System of Systems to provide Quality of Service monitoring, management and response in cloud computing environments

Hershey, Paul; Rao, Shrisha; Silio, C.B.; Narayan, Akshay

doi:10.1109/sysose.2012.6384208

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…While monitoring is evidently required in SoSs to timely detect errors, the mobility and loosely coupled interoperability of such mobile SoSs exacerbate some of the widely known monitoring challenges [42]. The monitor is expected to observe services resulting from emergent behavior of the SoS.…”

Section: B Resilient Monitoringmentioning

confidence: 99%

System-of-Systems to Support Mobile Safety Critical Applications: Open Challenges and Viable Solutions

Bondavalli

Ceccarelli

Lollini

et al. 2018

IEEE Systems Journal

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Abstract-A dramatic shift in system complexity is occurring, bringing monolithic system designs to be progressively replaced by modular approaches. In the latest years this trend has been emphasized by the System of Systems (SoS) concept, in which a complex system or application is the result of the integration of many independent, autonomous Constituent Systems (CS), brought together in order to satisfy a global goal under certain rules of engagement. The overall behavior of the SoS, emerging from such complex interactions and dependencies, poses several threats in terms of dependability, timeliness and security, due to the challenging operating and environmental conditions caused by mobility, wireless connectivity, and the use of off-the-shelf components. Referring to our experience in mobile safety-critical applications gained from three different research projects, in this paper we illustrate the challenges and benefits posed by the adoption of an SoS approach in designing, developing and maintaining mobile safety-critical applications, and we report on some possible solutions.

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Section: B Resilient Monitoringmentioning

confidence: 99%

System-of-Systems to Support Mobile Safety Critical Applications: Open Challenges and Viable Solutions

Bondavalli

Ceccarelli

Lollini

et al. 2018

IEEE Systems Journal

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“…P. Hoenisch et al . associate Business Process Management System with cloud resources allocation and elastic process execution for cloud management, this approach can automatically lease and release Cloud resources for workflow executions based on knowledge about the current and future process landscape and implement the self‐adaptive resource allocation for elastic process execution in the Cloud. In order to improve the utilization of finite resources, lower the cost of electrical power consumption and provide high QoS for customers, Zhang Chen and Cao Jian model the resource management process as a sequential decision problem and apply the grey model to forecast the future demands.…”

Section: Related Workmentioning

confidence: 99%

“…A. J. Younge et al [38] present a new framework that provides efficient green enhancements within a scalable Cloud computing architecture; and to improve overall system efficiency in a data center-based Cloud, they use poweraware scheduling techniques, variable resource management, live migration, and a minimal virtual machine design. P. Hoenisch et al [39] associate Business Process Management System with cloud resources allocation and elastic process execution for cloud management, this approach can automatically lease and release Cloud resources for workflow executions based on knowledge about the current and future process landscape and implement the self-adaptive resource allocation for elastic process execution in the Cloud. In order to improve the utilization of finite resources, lower the cost of electrical power consumption and provide high QoS for customers, Zhang Chen and Cao Jian [40] model the resource management process as a sequential decision problem and apply the grey model to forecast the future demands.…”

Section: Related Workmentioning

confidence: 99%

Cross‐clouds services autonomic management approach based on self‐organizing multi‐agent technology

Hou

Mao

2016

Concurrency and Computation

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SUMMARYWith the rapid development and application of cloud computing, there exist plenty of clouds that are distributed on the open Internet, decentralized in the management, evolving with various services providing diverse functionalities and QoS. Moreover, because of the potential correlativity of cloud services and the dynamic of tenants' requirements, these services in multiple clouds are expected to be effectively managed in an autonomic and transparent way so that tenants can obtain continuous and efficient services. To this end, this paper proposes an approach based on self-organizing multi-agent system to achieving crossclouds services management, including the service provision at the tenant-end and services aggregation at the cloud-end. In this approach, the clouds services are managed by a series of autonomous agents that are capable of autonomously accessing managed services. They can interact with each other to obtain macro-level services aggregation in terms of self-organization to adapt to the changes of both tenants' requirements and cloud services. The paper details the architecture, mechanisms, and algorithms to implement the aggregation and provision of services in cross-clouds. We also develop relevant crossclouds services management platform called as CCloudMan, with which several experiments based on the public data sets have been conducted and the experimental results show the efficiency and usability of our proposed approach.

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“…Cuando la calidad de servicio no cumple lo que se pactó en los acuerdos de nivel de servicio, se disparan alarmas vía correo electrónico para cada una de las partes. Hershey et al (2012) presentan un enfoque orientado a los proveedores de servicios en la nube, que les permita satisfacer los acuerdos de niveles de servicio pactados con los clientes, para esto definen el rendimiento en función de tres métricas: latencia, variación de las latencias y la cantidad de trabajo realizado en un período de tiempo. La seguridad está definida en función de tres métricas: autenticación, autorización-certificación y acreditación.…”

Section: Atributos De Calidad Del Serviciounclassified

Revisión de la Problemática de la Calidad del Software para el Desarrollo de Aplicaciones de Computación en la Nube

Alarcón

Londoño

2016

Inf. tecnol.

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El objetivo de este trabajo es apoyar los procesos de investigación y el desarrollo de aplicaciones en la nube con calidad de software aceptable. Se presenta la caracterización de los trabajos realizados entre los años de 2010 y 2014, utilizando como metodología la selección de fuentes primarias de alto impacto y la revisión exhaustiva y crítica de las fuentes bibliográficas encontradas. Se seleccionaron 206 trabajos, los cuales fueron clasificados en 8 áreas. El área de interés de este estudio es la calidad, y por tal motivo se realizó una clasificación que permitió encontrar 5 subcategorías: calidad del servicio, calidad en el proceso de desarrollo, calidad computación móvil en la nube, calidad de los datos y calidad de la experiencia. Se concluye que la calidad de los datos y la privacidad de los mismos siguen y seguirán siendo un tema crítico en los niveles de calidad de servicio. Palabras clave: computación en la nube; calidad de software; servicios de software; arquitectura.

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System of Systems to provide Quality of Service monitoring, management and response in cloud computing environments

Cited by 8 publications

References 10 publications

System-of-Systems to Support Mobile Safety Critical Applications: Open Challenges and Viable Solutions

System-of-Systems to Support Mobile Safety Critical Applications: Open Challenges and Viable Solutions

Cross‐clouds services autonomic management approach based on self‐organizing multi‐agent technology

Revisión de la Problemática de la Calidad del Software para el Desarrollo de Aplicaciones de Computación en la Nube

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