Synchronization of Multiple Autonomic Control Loops: Application to Cloud Computing

Oliveira, Frederico Alvares de; Sharrock, Rémi; Ledoux, Thomas

doi:10.1007/978-3-642-30829-1_3

Cited by 15 publications

(16 citation statements)

References 12 publications

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“…Also, we are implementing a real IaaS AM on top of OpenStack 5 and evaluating it 6 . For future work, we plan to tackle issues related to the coordination of many inter-related AMs, which may cause problems of conicting actions and other synchronization issues that come with (Alvares de Oliveira et al, 2012). Finally, we plan also to provide full Domain Specic-Language (DSLs) (van Deursen et al, 2000) and tooling support allowing Administrators for a clearer, easier and more expressive description of XaaS models.…”

Section: Discussionmentioning

confidence: 99%

Towards a Generic Autonomic Model to Manage Cloud Services

Lejeune¹,

Alvares

Ledoux

2017

Proceedings of the 7th International Conference on Cloud Computing and Services Science

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Abstract:Autonomic Computing has recently contributed to the development of self-manageable Cloud services. It provides means to free Cloud administrators of the burden of manually managing varyingdemand services while enforcing Service Level Agreements (SLAs). However, designing Autonomic Managers (AMs) that take into account services' runtime properties so as to provide SLA guarantees without the proper tooling support may quickly become a non-trivial, fastidious and errorprone task as systems size grows. In fact, in order to achieve well-tuned AMs, administrators need to take into consideration the specicities of each managed service as well as its dependencies on underlying services (e.g., a Sofware-as-a-Service that depends on a Platform/Infrastructureas-a-Service). We advocate that Cloud services, regardless of the layer, may share the same consumer/provider-based abstract model. From that model we can derive a unique and generic AM that can be used to manage any XaaS service dened with that model. This paper proposes such an abstract (although extensible) model along with a generic constraint-based AM that reasons on abstract concepts, service dependencies as well as SLA constraints in order to nd the optimal conguration for the modeled XaaS. The genericity of our approach are showed and discussed through two motivating examples and a qualitative experiment has been carried out in order to show the approache's applicability as well as to point out and discuss its limitations.

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Section: Discussionmentioning

confidence: 99%

Towards a Generic Autonomic Model to Manage Cloud Services

Lejeune¹,

Alvares

Ledoux

2017

Proceedings of the 7th International Conference on Cloud Computing and Services Science

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“…The formal approach of verifying feedback loop interaction is further refined by Iglesia et al [84] and Iftikhar et al [103] towards an offline and online verification of the modeled feedback loop interaction. In the context of specific solutions for multiple feedback loop interactions, Alvares de Oliveira et al [15] present a specific synchronization protocol and show its applicability in a cloud computing environment. Moreover, Malek et al [131] present an approach that solves the redeployment problem of feedback loops and Sykes et al [164] show an application of a distributed self-assembly scenario.…”

Section: State Of the Artmentioning

confidence: 99%

“…Therefore, a knowledge derivation is detected in the Deurema model, which is marked with the KnowledgeDerivation annotation shown in Figure 6. 15. Additionally, a knowledge transition occurs between two causal dependent adaptation steps, where the former modifies the runtime model and the latter reads the updated information.…”

Section: Combining Knowledge and Causalitymentioning

confidence: 99%

“…Looking more precisely in the self-adaptation context that emphasize the use of the MAPE feedback loop approach, Alvares de Oliveira et al [15] propose one generic synchronization protocol to coordinate different feedback loops by means of knowledge sharing and apply it to an application example in the cloud computing domain. This paper extends the MAPE approach by considering distribution (R-05) and coordination aspects (R-14), which arise by using multiple feedback loops.…”

Section: Domain Specific Approaches For Adaptive Systemsmentioning

confidence: 99%

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Modeling Collaborations in Adaptive Systems of Systems

Wätzoldt

Giese

2015

Proceedings of the 2015 European Conference on Software Architecture Workshops

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Recently, due to an increasing demand on functionality and flexibility, beforehand isolated systems have become interconnected to gain powerful adaptive System of Systems (SoS) solutions with an overall robust, flexible and emergent behavior. The adaptive SoS comprises a variety of different system types ranging from small embedded to adaptive cyber-physical systems. On the one hand, each system is independent, follows a local strategy and optimizes its behavior to reach its goals. On the other hand, systems must cooperate with each other to enrich the overall functionality to jointly perform on the SoS level reaching global goals, which cannot be satisfied by one system alone. Due to difficulties of local and global behavior optimizations conflicts may arise between systems that have to be solved by the adaptive SoS.This thesis proposes a modeling language that facilitates the description of an adaptive SoS by considering the adaptation capabilities in form of feedback loops as first class entities. Moreover, this thesis adopts the Models@runtime approach to integrate the available knowledge in the systems as runtime models into the modeled adaptation logic. Furthermore, the modeling language focuses on the description of system interactions within the adaptive SoS to reason about individual system functionality and how it emerges via collaborations to an overall joint SoS behavior. Therefore, the modeling language approach enables the specification of local adaptive system behavior, the integration of knowledge in form of runtime models and the joint interactions via collaboration to place the available adaptive behavior in an overall layered, adaptive SoS architecture.Beside the modeling language, this thesis proposes analysis rules to investigate the modeled adaptive SoS, which enables the detection of architectural patterns as well as design flaws and pinpoints to possible system threats. Moreover, a simulation framework is presented, which allows the direct execution of the modeled SoS architecture. Therefore, the analysis rules and the simulation framework can be used to verify the interplay between systems as well as the modeled adaptation effects within the SoS. This thesis realizes the proposed concepts of the modeling language by mapping them to a state of the art standard from the automotive domain and thus, showing their applicability to actual systems. Finally, the modeling language approach is evaluated by remodeling up to date research scenarios from different domains, which demonstrates that the modeling language concepts are powerful enough to cope with a broad range of existing research problems.-I - Zusammenfassung

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“…Some works propose extensions of the MAPE-K framework in order to allow for synchronization [23], which can be e.g., through the access to a common knowledge [2]. A distinctive aspect of our approach is to rely on explicit automatabased behavioral models, amenable to formal techniques like verification or the more constructive DCS.…”

Section: Related Workmentioning

confidence: 99%

Modular coordination of multiple autonomic managers

Delaval

Gueye

Rutten

et al. 2014

Proceedings of the 17th International ACM Sigsoft Symposium on Component-Based Software Engineering

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Complex computing systems are increasingly self-adaptive, with an autonomic computing approach for their administration. Real systems require the co-existence of multiple autonomic management loops, each complex to design. However their uncoordinated co-existence leads to performance degradation and possibly to inconsistency. There is a need for methodological supports facilitating the coordination of multiple autonomic managers. In this paper we propose a method focusing on the discrete control of the interactions of managers. We follow a component-based approach and explore modular discrete control, allowing to break down the combinatorial complexity inherent to the state-space exploration technique. This improves scalability of the approach and allows constructing a hierarchical control. It also allows re-using complex managers in different contexts without modifying their control specifications. We build a component-based coordination of managers, with introspection, adaptivity and reconfiguration. We validate our method on a multiple-loop multi-tier system.

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Synchronization of Multiple Autonomic Control Loops: Application to Cloud Computing

Cited by 15 publications

References 12 publications

Towards a Generic Autonomic Model to Manage Cloud Services

Towards a Generic Autonomic Model to Manage Cloud Services

Modeling Collaborations in Adaptive Systems of Systems

Modular coordination of multiple autonomic managers

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