Towards an Enactment Engine for Dynamically Reconfigurable and Scalable Choreographies

Furtado, Thiago; Francesquini, Emílio; Lago, Nelson; Kon, Fábio

doi:10.1109/services.2014.64

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Secondly, we use a proactive approach, which considers the service demand imposed by choreography clients, together with the capacity and QoS requirements of the services in a end-to-end manner prior to the actual choreography enactment, thus avoiding excessive QoS violations while still allowing runtime adaptation if needed. This is in contrast with reactive approaches, such as in [5] and [4], which start with a initial (default) resource configuration and adapt it as QoS violations are detected. Thirdly, as introduced in previous work [6], resource allocation at the middleware level takes into account the possibility of intermittent connectivity of services, thus contributing to make the approach feasible for service choreographies that involve mobile services and IoT devices.…”

Section: Introductionmentioning

confidence: 99%

Cross-layer QoS-Aware Resource Allocation for IoT-Enabled Service Choreographies

Costa

Georgantas

Gomes

et al. 2018

Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things

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Resource allocation for distributed systems is a well-known approach to deal with quality of service requirements. However, existing approaches do not consider the effects of resource allocation at the different levels of a system, especially when considering the end-to-end behavior of distributed compositions such as service choreographies. Based on our previous research on the optimized and QoS-aware resource allocation for service choreographies and publish-subscribe brokers, we outline a novel approach that integrates the treatment of resource allocation at both levels in order to yield a more precise control over end-to-end QoS. The paper presents an early architecture and discusses some of the main challenges towards realizing the approach.

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Section: Introductionmentioning

confidence: 99%

Cross-layer QoS-Aware Resource Allocation for IoT-Enabled Service Choreographies

Costa

Georgantas

Gomes

et al. 2018

Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things

View full text Add to dashboard Cite

show abstract

“…As a significant improvement to the previous version of our work [6], in this paper we present a middleware to support reflective choreographies that are capable of dynamic reasoning and adaptation to the changing environmental parameters to keep the QoS within the specified SLAs. To evaluate the effectiveness of our approach, we performed an experimental evaluation in which we analyze SLA violations when we apply vertical and horizontal scaling approaches to a choreography deployment.…”

Section: Introductionmentioning

confidence: 99%

A middleware for reflective web service choreographies on the cloud

Furtado

Francesquini

Lago

et al. 2014

Proceedings of the 13th Workshop on Adaptive and Reflective Middleware

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Web service composition is a commonly used solution to build distributed systems on the cloud. Choreographies are one specific kind of service composition in which the responsibilities for the execution of the system are shared by its service components without a central point of coordination. Due to the distributed nature of these systems, a manual approach to resource usage monitoring and allocation to maintain the expected Quality of Service (QoS) is not only inefficient but also does not scale. In this paper, we present an open source choreography enactment middleware that is capable of automatically deploying and executing a composition. Additionally, it also monitors the composition execution to perform automatic resource provisioning and dynamic service reconfiguration based on pre-defined Service Level Agreement (SLA) constraints. To achieve that, it keeps a meta-level representation of the compositions, which contains their specifications, deployment statuses, and QoS attributes. Application developers can write specific rules that take into account these meta-data to reason about the performance of the composition and change its behavior. Our middleware was evaluated on Amazon EC2 and our results demonstrate that, with little effort from the choreography developer or deployer, the middleware is able to maintain the established SLA using both horizontal and vertical scaling when faced with varying levels of load. Additionally, it also reduces operational costs by using as little computational resources as possible.

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Towards an Enactment Engine for Dynamically Reconfigurable and Scalable Choreographies

Cited by 2 publications

References 16 publications

Cross-layer QoS-Aware Resource Allocation for IoT-Enabled Service Choreographies

Cross-layer QoS-Aware Resource Allocation for IoT-Enabled Service Choreographies

A middleware for reflective web service choreographies on the cloud

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