Honoring SLAs on cloud computing services: A control perspective

Yfoulis, Christos; Gounaris, Anastasios

doi:10.23919/ecc.2009.7074401

Cited by 20 publications

(15 citation statements)

References 36 publications

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“…Yfoulis and Gounaris [16] briefly investigated the control theoretical perspective in cloud computing context with a focus on SLA management. More relevant however, brief discussions on the use and suitability of feedback controllers for performance management in larger context of cloud computing domain is carried out in [17].…”

Section: Adaptability Using Control Theorymentioning

confidence: 99%

A control theoretical view of cloud elasticity: taxonomy, survey and challenges

Ullah

Shen

et al. 2018

Cluster Comput

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The lucrative features of cloud computing such as pay-as-you-go pricing model and dynamic resource provisioning (elasticity) attract clients to host their applications over the cloud to save up-front capital expenditure and to reduce the operational cost of the system. However, the efficient management of hired computational resources is a challenging task. Over the last decade, researchers and practitioners made use of various techniques to propose new methods to address cloud elasticity. Amongst many such techniques, control theory emerges as one of the popular methods to implement elasticity. A plethora of research has been undertaken on cloud elasticity including several review papers that summarise various aspects of elasticity. However, the scope of the existing review articles is broad and focused mostly on the highlevel view of the overall research works rather than on the specific details of a particular implementation technique. While considering the importance, suitability and abundance of control theoretical approaches, this paper is a step forward towards a stand-alone review of control theoretic aspects of cloud elasticity. This paper provides a detailed taxonomy comprising of relevant attributes defining the following two perspectives, i.e., control-theory as an implementation technique as well as cloud elasticity as a target application domain. We carry out an exhaustive review of the literature by classifying the existing elasticity solutions using the attributes of control theoretic perspective. The summarized results are further presented by clustering them with respect to the type of control solutions, thus helping in comparison of the related control solutions. In last, a discussion summarizing the pros and cons of each type of control solutions are presented. This discussion is followed by the detail description of various open research challenges in the field.

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Section: Adaptability Using Control Theorymentioning

confidence: 99%

A control theoretical view of cloud elasticity: taxonomy, survey and challenges

Ullah

Shen

et al. 2018

Cluster Comput

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“…Though Cloud Computing is highly studied and a large body of work has been done trying to define and envision the boundaries of this new area, despite business-orientation, the applicability of Service-level agreements in the Cloud middleware is rarely studied, yet [23]. The envisioned framework in [7] proposes a solution to extend the web service model by introducing and using semantic web services.…”

Section: Related Workmentioning

confidence: 99%

“…Thus, there is demand for the development of SLA-aware Cloud middleware, and application of appropriate strategies for autonomic SLA attainment. Despite cloud computing's business-orientation, the applicability of Service-level agreements in the Cloud middleware is rarely studied, yet [23]. Most of the existing work address provision of SLA guarantees to the consumer and not necessarily the SLA-based management of loosely coupled Cloud infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Autonomic SLA-Aware Service Virtualization for Distributed Systems

Kertész

Kecskeméti

Brandić

2011

2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing

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Abstract-Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business processes and virtualization. Managing such heterogeneous environments requires sophisticated interoperation of adaptive coordinating components. In this paper we introduce an SLA-aware Service Virtualization architecture that provides non-functional guarantees in the form of Service Level Agreements and consists of a threelayered infrastructure including agreement negotiation, service brokering and on demand deployment. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are used with a failure propagation approach. We demonstrate the advantages of our proposed solution with a biochemical case study in a Cloud simulation environment.

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“…Thus, there is demand for the development of SLA-aware Cloud middleware, and application of appropriate strategies for autonomic SLA attainment. Despite business-orientation, the applicability of Service-level agreements in the Cloud field is rarely studied, yet [41]. Most of the existing works address provision of SLA guarantees to the consumer and not necessarily the SLA-based management of loosely coupled Cloud infrastructure.…”

Section: Introductionmentioning

confidence: 99%

An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments

Kertész

Kecskeméti

Brandić

2014

Future Generation Computer Systems

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Cloud computing is a newly emerged computing infrastructure that builds on the latest achievements of diverse research areas, such as Grid computing, Service-oriented computing, business process management and virtualization. An important characteristic of Cloud-based services is the provision of non-functional guarantees in the form of Service Level Agreements (SLAs), such as guarantees on execution time or price. However, due to system malfunctions, changing workload conditions, hard-and software failures, established SLAs can be violated. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are needed. In this paper we present a self-manageable architecture for SLA-based service virtualization that provides a way to ease interoperable service executions in a diverse, heterogeneous, distributed and virtualized world of services. We demonstrate in the paper that the combination of negotiation, brokering and deployment using SLA-aware extensions and autonomic computing principles are required for achieving reliable and efficient service operation in distributed environments.

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Honoring SLAs on cloud computing services: A control perspective

Cited by 20 publications

References 36 publications

A control theoretical view of cloud elasticity: taxonomy, survey and challenges

A control theoretical view of cloud elasticity: taxonomy, survey and challenges

Autonomic SLA-Aware Service Virtualization for Distributed Systems

An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments

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