MOSES: A Platform for Experimenting with QoS-Driven Self-Adaptation Policies for Service Oriented Systems

Cardellini, Valeria; Casalicchio, Emiliano; Grassi, Vincenzo; Iannucci, Stefano; Presti, Francesco Lo; Mirandola, Raffaela

doi:10.1007/978-3-319-74183-3_14

Cited by 9 publications

(5 citation statements)

References 32 publications

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“…The main challenges found in the studies analyzed related to the design of frameworks for Self‐Apps are identified and discussed in this section. In terms of Self‐Apps, the fact that these applications have become emergent rather than traditional ones, since the need of adaptation at runtime is considered the primary challenge, initially impacting the complexity of developing these applications and tools, as well as the approaches and frameworks used to develop them 12,13,21 . Such a process becomes even more complex when a semantic standard is not adopted in an environment that is constantly changing, as we identified in our discussion of quality attributes.…”

Section: S‐frame: a Modular Framework To Design Self‐appsmentioning

confidence: 99%

“…The development of Self‐Apps can be considered a nontrivial, costly, and error‐prone activity when performed manually. In this sense, some initiatives found in the literature 12‐16 have revealed that the use of frameworks are considered a feasible alternative to support the development of these applications. These initiatives have emerged from a variety of research communities, and address specific issues in the context of Self‐Apps.…”

Section: Introductionmentioning

confidence: 99%

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Design of frameworks for self‐adaptive service‐oriented applications: A systematic analysis

et al. 2021

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Self‐adaptive service‐oriented Applications (Self‐Apps) must be able to understand themselves or the environment in which they are executed, and propose solutions to meet changing conditions. The development of these applications is not a trivial task, since it encompasses issues from different research areas. Despite the importance of frameworks for Self‐Apps, there is a lack of comprehensive analysis of how the design of such applications is performed, and regarding the standardization of concepts and coverage of minimum requirements for Self‐Apps. The main contribution of this article is to present this comprehensive analysis, providing the state of the art for this subject. This analysis was built through a Systematic Mapping Study, based on a total of 65 studies, from which we identify the main attributes for Quality of Service (QoS), search strategies, and service management strategies employed in the design of frameworks for Self‐Apps. The main aspects of requirements involved in the design of Self‐Apps were pointed out to stakeholders. For example, these applications must implement a method for evaluation of QoS based on metrics. We also put forward the S‐Frame, a modular solution that brings together the main features for the design of Self‐Apps, and describe the main challenges concerning these applications.

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Section: S‐frame: a Modular Framework To Design Self‐appsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of frameworks for self‐adaptive service‐oriented applications: A systematic analysis

et al. 2021

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“…We therefore studied Service oriented Architecture (SoA) adaptation solutions reviewed in (Mutanu and Kotonya, 2018). These solutions commonly include network QoS parameters in the criteria for selecting the optimal service location (Cardellini et al, 2017) (Aschoff and Zisman, 2011). These solutions use different strategies for adapting the composition, which try to avoid Service Level Agreement (SLA) violations, either by predicting such problems or reacting to detected violations.…”

Section: Related Workmentioning

confidence: 99%

QoS-aware Autonomic Adaptation of Microservices Placement on Edge Devices

Stevant

Pazat

Blanc

2020

Proceedings of the 10th International Conference on Cloud Computing and Services Science

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Given the widespread availability of cheap computing and storage devices, as well as the increasing popularity of high speed network connections (e.g., Fiber To The Home (FTTH)), it is feasible for groups of users to share their own resources to build a service hosting platform. In such use-case, the response-time of the service is critical for the quality of experience. We describe a solution to optimize the response-time in the case of an application based on microservices. This solution leverages the flexibility of microservices to dynamically adapt the placement of the application workloads on edge devices. We validate this solution on a production edge infrastructure and discuss possible strategies for the decision rules.

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“…Even though the OSGi service can provide ubiquitous connectivity to distributed devices, it requires Java virtual machines which cannot be deployed on IoT devices because of their limited resources. Service‐oriented self‐adaptation framework based on imperative technologies such as business process execution language (BPEL) has also been proposed [35]. However, declarative approaches are not appropriate when IoT applications because they lack maintainability and scalability.…”

Section: Related Work and Contextmentioning

confidence: 99%

Smart and safe self‐adaption of connected devices based on discrete controllers

2019

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The Internet-of-things, which designates the interconnection of physical objects, is a growing research area with many challenges. One of these challenges is the management of failures and unforeseen situations when using connected devices in real world applications. To this end, the authors propose a self-adaptation framework to deal with changes and take into account storage, computational and communication constraints. Their self-adaptation framework relies on constraints expressed in terms of quality of service (QoS) and event-driven rules to specify control objectives. Internally, the framework generates labelled transitions systems and builds on the fly synchronous controllers to guarantee QoS properties. Moreover, their framework has capabilities to concurrently deal with dynamic control objectives, monitoring and self-adaptation. To prove the practicality of their framework, they present a healthcare case-study to remotely monitor a patient at risk of myocardial infarction recurrence. The objective control rules easily specify how wearable devices should coordinate their behaviours to ensure safety, resilience and health-awareness factors. The implementation of their framework is fully distributed and scalable and include their development of a wearable, remotely configurable, QoS aware cardiac activity sensor.

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MOSES: A Platform for Experimenting with QoS-Driven Self-Adaptation Policies for Service Oriented Systems

Cited by 9 publications

References 32 publications

Design of frameworks for self‐adaptive service‐oriented applications: A systematic analysis

Design of frameworks for self‐adaptive service‐oriented applications: A systematic analysis

QoS-aware Autonomic Adaptation of Microservices Placement on Edge Devices

Smart and safe self‐adaption of connected devices based on discrete controllers

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