during traffic peaks.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Vaquero has presented similar work on the migration of services in the cloud domain [19]. Service definition is based on the OVF-standard, and a policy language is applied to specify migration rules.…”

Section: Comparison To Literaturementioning

confidence: 99%

“…Differences to our work are lack of details about monitoring (in the Custom-monitoring module), and their focus on virtualised environments. On the other hand, Vaquero et al [19] have performed a detailed performance evaluation for migration rules (e.g. Rule manager), which is also important.…”

Section: Comparison To Literaturementioning

confidence: 99%

See 4 more Smart Citations

Mechanism and architecture for the migration of service implementation during traffic peaks

Pääkkönen

Pakkala

2014

SOCA

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Service-Oriented Architecture has been widely applied in enterprise computing systems for software-enabled services. However, cost efficiency and scalability requirements have moved the execution environment towards the cloud domain. Hybrid approaches have emerged, which utilise both enterprise and cloud domains in order to balance between the cost of service execution and the provided Quality of Service (QoS) for end users. This paper presents a migration, monitoring and load-balancing mechanism and architecture for scaling services between the enterprise and cloud domains during traffic peaks. The argued benefit of the proposal is the automation of the service-migration process and improvement of the QoS. A prototype system is presented as a proof of the conceptual architecture. The performance results in a hybrid cloud environment indicate that service implementation can be migrated and load can be balanced within 200 ms. Furthermore, the mechanism can improve the QoS for end users during traffic peaks. Our approach differs from existing proposals by focusing on the migration of service implementation, instead of the migration of service as part of a virtual machine.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Comparison To Literaturementioning

confidence: 99%

Section: Comparison To Literaturementioning

confidence: 99%

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Mechanism and architecture for the migration of service implementation during traffic peaks

Pääkkönen

Pakkala

2014

SOCA

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Misconfiguration of Cluster and IoT Systems Recovery: Extended Experiments

Samir,

Dagenborg,

EL Ioini

2024

Communications in Computer and Information Science

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Multi-dimensional Model Driven Policy Generation

Ouedraogo

Biennier

2014

Communications in Computer and Information Science

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Abstract. As Cloud Computing provides agile and scalable IT infrastructure, QoS-assured services and customizable computing environment, it increases the call for agile and dynamic deployment and governance environments over multi-cloud infrastructure. By now, governance and Non Functional Properties (such as security, QoS…) are managed in a static way, limiting the global benefits of deploying service-based information system over multi-cloud environments. To overcome this limit, we propose a contextualised policy generation process to allow both an agile management NFP in a multi-cloud context and a secured deployment of the service-based information system. The last step of this Model Driven Policy Engineering approach uses policies as Model@runtime to select, compose, deploy and orchestrate NFP management functions depending on the exact execution context. Moreover, a dynamic governance loop including autonomic KPI management is used to control continuously the governance results.

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Towards Runtime Reconfiguration of Application Control Policies in the Cloud

Cited by 21 publications

References 12 publications

Mechanism and architecture for the migration of service implementation during traffic peaks

Mechanism and architecture for the migration of service implementation during traffic peaks

Misconfiguration of Cluster and IoT Systems Recovery: Extended Experiments

Multi-dimensional Model Driven Policy Generation

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