Titulo Estágio
Resource Usage Forecast
Local do Estágio
Departamento de Engenharia Informática da Universidade de Coimbra
Enquadramento
Telecom operators require ecosystems to manage and provide components, applications, services and digital solution. It is paramount for a competitive operator to have access to the tools to quickly launch integrated Policy and Charging offers to combine the optimisation of the network resources to answer users demands while maximising service monetisation. In the case of Altice, the NGIN-CCP solution delivers the pillars to create differentiating and innovative services by optimising the use of data network resources, acting as a critical enabler to monetise the specificities of the telecommunications data market, shortening the time-to-market through an integrated offer management portal, answering to continuous growth by working on top of a modular and scalable architecture. AlticeLabs, over the past two decades, has developed and evolved a solution for real-time control and charging of telecommunications services, which started to be called NGIN - Next Generation Intelligent Network. It is a highly flexible Monetization, and Policy Control solution with a concurrent approach applied to any communication service type and any service provider from the smallest to the largest. The NGIN brand continues to stand out with a new perspective of policy and convergent charging - NGIN-CCP - which allows the solution to be applied to or to solve operator's problems related with: Promoting Data Monetization, Delivering QoE Improvement, Supporting NGN and IoT, Enabling OTT Partnerships. NGIN-CCP is aimed at telecom operators that monetise and improve QoE to their wireless (mobile xG, WiFi, WiMax) and/or wireline (FTTH, xDSL, cable) data networks. It is also suited for monetising voice and messaging services, thus enabling a full fix-mobile convergence. NGIN-CCP is an ever-evolving product that is now adapting and updating to the new 5G network technologies.
NGIN-CCP comprises the following main functionalities: Policy control, Online & Offline Charging, Replenishment Management, Voucher Management, Convergent AS, Product Lifecycle Management, Order Orchestration, Operations & Maintenance, Reporting, Customer & Service Representative, Self-Management, Notifications. For the scope of the proposal, Policy Control, Online & Offline Charging, Reporting, Operations & Maintenance are key modules since it provides the necessary information to manage resources of the NGIN-CCP. Reporting module gives access to a dashboard tool that provides various information on operational metrics analysis and control, Key Performance Indicators management tools. Operations & Maintenance provides information on logical and physical units available to deploy and overall operational metrics. Policy Control, Online & Offline Charging, both provide business information and network and data policy management. One of the areas of interest for the NGIN-CCP is the resource management and optimisation of its resources based on current data plans and future monetized services alterations or acquisitions. For instance, predicting the impact of new client and plans acquisitions or changes on NGIN-CPP resources, i.e. existing network plan that is serving the clients, estimating the limit of specific NGIN-CPP components that could eventually be reaching its limits. Since these predictions can help to be pre-emptive to adjust resources and not compromise the experience of all clients, Altice Labs, with the collaboration of the University of Coimbra, is interested in adding a module for resource usage forecast for the NGIN-CCP framework. The dataset to execute the proposal will be a sample of past data gathered from NGIN-CCP modules available from Altice Labs that is categorized as time-series tabular data with information on NGIN-CCP resources and status of operations, with categorical and numerical attributes (discrete and continuous variables).
Objetivo
Application of data science techniques to a dataset with information on resources and create models for forecasting its usage at a given point in time. The solution must be executable under the NGINCCP framework of operations.
Plano de Trabalhos - Semestre 1
T1 – State of the art on data analyses, forecast and regression models
T2 - Data preparation and analysis
T3 – Study of proof of concepts and use cases suitable for the NGINCCP
T4 - Proposal of a framework and requirements specification
T5 – Writing of the Intermediary report
Plano de Trabalhos - Semestre 2
T1 – Implementation
T2 – Experimentation and validation
T3 - Adjustments to the implementation
T4 – Writing the final report
Condições
The work will be conducted in the Cognitive and Media Systems (CMS) and Evolutionary and Complex Systems (ECOS) group from CISUC.
There is a possibility of the student being awarded a scholarship (Bolsa de Investigação para Licenciado) for at least 6 months, renewable for an equal period by agreement between the advisor and the intern. The scholarship will follow the Fundação para a Ciência e Tecnologia (FCT) monthly stipend guidelines.
Orientador
João Correia / Penousal Machado
jncor@dei.uc.pt 📩