Orchestrating datacenters and networks to facilitate the telecom cloud

In the Internet of services, information technology (IT) infrastructure providers play a critical role in making the services accessible to end-users. IT infrastructure providers host platforms and services in their datacenters (DCs). The cloud initiative has been accompanied by the introduction of new computing paradigms, such as Infrastructure as a Service (IaaS) and Software as a Service (SaaS), which have dramatically reduced the time and costs required to develop and deploy a service. However, transport networks become crucial to make services accessible to the user and to operate DCs. Transport networks are currently configured with big static fat pipes based on capacity over-provisioning aiming at guaranteeing traffic demand and other parameters committed in Service Level Agreement (SLA) contracts. Notwithstanding, such over-dimensioning adds high operational costs for DC operators and service providers. Therefore, new mechanisms to provide reconfiguration and adaptability of the transport network to reduce the amount of over-provisioned bandwidth are required. Although cloud-ready transport network architecture was introduced to handle the dynamic cloud and network interaction and Elastic Optical Networks (EONs) can facilitate elastic network operations, orchestration between the cloud and the interconnection network is eventually required to coordinate resources in both strata in a coherent manner. In addition, the explosion of Internet Protocol (IP)-based services requiring not only dynamic cloud and network interaction, but also additional service-specific SLA parameters and the expected benefits of Network Functions Virtualization (NFV), open the opportunity to telecom operators to exploit that cloud-ready transport network and their current infrastructure, to efficiently satisfy network requirements from the services. In the telecom cloud, a pay-per-use model can be offered to support services requiring resources from the transport network and its infrastructure. In this thesis, we study connectivity requirements from representative cloud-based services and explore connectivity models, architectures and orchestration schemes to satisfy them aiming at facilitating the telecom cloud. The main objective of this thesis is demonstrating, by means of analytical models and simulation, the viability of orchestrating DCs and networks to facilitate the telecom cloud. To achieve the main goal we first study the connectivity requirements for DC interconnection and services on a number of scenarios that require connectivity from the transport network. Specifically, we focus on studying DC federations, live-TV distribution, and 5G mobile networks. Next, we study different connectivity schemes, algorithms, and architectures aiming at satisfying those connectivity requirements. In particular, we study polling-based models for dynamic inter-DC connectivity and propose a novel notification-based connectivity scheme where inter-DC connectivity can be delegated to the network operator. Additionally, we explore virtual network topology provisioning models to support services that require service-specific SLA parameters on the telecom cloud. Finally, we focus on studying DC and network orchestration to fulfill simultaneously SLA contracts for a set of customers requiring connectivity from the transport network.En la Internet de los servicios, los proveedores de recursos relacionados con tecnologías de la información juegan un papel crítico haciéndolos accesibles a los usuarios como servicios. Dichos proveedores, hospedan plataformas y servicios en centros de datos. La oferta plataformas y servicios en la nube ha introducido nuevos paradigmas de computación tales como ofrecer la infraestructura como servicio, conocido como IaaS de sus siglas en inglés, y el software como servicio, SaaS. La disponibilidad de recursos en la nube, ha contribuido a la reducción de tiempos y costes para desarrollar y desplegar un servicio. Sin embargo, para permitir el acceso de los usuarios a los servicios así como para operar los centros de datos, las redes de transporte resultan imprescindibles. Actualmente, las redes de transporte están configuradas con conexiones estáticas y su capacidad sobredimensionada para garantizar la demanda de tráfico así como los distintos parámetros relacionados con el nivel de servicio acordado. No obstante, debido a que el exceso de capacidad en las conexiones se traduce en un elevado coste tanto para los operadores de los centros de datos como para los proveedores de servicios, son necesarios nuevos mecanismos que permitan adaptar y reconfigurar la red de forma eficiente de acuerdo a las nuevas necesidades de los servicios a los que dan soporte. A pesar de la introducción de arquitecturas que permiten la gestión de redes de transporte y su interacción con los servicios en la nube de forma dinámica, y de la irrupción de las redes ópticas elásticas, la orquestación entre la nube y la red es necesaria para coordinar de forma coherente los recursos en los distintos estratos. Además, la explosión de servicios basados el Protocolo de Internet, IP, que requieren tanto interacción dinámica con la red como parámetros particulares en los niveles de servicio además de los habituales, así como los beneficios que se esperan de la virtualización de funciones de red, representan una oportunidad para los operadores de red para explotar sus recursos y su infraestructura. La nube de operador permite ofrecer recursos del operador de red a los servicios, de forma similar a un sistema basado en pago por uso. En esta Tesis, se estudian requisitos de conectividad de servicios basados en la nube y se exploran modelos de conectividad, arquitecturas y modelos de orquestación que contribuyan a la realización de la nube de operador. El objetivo principal de esta Tesis es demostrar la viabilidad de la orquestación de centros de datos y redes para facilitar la nube de operador, mediante modelos analíticos y simulaciones. Con el fin de cumplir dicho objetivo, primero estudiamos los requisitos de conectividad para la interconexión de centros de datos y servicios en distintos escenarios que requieren conectividad en la red de transporte. En particular, nos centramos en el estudio de escenarios basados en federaciones de centros de datos, distribución de televisión en directo y la evolución de las redes móviles hacia 5G. A continuación, estudiamos distintos modelos de conectividad, algoritmos y arquitecturas para satisfacer los requisitos de conectividad. Estudiamos modelos de conectividad basados en sondeos para la interconexión de centros de datos y proponemos un modelo basado en notificaciones donde la gestión de la conectividad entre centros de datos se delega al operador de red. Estudiamos la provisión de redes virtuales para soportar en la nube de operador servicios que requieren parámetros específicos en los acuerdos de nivel de servicio además de los habituales. Finalmente, nos centramos en el estudio de la orquestación de centros de datos y redes con el objetivo de satisfacer de forma simultánea requisitos para distintos servicios.Postprint (published version

Putting Federalism in Its Place

What does federalism do to welfare states? This question arises in scholarly debates about policy design as well as in discussions about the right political institutions for a country. It has frustrated many, with federalism seeming to matter in all sorts of combinations with all sorts of issues, from nationalism to racism to intergovernmental competition. The diffuse federalism literature has not come to compelling answers for very basic questions. Scott L. Greer, Daniel Béland, André Lecours, and Kenneth A. Dubin argue for a new approach—one methodologically focused on configurations of variables within cases rather than a fruitless attempt to isolate “the” effect of federalism; and one that is substantively engaged with identifying key elements in configurations as well as with when and how their interactions matter. Born out of their work on a multi-year, eleven-country project (published as Federalism and Social Policy: Patterns of Redistribution in Eleven Countries, University of Michigan Press, 2019), this book comprises a methodological and substantive agenda. Methodologically, the authors shift to studies that embraced and understood the complexity within which federal political institutions operate. Substantively, they make an argument for the importance of plurinationalism, changing economic interests, and institutional legacies

Putting Federalism in Its Place

What does federalism do to welfare states? This question arises in scholarly debates about policy design as well as in discussions about the right political institutions for a country. It has frustrated many, with federalism seeming to matter in all sorts of combinations with all sorts of issues, from nationalism to racism to intergovernmental competition. The diffuse federalism literature has not come to compelling answers for very basic questions. Scott L. Greer, Daniel Béland, André Lecours, and Kenneth A. Dubin argue for a new approach—one methodologically focused on configurations of variables within cases rather than a fruitless attempt to isolate “the” effect of federalism; and one that is substantively engaged with identifying key elements in configurations as well as with when and how their interactions matter. Born out of their work on a multi-year, eleven-country project (published as Federalism and Social Policy: Patterns of Redistribution in Eleven Countries, University of Michigan Press, 2019), this book comprises a methodological and substantive agenda. Methodologically, the authors shift to studies that embraced and understood the complexity within which federal political institutions operate. Substantively, they make an argument for the importance of plurinationalism, changing economic interests, and institutional legacies

CAN TRUST BE LEARNED IN HETEROGENEOUS ENVIRONMETNS? AN INTEGRATIVE MODEL OF POLITICAL AND SOCIAL LEARNING THROUGH DEMOCRACY

While the virtues of social capital in democracies are widely recognized, previous studies have repeatedly shown that social capital is in short supply in heterogeneous communities with ethnic minorities. Against the view that levels of social capital are culturally predetermined, I argue that it is possible to generate social capital by carefully formulating political institutions. Drawing from theories of institutional management of ethnic conflict and theories of institutional learning, I construct an integrated theory of social capital which hypothesizes that citizens learn to trust one another based on their experiences with political institutions during an extended period of democratic rule. To test this integrated model of social capital, I use a probit analysis to examine how democratic longevity in different institutional settings (e.g., majoritarian vs. consensus) influences social capital. To overcome the endogeneity problem that exists between social capital and democratic longevity, I adopt an instrumental variables approach, drawing on theories in international relations. My analysis of World Values Survey data yields three main conclusions concerning the institutional arrangements that foster social capital. First, I find that democratic longevity fosters higher levels of trust in countries with consensus institutions containing powersharing arrangements through cabinets, executive-legislative balances, party systems, and electoral systemspresumably because cooperation among different groups enhances social capital. Second, a longer period of democratic rule in highly federal institutions undermines trust, as the devolution of powers through territorial units is thought to fragment the political system and society. Finally, consistent with the theoretical expectations, I find that these two conclusions hold only among ethnic minorities. Among ethnic majorities, the effect of democratic longevity disappears once we purge the endogenous component (i.e., the effect of social capital on democratic longevity), using an instrumental variables approach. Case studies of the Baltic States, the Canadian province of Quebec, and Malaysia corroborated the findings from the statistical analyses. By uncovering a mechanism through which social capital can be generated in multiethnic states, this study makes an important contribution to the literature

Accommodating multinationalism in Russia and Canada: A comparative study of federal design and language policy in Tatarstan and Quebec.

Federal institutional design is widely seen as one of the key forms of the accommodation of multinationalism. This thesis compares the experience of two multinational federations, Russia and Canada, specifically the cases of Tatarstan and Quebec respectively, to test this proposition. In these cases, regional leaders assert that the federal constitutional and institutional framework does not sufficiently address their claims for recognition and jurisdiction. Since the constitution and federal design are themselves disputed, the governance of these claims does not depend only on getting the institutions right. Rather the governance of multinationalism in Russia and Canada depends on the ability of elites to engage in ongoing processes of negotiation and accommodation. To gain more insight into the role of federal design in accommodating multinationalism, the thesis features two policy case studies of the language issue. Language policy constitutes an appropriate and interesting arena to gauge the effectiveness of federal design to provide recognition and jurisdiction, because it is an area on which both federal and regional governments adopt legislation. Policy-makers in both cases believe they possess sufficient autonomy to carry out their objectives; a regime of parallel official languages in Tatarstan and the establishment and protection of the primacy of French in Quebec. Although language policies in Tatarstan and Quebec are examples of effective federalism, the overall constitutional disagreements persist. The thesis finds that attempts to accommodate rather than solve Tatarstan's and Quebec's disagreements may yield better insight into the effectiveness of federal design in creating capacity to manage multinationalism. By engaging in negotiation, elites acknowledge the existence of each others' competing demands. These very processes which in Quebec and Tatarstan have often appeared in an ad hoc manner in turn structure and institutionalise federal-regional relations. These ongoing processes of negotiation provide a means to overcome the constitutional conflict and prevent constitutional deadlock

Differential TCR signaling dynamics tune graded gene expression in early-activating CD8+ T cells

The strength of peptide:MHC interactions with the T cell receptor (TCR) is correlated with the time to first cell division, the relative scale of the effector cell response, and the graded expression of activation-induced proteins. The TCR proximal tyrosine kinase ITK simultaneously influences many biochemically separate signaling cascades. T cells lacking ITK exhibit selective impairments in effector T cell responses after activation, but under the strongest signaling conditions ITK activity is dispensable. To gain insight into whether TCR signal strength and ITK activity tune observed graded gene expression through unequal activation of disparate signaling pathways, I examined NFAT, NF-κB and MAP kinase pathways during early activation of individual naïve OT-I CD8+ T cells using peptide-loaded antigen presenting cells. Utilizing both measurement of transcription factor translocation in single T cell nuclei and conventional phospho-flow cytometry, I observed digital activation of Erk-MAPK and NFAT1 at all peptide doses and avidities. However, NF-κB activation showed a graded response to variation in TCR signal strength and was more sensitive to treatment with an ITK inhibitor. Inhibitor-treated cells showed poor induction of AP-1 factors Fos and Fosb, NF-κB response gene transcripts, and survival factor Il2 transcripts. ATAC-seq analysis revealed genomic regions most sensitive to ITK inhibition are enriched for NF-κB and AP-1 motifs. Together, these data indicate a key role for ITK in orchestrating optimal activation of separate TCR downstream pathways, specifically aiding NF-κB activation. More broadly, I describe a mechanism by which variation in TCR signal strength can produce patterns of graded gene expression in activated T cells

Some economic benefits of a synchronous earth observatory satellite

An analysis was made of the economic benefits which might be derived from reduced forecasting errors made possible by data obtained from a synchronous satellite system which can collect earth observation and meteorological data continuously and on demand. User costs directly associated with achieving benefits are included. In the analysis, benefits were evaluated which might be obtained as a result of improved thunderstorm forecasting, frost warning, and grain harvest forecasting capabilities. The anticipated system capabilities were used to arrive at realistic estimates of system performance on which to base the benefit analysis. Emphasis was placed on the benefits which result from system forecasting accuracies. Benefits from improved thunderstorm forecasts are indicated for the construction, air transportation, and agricultural industries. The effects of improved frost warning capability on the citrus crop are determined. The benefits from improved grain forecasting capability are evaluated in terms of both U.S. benefits resulting from domestic grain distribution and U.S. benefits from international grain distribution

Making Effective Maps: Cartographic Design for GIS

Maps are a graphic representation of the earth, showing the spatial relationship of the earth&rsquo;s featureswhether cultural or physical. Central to this representation is reducing the earth&rsquo;s features of interestto a manageable size (i.e., map scale) and its transformation into a functional two-dimensional form(i.e., map projection). As all maps are visual representations of selected phenomena, a cartographermust consider the key concepts that make a map a map: it is a scaled, selective, symbolized, andabstracted graphical representation of the phenomenon [4] [5]. Scaled: Scaled refers to the fact that almost all maps are more useful when they are reproduced at asmaller scale than the actual phenomenon being mapped. For example, a road map of Idaho thatwhen unfolded is the actual size of Idaho, is not very useful to us, so instead, we reduce the size ofthe spatial phenomenon being represented onto a more reasonably sized piece of paper [5]. Selective: Selective means that maps should only include items that are directly related to themessage of the map. For instance, a map designated to show where all the hospitals are locatedwithin a city should not include the location of every manhole cover in the city. The reason being, thelocation of the manhole covers is irrelevant to the locations of the hospitals, and therefore it would bea meaningless feature on the map and likely detrimental to achieving the map&rsquo;s purpose [5]. Symbolized: Symbolized, refers to the idea of extracting the item being mapped by using arepresentative symbol. Examples of representative symbols would be a star with a circle around itthat represents a state capital, or a symbol of the front of a bus that represents a bus stop [5].Abstracted: Decisions about how to classify, simplify, or exaggerate features and how to symbolizeobjects of interest simultaneously fall under the realms of art and science. Moving from the real worldto the world of maps is map abstraction. This process involves making choices about how torepresent features. Regarding geographic information systems (GIS), we must be explicit, consistent,and precise in defining and describing geographical features of interest [4]</p