Energy efficiency and climate policy in the management of public spaces: public lighting

Public Lightning is an important part of municipality’s nighttime landscape. Lighting can be used to enhance public safety and security while improving the aesthetic appeal of the surrounding properties but with the current global financial crisis, such lighting systems must also be sustainable. Most climate policy efforts focus on the state and international level, however national governments won’t be able to meet their international commitments without local action. In Portugal, the Public Lighting is responsible for 3% of energy consumption. The problem is that the trend is to increase (about 4-5% per year) which represents very high costs for the municipal authorities. In terms of numbers are analyzed in this thesis 45 of 278 existent in Continental Portugal what represents only 16,2 % of the counties. This where the local authorities in Portugal that had a Sustainable Energy Action Plan (SEAP) that had been accepted and made available in the Covenant of Mayors website until the end of year 2013. It is important that the Covenant of Mayors will increase the local authorities awareness for energy efficiency and especially to public lighting because there is still a long way to go in terms of energy consumption reduction. In future works it would be interesting to see the payback of the EolGreen post in a real scenario due to lack of energy consumption from the grid it would allow to have a pretty high initial investment even with the maintenance that those technologies need.

Development of an innovative non rule-based energy management strategy for a Hybrid Electric Vehicle, structured for predictive driving controls based on external information knowledge

Recently, the interest of the automotive market for hybrid vehicles has increased due to the more restrictive pollutants emissions legislation and to the necessity of decreasing the fossil fuel consumption, since such solution allows a consistent improvement of the vehicle global efficiency. The term hybridization regards the energy flow in the powertrain of a vehicle: a standard vehicle has, usually, only one energy source and one energy tank; instead, a hybrid vehicle has at least two energy sources. In most cases, the prime mover is an internal combustion engine (ICE) while the auxiliary energy source can be mechanical, electrical, pneumatic or hydraulic. It is expected from the control unit of a hybrid vehicle the use of the ICE in high efficiency working zones and to shut it down when it is more convenient, while using the EMG at partial loads and as a fast torque response during transients. However, the battery state of charge may represent a limitation for such a strategy. That’s the reason why, in most cases, energy management strategies are based on the State Of Charge, or SOC, control. Several studies have been conducted on this topic and many different approaches have been illustrated. The purpose of this dissertation is to develop an online (usable on-board) control strategy in which the operating modes are defined using an instantaneous optimization method that minimizes the equivalent fuel consumption of a hybrid electric vehicle. The equivalent fuel consumption is calculated by taking into account the total energy used by the hybrid powertrain during the propulsion phases. The first section presents the hybrid vehicles characteristics. The second chapter describes the global model, with a particular focus on the energy management strategies usable for the supervisory control of such a powertrain. The third chapter shows the performance of the implemented controller on a NEDC cycle compared with the one obtained with the original control strategy.

Uma aplicação de gestão de redes baseada no paradigma dos agentes móveis

A massificação da utilização das tecnologias de informação e da Internet para os mais variados fins, e nas mais diversas áreas, criou problemas de gestão das infra-estruturas de informática, ímpares até ao momento. A gestão de redes informáticas converteu-se num factor vital para uma rede a operar de forma eficiente, produtiva e lucrativa. No entanto, a maioria dos sistemas são baseados no Simple Network Management Protocol (SNMP), assente no modelo cliente-servidor e com um paradigma centralizado. Desta forma subsiste sempre um servidor central que colecta e analisa dados provenientes dos diferentes elementos dispersos pela rede. Sendo que os dados de gestão estão armazenados em bases de dados de gestão ou Management Information Bases (MIB’s) localizadas nos diversos elementos da rede. O actual modelo de gestão baseado no SNMP não tem conseguido dar a resposta exigida. Pelo que, existe a necessidade de se estudar e utilizar novos paradigmas de maneira a que se possa encontrar uma nova abordagem capaz de aumentar a fiabilidade e a performance da gestão de redes. Neste trabalho pretende-se discutir os problemas existentes na abordagem tradicional de gestão de redes, procurando demonstrar a utilidade e as vantagens da utilização de uma abordagem baseada em Agentes móveis. Paralelamente, propõe-se uma arquitectura baseada em Agentes móveis para um sistema de gestão a utilizar num caso real.

Formal validation of automated policy refinement in the management of network security systems

Policy hierarchies and automated policy refinement are powerful approaches to simplify administration of security services in complex network environments. A crucial issue for the practical use of these approaches is to ensure the validity of the policy hierarchy, i.e. since the policy sets for the lower levels are automatically derived from the abstract policies (defined by the modeller), we must be sure that the derived policies uphold the high-level ones. This paper builds upon previous work on Model-based Management, particularly on the Diagram of Abstract Subsystems approach, and goes further to propose a formal validation approach for the policy hierarchies yielded by the automated policy refinement process. We establish general validation conditions for a multi-layered policy model, i.e. necessary and sufficient conditions that a policy hierarchy must satisfy so that the lower-level policy sets are valid refinements of the higher-level policies according to the criteria of consistency and completeness. Relying upon the validation conditions and upon axioms about the model representativeness, two theorems are proved to ensure compliance between the resulting system behaviour and the abstract policies that are modelled.

Modelos de avaliação da qualidade do atendimento na prestação de serviços públicos: aplicação da metodologia de scoping review à tomada de decisão com base na evidência (evidence-based management), na Administração Pública.

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Lobbying as a Part of Business Management

Lobbying by companies and the management techniques of lobbying have been fairly unknown territory. This study explains different theories related to lobbying including major political, economic and mathematical theories and their connections to lobbying. Existing lobbying networks in the European Union, especially at the European Union level, are explained. Lobbying organisations in the European Union are interconnected. Networks start at a local level, and have connections to national, European Union, international and sometimes to the global level. Relationships between business strategy and lobbying are studied with emphasis on issues management. Business strategy is often seen stemming from business environment analysis and stakeholder management. The issues management concept bridges aspects of business environment analysis and stakeholder management into a project type of management approach. The study includes two different empirical parts. A sample of public policy managers representing the European chemical industry was interviewed, and a chemical industry specific lobbying framework was built. This framework was then tested using a questionnaire sent to European public issues managers representing some of the largest European companies. Based on the results of the questionnaire, a generic framework on how large, European companies manage lobbying in general terms was developed.

Service Management in IP Networks

IP-verkoissa tarjottavat palvelut ovat lisääntyneet, on tullut uusia kanavia, jotka tarjoavat IP-pohjaisia palveluja. Internet-palvelujen tarjonta on tullut mukaan kaapelitelevisio- ja matkapuhelinverkkoihin. Lisääntynyt palvelujen tarjonta ja kysyntä ovat lisänneet palvelujen hallinnan merkitystä. IP-verkoissa on ilmennyt turvallisuuteen, skaalattavuuteen ja palvelun laatuun liittyviä ongelmia. Palvelun laadun tärkeys painottuu reaaliaikaisuutta ja suurta kapasiteettia vaativissa sovelluksissa. Tulevaisuudessa IP-liikenteen on ennustettu kasvavan yli satakertaiseksi nykyisestä tasosta kolmen vuoden kuluessa. Tämän vuoksi on kehitetty uusi verkon ja palvelun hallintamenetelmiä, joista tässä työssä on tutkittu sääntöpohjaista verkon hallintaa.

Performance Management of a Next Generation Network

Today's communication networks consist of numerous interdependent network components. To manage these networks and to ensure their reliable and efficient operation to meet the increasing customer usability demands, extensive network management tools are required from the service provider. The goal of this study was to adapt the Next Generation Network (NGN) providing VoIP services within a performance oriented network management system. This study focuses only on NGN network and the project was implemented as an assignment of the Network Operations Center of Elisa Corporation. The theoretical part of this study introduces the network environment of the Elisa NGN platform: its components and used signalling protocols as well as other exploitable communication protocols. In addition, the Simple Network Management Protocol (SNMP) is closely examined since it is commonly used as the basis of IP (Internet Protocol) network management. Also some primary applications enabled by the NGN technology are introduced. The empirical part of this study contains a short overview of the implemented network performance management system and its properties. The most crucial monitored MIB modules, SNMP parameters and implemented performance measurements are described. The trap topology and the role of the traps for management of the NGN platform are considered and finally, the conclusion based on the several disquisitions is made supported with suggestions for future improvements.

Dynamic management and restoration of virtual paths in broadband networks based on distributed software agents

La gestió de xarxes és un camp molt ampli i inclou molts aspectes diferents. Aquesta tesi doctoral està centrada en la gestió dels recursos en les xarxes de banda ampla que disposin de mecanismes per fer reserves de recursos, com per exemple Asynchronous Transfer Mode (ATM) o Multi-Protocol Label Switching (MPLS). Es poden establir xarxes lògiques utilitzant els Virtual Paths (VP) d'ATM o els Label Switched Paths (LSP) de MPLS, als que anomenem genèricament camins lògics. Els usuaris de la xarxa utilitzen doncs aquests camins lògics, que poden tenir recursos assignats, per establir les seves comunicacions. A més, els camins lògics són molt flexibles i les seves característiques es poden canviar dinàmicament. Aquest treball, se centra, en particular, en la gestió dinàmica d'aquesta xarxa lògica per tal de maximitzar-ne el rendiment i adaptar-la a les connexions ofertes. En aquest escenari, hi ha diversos mecanismes que poden afectar i modificar les característiques dels camins lògics (ample de banda, ruta, etc.). Aquests mecanismes inclouen els de balanceig de la càrrega (reassignació d'ample de banda i reencaminament) i els de restauració de fallades (ús de camins lògics de backup). Aquests dos mecanismes poden modificar la xarxa lògica i gestionar els recursos (ample de banda) dels enllaços físics. Per tant, existeix la necessitat de coordinar aquests mecanismes per evitar possibles interferències. La gestió de recursos convencional que fa ús de la xarxa lògica, recalcula periòdicament (per exemple cada hora o cada dia) tota la xarxa lògica d'una forma centralitzada. Això introdueix el problema que els reajustaments de la xarxa lògica no es realitzen en el moment en què realment hi ha problemes. D'altra banda també introdueix la necessitat de mantenir una visió centralitzada de tota la xarxa. En aquesta tesi, es proposa una arquitectura distribuïda basada en un sistema multi agent. L'objectiu principal d'aquesta arquitectura és realitzar de forma conjunta i coordinada la gestió de recursos a nivell de xarxa lògica, integrant els mecanismes de reajustament d'ample de banda amb els mecanismes de restauració preplanejada, inclosa la gestió de l'ample de banda reservada per a la restauració. Es proposa que aquesta gestió es porti a terme d'una forma contínua, no periòdica, actuant quan es detecta el problema (quan un camí lògic està congestionat, o sigui, quan està rebutjant peticions de connexió dels usuaris perquè està saturat) i d'una forma completament distribuïda, o sigui, sense mantenir una visió global de la xarxa. Així doncs, l'arquitectura proposada realitza petits rearranjaments a la xarxa lògica adaptant-la d'una forma contínua a la demanda dels usuaris. L'arquitectura proposada també té en consideració altres objectius com l'escalabilitat, la modularitat, la robustesa, la flexibilitat i la simplicitat. El sistema multi agent proposat està estructurat en dues capes d'agents: els agents de monitorització (M) i els de rendiment (P). Aquests agents estan situats en els diferents nodes de la xarxa: hi ha un agent P i diversos agents M a cada node; aquests últims subordinats als P. Per tant l'arquitectura proposada es pot veure com una jerarquia d'agents. Cada agent és responsable de monitoritzar i controlar els recursos als que està assignat. S'han realitzat diferents experiments utilitzant un simulador distribuït a nivell de connexió proposat per nosaltres mateixos. Els resultats mostren que l'arquitectura proposada és capaç de realitzar les tasques assignades de detecció de la congestió, reassignació dinàmica d'ample de banda i reencaminament d'una forma coordinada amb els mecanismes de restauració preplanejada i gestió de l'ample de banda reservat per la restauració. L'arquitectura distribuïda ofereix una escalabilitat i robustesa acceptables gràcies a la seva flexibilitat i modularitat.

Conceptualisation of an application of adaptive synthetic socioeconomic agents for intelligent network control

The deployment of Quality of Service (QoS) techniques involves careful analysis of area including: those business requirements; corporate strategy; and technical implementation process, which can lead to conflict or contradiction between those goals of various user groups involved in that policy definition. In addition long-term change management provides a challenge as these implementations typically require a high-skill set and experience level, which expose organisations to effects such as “hyperthymestria” [1] and “The Seven Sins of Memory”, defined by Schacter and discussed further within this paper. It is proposed that, given the information embedded within the packets of IP traffic, an opportunity exists to augment the traffic management with a machine-learning agent-based mechanism. This paper describes the process by which current policies are defined and that research required to support the development of an application which enables adaptive intelligent Quality of Service controls to augment or replace those policy-based mechanisms currently in use.

EXAM-S: an Analysis tool for Multi-Domain Policy Sets

As distributed collaborative applications and architectures are adopting policy based management for tasks such as access control, network security and data privacy, the management and consolidation of a large number of policies is becoming a crucial component of such policy based systems. In large-scale distributed collaborative applications like web services, there is the need of analyzing policy interactions and integrating policies. In this thesis, we propose and implement EXAM-S, a comprehensive environment for policy analysis and management, which can be used to perform a variety of functions such as policy property analyses, policy similarity analysis, policy integration etc. As part of this environment, we have proposed and implemented new techniques for the analysis of policies that rely on a deep study of state of the art techniques. Moreover, we propose an approach for solving heterogeneity problems that usually arise when considering the analysis of policies belonging to different domains. Our work focuses on analysis of access control policies written in the dialect of XACML (Extensible Access Control Markup Language). We consider XACML policies because XACML is a rich language which can represent many policies of interest to real world applications and is gaining widespread adoption in the industry.

Sustainable Management of the Great Artesian Basin: An Analysis Based on Law and Environmental Economics

Current policy issues surrounding management of the Great Artesian Basin - historical development of existing legislation and institutions - hydrological and historical background information - development of concerns over unsustainable use of resources and possible adverse environmental impacts - recent developments associated with the general reforms to water law and policy initiated by the Council of Australian Governments (COAG) - comparison of issues surrounding the Murray-Darling Basin and the Great Artesian Basin.

BUILDING EFFICIENT AND COST-EFFECTIVE CLOUD-BASED BIG DATA MANAGEMENT SYSTEMS

In today’s big data world, data is being produced in massive volumes, at great velocity and from a variety of different sources such as mobile devices, sensors, a plethora of small devices hooked to the internet (Internet of Things), social networks, communication networks and many others. Interactive querying and large-scale analytics are being increasingly used to derive value out of this big data. A large portion of this data is being stored and processed in the Cloud due the several advantages provided by the Cloud such as scalability, elasticity, availability, low cost of ownership and the overall economies of scale. There is thus, a growing need for large-scale cloud-based data management systems that can support real-time ingest, storage and processing of large volumes of heterogeneous data. However, in the pay-as-you-go Cloud environment, the cost of analytics can grow linearly with the time and resources required. Reducing the cost of data analytics in the Cloud thus remains a primary challenge. In my dissertation research, I have focused on building efficient and cost-effective cloud-based data management systems for different application domains that are predominant in cloud computing environments. In the first part of my dissertation, I address the problem of reducing the cost of transactional workloads on relational databases to support database-as-a-service in the Cloud. The primary challenges in supporting such workloads include choosing how to partition the data across a large number of machines, minimizing the number of distributed transactions, providing high data availability, and tolerating failures gracefully. I have designed, built and evaluated SWORD, an end-to-end scalable online transaction processing system, that utilizes workload-aware data placement and replication to minimize the number of distributed transactions that incorporates a suite of novel techniques to significantly reduce the overheads incurred both during the initial placement of data, and during query execution at runtime. In the second part of my dissertation, I focus on sampling-based progressive analytics as a means to reduce the cost of data analytics in the relational domain. Sampling has been traditionally used by data scientists to get progressive answers to complex analytical tasks over large volumes of data. Typically, this involves manually extracting samples of increasing data size (progressive samples) for exploratory querying. This provides the data scientists with user control, repeatable semantics, and result provenance. However, such solutions result in tedious workflows that preclude the reuse of work across samples. On the other hand, existing approximate query processing systems report early results, but do not offer the above benefits for complex ad-hoc queries. I propose a new progressive data-parallel computation framework, NOW!, that provides support for progressive analytics over big data. In particular, NOW! enables progressive relational (SQL) query support in the Cloud using unique progress semantics that allow efficient and deterministic query processing over samples providing meaningful early results and provenance to data scientists. NOW! enables the provision of early results using significantly fewer resources thereby enabling a substantial reduction in the cost incurred during such analytics. Finally, I propose NSCALE, a system for efficient and cost-effective complex analytics on large-scale graph-structured data in the Cloud. The system is based on the key observation that a wide range of complex analysis tasks over graph data require processing and reasoning about a large number of multi-hop neighborhoods or subgraphs in the graph; examples include ego network analysis, motif counting in biological networks, finding social circles in social networks, personalized recommendations, link prediction, etc. These tasks are not well served by existing vertex-centric graph processing frameworks whose computation and execution models limit the user program to directly access the state of a single vertex, resulting in high execution overheads. Further, the lack of support for extracting the relevant portions of the graph that are of interest to an analysis task and loading it onto distributed memory leads to poor scalability. NSCALE allows users to write programs at the level of neighborhoods or subgraphs rather than at the level of vertices, and to declaratively specify the subgraphs of interest. It enables the efficient distributed execution of these neighborhood-centric complex analysis tasks over largescale graphs, while minimizing resource consumption and communication cost, thereby substantially reducing the overall cost of graph data analytics in the Cloud. The results of our extensive experimental evaluation of these prototypes with several real-world data sets and applications validate the effectiveness of our techniques which provide orders-of-magnitude reductions in the overheads of distributed data querying and analysis in the Cloud.

Programa Bolsa Fam??lia: descentraliza????o, centraliza????o ou gest??o em redes?

O artigo analisa o processo de implementa????o e o modelo de gest??o do Programa Bolsa Fam??lia (PBF), no cerne do debate de centraliza????o-descentraliza????o. A hip??tese do estudo ?? que o PBF n??o apenas caminhou para o fortalecimento da descentraliza????o, superando alguns desafios da consolida????o do ???pacto federativo???, como tamb??m construiu uma configura????o mais complexa, pr??xima ?? gest??o em redes. Para tanto, ?? apresentada uma discuss??o te??rica acerca do federalismo, da descentraliza????o das pol??ticas sociais e do conceito de redes de pol??ticas p??blicas. Em seguida, s??o discernidos os princ??pios que fundamentaram a concep????o do programa, bem como as principais estrat??gias de implementa????o. Como conclus??o, argumenta-se que apesar de ainda persistirem desafios ?? gest??o compartilhada, a implementa????o do PBF se pautou n??o apenas no princ??pio da descentraliza????o, como tamb??m na transpar??ncia, controle e participa????o popular.