Codé Diop

AODA: an Autonomic and Ontology-Driven Architecture for service-oriented and event-driven systems

The large diversity and heterogeneity of collaborating objects and services in modern networking environments such as personal, vehicular or home networks makes difficult the efficient configuration, deployment and management of composite dynamic systems without a major participation of human actors. This paper proposes an autonomic architecture based on decision models built on ontologies and aimed at self-configuring and self-adapting information networks. Our work follows a top-down approach based on well-known and accepted standards. A detailed structure composite diagram is illustrated to describe AODA modules and show how they interact together. Our proposition had been implemented as an ecosystem-wide ontology aimed at characterising the properties of services and events related to consumers and producers entities participating in the information network. We propose a smart metering use case to compute the overload generated by our solution in handling a large number of objects.

Monitoring solution for autonomic Middleware-level QoS management within IoT systems

Nowadays, the Internet of Things (IoT) paradigm is expanding immensely. It brings ubiquitous intelligence through the interconnection of equipment (sensors, devices, etc.) to the Internet, allowing the birth of a new era of applications in various fields. One of the main challenges to be considered in the IoT is the Quality of Service (QoS) issue. Aiming to support the vision of an autonomic Middleware-level QoS management for IoT systems, this paper proposes and validates a functional architecture of a monitoring component for the detection of QoS degradation. We also demonstrate the benefits that could be gained from simple QoS-oriented adaptation actions dynamically executed to overcome the detected degradations.

AODA: An Autonomic and Ontology-Driven Architecture for Service-Oriented and Event-Driven Systems

The large diversity and heterogeneity of collaborating objects and services in modern networked environments such as personal, vehicular or home networks makes difficult the efficient configuration, deployment and management of composite dynamic systems without a major participation of human actors. This paper proposes an autonomic architecture based on decision models built on ontologies and aimed at self-configuring and self-adapting service-oriented and event-driven distributed systems. Our solution follows a top-down approach based on well-known and accepted standards and implemented as an ecosystem-wide ontology aimed at characterizing the properties of services and events related to consumers and producers entities participating in the autonomic collaborative environment.

Towards autonomic multipath transport for infotainment-like systems

Multi-homed devices are more and more used in the current Internet, and all kinds of multimedia and other real time applications are expected to be distributed between them through different access network (WiFi, UMTS, etc.). To tackle the challenge that consists in providing a sufficient enough QoS to the final mobile users, several attempts have been and are still currently done at the Transport level. One one side, the goal is to define how to make use of the different interfaces available at the device level. On the other side, it is to define how to configure dynamically and autonomously a new generation of multi-path Transport protocols aimed at fitting as best as possible the QoS requirements and the network constraints. Towards this goal, this paper provides contributions aimed at illustrating how the autonomic computing concept may be applied within a multi-path Transport protocol with the aim to provided an as high as possible QoS for infotainment-like video applications distributed between mobiles and multi homed devices. The focus is done on the exploration of a new QoS-aware load balancing mechanism and on the benefits that could be done when the network context changes, by plugging in dynamically into an autonomic multi homed Transport protocol.

A Smart Diagnostic Model for an Autonomic Service Bus Based on a Probabilistic Reasoning Approach

The growing complexity and scale of systems implies challenges to include Autonomic Computing capabilities that help to maintain or improve the performance, availability and reliability characteristics. The autonomic management of a system can be defined deterministically based on experiment observations on the system and possible results of associated plans. However in dynamic environments with changing conditions and requirements, a better technique to diagnose observations and learn about the functioning conditions of the managed system is needed to guide the autonomic management. In the case of medical diagnostic, tests have included statistical and probabilistic models to aid and improve the results and select better medical treatments. In this paper we also adopt a probabilistic approach to define a Bayesian network from monitored data of an Enterprise Service Bus under different workload conditions. This model is used by the Autonomic Service Bus as a knowledge base to diagnose the cause of degradation problems and repair them. Experimental results assess the effectiveness of our approach.

Towards a semantic-driven and scalable publish/subscribe framework

Heterogeneous networks, including personal, home and collaborative enterprise networks are aimed at interconnecting diverse communities of users. In the case of large communities of mobile, distributed and collaborating users sharing their multimedia content, scalable and semantic approaches are needed to facilitate the efficient publication and discovery of data. In this work, we propose an approach aimed at efficiently providing the required functionalities for dynamically managing the resources and the multimedia content of interconnected home networks, as well as providing the required community sharing capabilities. Our solution consists in combining the benefits of both ontologies and peer-to-peer approaches, by taking advantage of the semantic capabilities of ontologies at local domain level and the scalable P2P solutions at inter-domains level. Our proposed framework is founded on a new architecture based on peer-to-peer event-based communication system and using mainly a home box entity based on a global multimedia ontology. This domain ontology allows publishers and subscribers to use a common semantic space to characterise production and consumption of resources and services. Our approach can also be applied for similar large interconnected systems scenarios such as topic discovery with JNDI and service exchange with UDDI.

Towards a semantic and MPTCP-based Autonomic Transport protocol for mobile and multimedia applications

Mobile and multimedia applications are more and more used in the current Internet. For these applications, a set of Transport protocols are proposed aimed at aiding the end-to-end communication. However, to face the challenge of providing a sufficient Quality of Service (QoS) to the final users, a new generation of Transport protocols that takes into account dynamically and autonomously the evolvement of both applications QoS requirements and network context changes is needed. The goal of this paper is to provide contributions aimed at illustrating how the autonomic computing paradigm may be applied to a multi-path Transport protocol called Multipath TCP (MPTCP) in order to provide as much as possible QoS for mobile and multimedia applications. Several QoS-aware mechanisms are proposed and evaluated as well as an ontology-based semantic model for the dynamic discovery of MPTCP mechanisms is also presented.

QoS‐aware and autonomic‐oriented multi‐path TCP extensions for mobile and multimedia applications

Purpose – The goal of this paper is to provide contributions aimed at illustrating how the autonomic computing concept may be applied within a multi‐path transport protocol called multi‐path TCP (MPTCP) with the aim of providing as high as possible a quality of service (QoS) for mobile and multimedia applications.Design/methodology/approach – The papers general vision is to define how to use the general IBM Autonomic framework for the design of a new and generic autonomous transport layer aimed at fitting as best as possible both QoS requirements and network constraints.Findings – Several QoS‐aware mechanisms are proposed and evaluated and an ontology‐based semantic model for the dynamic discovery of MPTCP mechanisms is also presented. This work was done within the A2NETS project funded by the ITEA 2 program, a strategic pan‐European program for advanced pre‐competitive research and development (R&D). A2NETS aims at developing a set of common services for M2M devices communicating within heterogeneous ne...

Towards Autonomic Middleware-Level Management of QoS for IoT Applications

The Internet of Things is expected to bring large and promising spectrum of social goods in various domains. Several new challenges arise or are to be reconsidered within the IoT systems supporting these goods, among them the Quality of Service (QoS) issue. The goal of this paper is first to introduce our approach for an autonomic Middleware-level QoS management of IoT systems. As a contribution at the second maturity level of the autonomic computing paradigm such as defined by IBM, it is then to propose and validate, within an emulation testbed platform, a proof of concept-oriented architecture of a monitoring component allowing detecting QoS degradation symptoms. We also demonstrate the benefits that could be gained from simple network-inspired QoS-oriented adaptation actions.

QoS and scalability management in an autonomic cloud-based networked service bus

Enterprise Service Bus (ESB) allows the integration of pervasive, distributed and networked systems more and more designed as a composition of atomic and heterogeneous services. Offered services have various types of Quality of Service (QoS) that can be unpredictable and may lead to undesirable situations such as service unavailability, high response time, decrease of reliability, etc. These kinds of situation may be unacceptable for service consumers or systems that require a more controllable reliability, efficiency, performance, etc. Being between the service providers and requesters, the goal of this paper is to show how efficient strategies can be associated to the ESB to give it the ability to guarantee or to take into account the satisfaction of non-functional requirements during the service mediation. Using a cloud-based deployment, we will show also how to guarantee the ESB scalability when a large number of concurrent services can be provided and consumed via the ESB.