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Containerization has gained popularity for deploying applications in a lightweight environment. Kubernetes and Docker have gained a lot of dominance for scalable deployments of applications in containers. Usually, kubernetes clusters are deployed within a single shared network. For high availability of the application, multiple kubernetes clusters are deployed in multiple regions, due to which the number of kubernetes clusters keeps on increasing over time. Maintaining and managing mul-tiple kubernetes clusters is a challenging and time-consuming process for system administrators or DevOps engineers. These issues can be addressed by deploying a kubernetes cluster in a multi-region environment. A multi-region kubernetes de-ployment reduces the hassle of handling multiple kubernetes masters by having onlyone master with worker nodes spread across multiple regions. In this thesis, we investigated a multi-region kubernetes cluster’s network performance by deploying a multi-region kubernetes cluster with worker nodes across multiple openstack regions and tunneled using wireguard(a VPN protocol). A literature review on the common factors that influence the network performance in a multi-region deployment is conducted for the network performance metrics. Then, we compared the request-response time of this multi-region kubernetes cluster with the regular kubernetes cluster to evaluate the performance of the deployed multi-region kubernetescluster. The results obtained show that a kubernetes cluster with worker nodes ina single shared network has an average request-response time of 2ms. In contrast, the kubernetes cluster with worker nodes in different openstack projects and regions has an average request-response time of 14.804 ms. This thesis aims to provide a performance comparison of the kubernetes cluster with and without wireguard, fac-tors affecting the performance, and an in-depth understanding of concepts related to kubernetes and wireguard.

In the spring of 2023, Kungliga Operan in Stockholm, Sweden premiered their production of Stephen Sondheim's famous musical Sweeney Todd: The Demon Barber of Fleet Street. This study aims to analyze this production in regards to Mattias Fhyr's definition of the Gothic. It analyzes what gothic signs and themes are recognizable in the Kungliga Operan production of the musical and how they manifest on stage. The study applies the qualitative method of performance analysis, which uses a combination of semiotics and hermeneutics to analyze live performances. Semiotics is also used as the theoretical foundation of this essay. Fhyr's definition specifies that a gothic text depicts subjective worlds, that lack higher order and is characterized by an atmosphere of decay, destruction, and irresolvability, and that it contains labyrinthine qualities. Earlier research also shows that the Gothic can be found in almost all media, including theater. This study illustrates how this performance of Sweeney Todd contains and expresses the above mentioned themes. It also discusses the gothic genre's relationship with opera and comedy and how they are relevant in the performance. It explores the characters monstrous depictions, and examines different familial relations and themes in the musical, characteristic of the gothic genre. The study concludes that the Gothic can be found in the musical's set design and fictional locations, in the mood and atmosphere mostly created by the score, in the characters and their actions, as well as in the story itself.

Lifetime Engineering (or Life Cycle Engineering) is a technical approach for meeting the current objective of sustainable development. The approach is aimed to turn today’s reactive and short-term design, management and maintenance planning towards an optimised and long-term technical approach. The life cycle based management and maintenance planning approach includes condition assessment, predictive modelling of performance changes, maintenance, repair and refurbishment planning and decisions. The Life Cycle Management System (LMS) is a predictive and generic life cycle based management system aimed to support all types of decision making and planning of optimal maintenance, repair and refurbishment activities of any constructed works. The system takes into account a number of aspects in sustainable and conscious development such as human requirements, life cycle economy, life cycle ecology and cultural requirements. The LMS is a system by which the complete system or parts thereof, works in co-operation or as a complement to existing business support systems. The system is module based where each module represents a subprocess within the maintenance management process. The scope of this thesis is focused on development and adaptation of the predictive characteristic of LMS towards a presumptive user. The objective is to develop and adapt a Service Life Performance Analysis module applicable for condition based Facility Management System in general and for condition based Bridge Management System in particular. Emphasis is placed on development and adaptation of a conditional probability based Service Life Performance Analysis model in which degradation models and Markov chains play a decisive role. The thesis deals also with development and adaptation of environmental exposure data recording and processing, with special emphasis on quantitative environmental classification in order to provide a simplified method of Service Life Performance Analysis. / QC 20101130

”Blessed be those without pretense”: A hermeneutic-semiotic analysis of the institutionally produced storytelling theatre of Västerbotten is a bachelor thesis in Performance Studies. The study aims to examine and define the aesthetic and commonly occurring themes of the institutionally produced storytelling theatre of Västerbotten, and to discuss the representation of the citizens of Västerbotten on stage, which ideals and characteristics are desirable and which are not. The theoretical framework of this study is supported by ethnological and sociological theories about storytelling and the method used is performance analysis based on semiotics and hermeneutics. Seven performances between the years 1998-2021 are deconstructed and analyzed. The results show several reoccurring and common features of the storytelling theatre of Västerbotten, such as the shifting between the storyteller's present moment and the time period of the story, the important role music plays in the telling of the story and the common setting of the farming societies of the turn of the 19th to the 20th century. Other reoccurring themes are those of Christianity, socialism, food, farm animals, and squalor. The ideal characteristics identified were honesty, integrity, and a good work ethic. There is an ambition for cultural preservation present within the genre and a lack of representation of minorities.

In present road traffic system, drone-network based traffic monitoring using the Internet of Vehicles (IoVs) is a promising solution. However, camera-based traffic monitoring does not collect complete data, cover all areas, provide quick medical services, or take vehicle follow-ups in case of an incident. Drone-based system helps to derive important information (such as commuter's behavior, traffic patterns, vehicle follow-ups) and sends this information to centralized or distributed authorities for making traffic diversions or necessary decisions as per laws. The present approaches fail to meet the requirements such as (i) collision free, (ii) drone navigation, and (iii) less computational and communicational overheads. This work has considered the collision-free drone-based movement strategies for road traffic monitoring using Software Defined Networking (SDN). The SDN controllable drone network results in lesser overhead over drones and provide efficient drone-device management. In simulation, two case studies are simulated using JaamSim simulator. Results show that the zones-based strategy covers a large area in few hours and consume 5 kWs to 25 kWs energy for 150 drones (Case study 1). Zone-less based strategies (case study-2) show that the energy consumption lies between 5 kWs to 18 kWs for 150 drones. Further, the use of SDN-based drones controller reduces the overhead over drone-network and increases the area coverage with a minimum of 1.2% and maximum of 2.6%. Simulation (using AnyLogic simulator) shows the 3D view of successful implementation of collision free strategies.

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Free-space optical communication (FSO) has been proposed as an attractive alternative to radio frequency communication in the sense that it provides wide bandwidth and high capacity without requirement of license. However, the scalability of FSO link is limited by pointing error, atmospheric turbulence, and loss. Especially, when it comes to the FSO link between moving platforms, it is imperative works to analyze the statistical channel model considering accurate pointing errors and atmospheric turbulence at the same time. In this paper, we analyze performance of FSO links over various atmospheric situations with pointing errors. First, we assume strong turbulence and obtain a unified approximation of the composite probability density function (PDF) of channel gain, which embraces generalized pointing error models. This approximation leads to new unified formulas for the bit error rate (BER) and outage capacity of a FSO link, which account for the two possible detection mechanisms of intensity modulation/direct detection (IM/DD) and heterodyne detection. Secondly, we statistically derive the unified composite PDF containing all possible pointing error models based on weak turbulence model. In addition, we analyze BER performance in FSO communication with IM/DD and heterodyne detection technology based on the derived unified composite PDF results. Finally, we investigate the ergodic capacity of unmanned aerial vehicle (UAV)-based FSO links over random foggy channel. More specifically, we derive composite PDF and close approximation for the moments of the composite PDF using the statistical model of a UAV-based 3D pointing error and a random foggy channel. With it, we obtain upper bound and asymptotic approximation of the ergodic capacity for the two possible detection techniques of IM/DD and heterodyne detection at high and low signal-to-noise ratio (SNR) regimes.

In present road traffic system, drone-network based traffic monitoring using the Internet of Vehicles (IoVs) is a promising solution. However, camera-based traffic monitoring does not collect complete data, cover all areas, provide quick medical services, or take vehicle follow-ups in case of an incident. Drone-based system helps to derive important information (such as commuter's behavior, traffic patterns, vehicle follow-ups) and sends this information to centralized or distributed authorities for making traffic diversions or necessary decisions as per laws. The present approaches fail to meet the requirements such as (i) collision free, (ii) drone navigation, and (iii) less computational and communicational overheads. This work has considered the collision-free drone-based movement strategies for road traffic monitoring using Software Defined Networking (SDN). The SDN controllable drone network results in lesser overhead over drones and provide efficient drone-device management. In simulation, two case studies are simulated using JaamSim simulator. Results show that the zones-based strategy covers a large area in few hours and consume 5 kWs to 25 kWs energy for 150 drones (Case study 1). Zone-less based strategies (case study-2) show that the energy consumption lies between 5 kWs to 18 kWs for 150 drones. Further, the use of SDN-based drones controller reduces the overhead over drone-network and increases the area coverage with a minimum of 1.2% and maximum of 2.6%. Simulation (using AnyLogic simulator) shows the 3D view of successful implementation of collision free strategies.