Towards goal-based autonomic networking

The ability to quickly deploy and efficiently manage services is critical to the telecommunications industry. Currently, services are designed and managed by different teams with expertise over a wide range of concerns, from high-level business to low level network aspects. Not only is this approach expensive in terms of time and resources, but it also has problems to scale up to new outsourcing and/or multi-vendor models, where subsystems and teams belong to different organizations. We endorse the idea, upheld among others in the autonomic computing community, that the network and system components involved in the provision of a service must be crafted to facilitate their management. Furthermore, they should help bridge the gap between network and business concerns. In this paper, we sketch an approach based on early work on the hierarchical organization of autonomic entities that possibly belong to different organizations. An autonomic entity governs over other autonomic entities by defining their goals. Thus, it is up to each autonomic entity to decide its line of actions in order to fulfill its goals, and the governing entity needs not know about the internals of its subordinates. We illustrate the approach with a simple but still rich example of a telecom service

Goal-based service creation using autonomic entities

This paper presents an approach for facilitating the setting-up and management of new multi-organizational telecom services. We are addressing factors that currently impede the development of new complex telecom services. One factor is the gap between high-level business goals and low-level network management policies making it hard for business managers to quickly implement new business ideas. A second factor, due to the trends towards outsourcing and multi-organizational structures, is the increasing complexity of the services which leads to high demands on the management environments. These factors translate into high costs and long time-to-market for the introduction of new complex telecom services. As a suggestion for a solution to these issues, we propose a goal-based approach towards self-management of complex telecom services. In our suggestion lies a new breed of network devices called Autonomic Entities which should be able both to orchestrate services fulfilling given goals, and to refine and combine goals for the purpose of self-management. This paper focuses on how Autonomic Entities can be combined via a goal combining method for the creation of new services. Our approach is illustrated with examples and an application to a scenario

Towards goal-based autonomic networking

The ability to quickly deploy and efficiently manage services is critical to the telecommunications industry. Currently, services are designed and managed by different teams with expertise over a wide range of concerns, from high-level business to low level network aspects. Not only is this approach expensive in terms of time and resources, but it also has problems to scale up to new outsourcing and/or multi-vendor models, where subsystems and teams belong to different organizations. We endorse the idea, upheld among others in the autonomic computing community, that the network and system components involved in the provision of a service must be crafted to facilitate their management. Furthermore, they should help bridge the gap between network and business concerns. In this paper, we sketch an approach based on early work on the hierarchical organization of autonomic entities that possibly belong to different organizations. An autonomic entity governs over other autonomic entities by defining their goals. Thus, it is up to each autonomic entity to decide its line of actions in order to fulfill its goals, and the governing entity needs not know about the internals of its subordinates. We illustrate the approach with a simple but still rich example of a telecom service.GOP

Advancing IoT-Based Smart Irrigation

Integrated Internet of Things (IoT) platforms are needed for realizing IoT potential in commercial-scale applications. The main challenge is to provide solution flexibility to meet custom application needs. We developed an IoT-based platform for smart irrigation, with a flexible architecture to easily connect IoT and machine learning (ML) components to build application solutions. Our architecture enables multiple and customizable analytical approaches to precision irrigation, making room for the improvement of ML approaches. Impacts on different stakeholders can be anticipated, including IoT professionals, by facilitating system deployment, and farmers, by providing cost reduction and safer crop yields. Examples are given based on pilots in Europe and Brazil