Management of service composition based on self-controlled components

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Chapter 1

Management of service composition based on self-controlled components Tatiana Aubonnet, Ludovic Henrio, Soumia Kessal, Oleksandra Kulankhina, Frédéric Lemoine, Eric Madelaine, Cristian Ruz, Noëmie Simoni

Research

Management of service composition based on self-controlled components

Abstract

Cloud computing and Future Internet promise a new ecosystem where everything is "as a service", reachable and connectable anywhere and anytime, everyone succeeding to get a service composition that meets his needs. But do we have the structure and the appropriate properties to design the service components and do we have the means to manage, at run-time, the personalised compositions corresponding to Service Level Agreement? In this article we introduce an entity of service composition called Self-Controlled Component, including, since the design step, functional and non-functional specifications. Self-Controlled Components benefit both from the strong structure, explicit composition, and autonomic management of component-oriented programming, from the highly dynamic composition, and from the discovery capacities of service-oriented computing. Self-control mechanisms are then attached automatically to Self-Controlled Components to enable autonomic application management during execution. The objective of this new concept is to provide strong Quality of Service guarantees of composed applications. We illustrate the approach using an example called Springoo, to how in the context of a legacy application the contributions and benefits of our solution. For the management of the service composition we propose the concept of Virtual Private Service Network and Virtual Service Community that allows us to model the personalised Service Level Agreement where user requirements and provider offers converge on a Quality of Service contract.

One Introduction

Two Related work

Two point one From component models to service models

Two point two. Autonomic management

Two point three. Positioning

Three. Self-controlled service component

Three point one. Properties

Three point two Membrane structure

Three point two point one Monitoring component (MaaS)

Three point two point two Contract compliance component (QoSControl)

Three point three Interfaces

Four. Modelling/design platform

Four point one. The VerCors modelling tool-set

Four point two. Behaviour specification and verification

Five. Application design with autonomic control

Five point one. Composing SCC components

Five point two. Using non-SCC components

Five point three. Global autonomic control: the MAPE loop

Six. Service composition management

Six point one. Service composition: the VPSN

Six point two. Operational decisions : VSCs and SCCs on the VPSN

Six point two point one. VSC creation

Six point two point two. Dynamic reaction of SCCs on the VPSN

Six point three. Tactical decision: MAPE loop

Six point four. Strategic decision

Seven. The Springoo use-case

Eight. From SCC component to SLA

Eight point one. Approach

Eight point two. Service level objective

Eight point three. Service level agreement

Nine Experiments

Ten Conclusion

Overview

The paper presents a novel approach to service composition that utilizes self-controlled components to enhance quality of service in cloud environments. It focuses on the dynamic adaptation of service components to meet personalized service demands and discusses the implications of service level agreements (SLAs) in this context.

Key Points

1The concept of Self-Controlled Components (SCC) integrates functional and non-functional specifications for effective service composition
2Virtual Private Service Network (VPSN) models personalized service level agreements (SLAs)
3Autonomic management ensures that service compositions adapt dynamically to maintain quality
4The framework allows for automated and personalized service composition with QoS guarantees
5An example application, Springoo, illustrates the practical benefits of this approach.

Details

Authors: Tatiana Aubonnet, Ludovic Henrio, Soumia Kessal, Oleksandra Kulankhina, Frédéric Lemoine, Eric Madelaine, Cristian Ruz, Noëmie Simoni
Category: Technology and Engineering

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