Distributed Cloud Gaming Pipeline

Since the rise of Cloud infrastructures and the increased accessibility to platforms capable of playing video games, Gaming as a Service (GaaS) has been growing steadily. The aim in this field is to give the players the possibility to play video games anytime anywhere on any device through a streaming service. A lot of effort is being put in the research of new methods to overcome the limits of current Game Engines, built as monolithic entities, and of the QoS of the streaming. This TFM aims to address the former problem by researching and implementing (a part of) an alternative to the monolithic architecture, focused on splitting the engine into independent services. These would then be able to be distributed along the whole cloud continuum depending on the required QoS

Towards Expressive and Versatile Visualization-as-a-Service (VaaS)

The rapid growth of data in scientific visualization has posed significant challenges to the scalability and availability of interactive visualization tools. These challenges can be largely attributed to the limitations of traditional monolithic applications in handling large datasets and accommodating multiple users or devices. To address these issues, the Visualization-as-a-Service (VaaS) architecture has emerged as a promising solution. VaaS leverages cloud-based visualization capabilities to provide on-demand and cost-effective interactive visualization. Existing VaaS has been simplistic by design with focuses on task-parallelism with single-user-per-device tasks for predetermined visualizations. This dissertation aims to extend the capabilities of VaaS by exploring data-parallel visualization services with multi-device support and hypothesis-driven explorations. By incorporating stateful information and enabling dynamic computation, VaaS\u27 performance and flexibility for various real-world applications is improved. This dissertation explores the history of monolithic and VaaS architectures, the design and implementations of 3 new VaaS applications, and a final exploration of the future of VaaS. This research contributes to the advancement of interactive scientific visualization, addressing the challenges posed by large datasets and remote collaboration scenarios

A Modular and Open-Source Framework for Virtual Reality Visualisation and Interaction in Bioimaging

Life science today involves computational analysis of a large amount and variety of data, such as volumetric data acquired by state-of-the-art microscopes, or mesh data from analysis of such data or simulations. The advent of new imaging technologies, such as lightsheet microscopy, has resulted in the users being confronted with an ever-growing amount of data, with even terabytes of imaging data created within a day. With the possibility of gentler and more high-performance imaging, the spatiotemporal complexity of the model systems or processes of interest is increasing as well. Visualisation is often the first step in making sense of this data, and a crucial part of building and debugging analysis pipelines. It is therefore important that visualisations can be quickly prototyped, as well as developed or embedded into full applications. In order to better judge spatiotemporal relationships, immersive hardware, such as Virtual or Augmented Reality (VR/AR) headsets and associated controllers are becoming invaluable tools. In this work we present scenery, a modular and extensible visualisation framework for the Java VM that can handle mesh and large volumetric data, containing multiple views, timepoints, and color channels. scenery is free and open-source software, works on all major platforms, and uses the Vulkan or OpenGL rendering APIs. We introduce scenery's main features, and discuss its use with VR/AR hardware and in distributed rendering. In addition to the visualisation framework, we present a series of case studies, where scenery can provide tangible benefit in developmental and systems biology: With Bionic Tracking, we demonstrate a new technique for tracking cells in 4D volumetric datasets via tracking eye gaze in a virtual reality headset, with the potential to speed up manual tracking tasks by an order of magnitude. We further introduce ideas to move towards virtual reality-based laser ablation and perform a user study in order to gain insight into performance, acceptance and issues when performing ablation tasks with virtual reality hardware in fast developing specimen. To tame the amount of data originating from state-of-the-art volumetric microscopes, we present ideas how to render the highly-efficient Adaptive Particle Representation, and finally, we present sciview, an ImageJ2/Fiji plugin making the features of scenery available to a wider audience.:Abstract Foreword and Acknowledgements Overview and Contributions Part 1 - Introduction 1 Fluorescence Microscopy 2 Introduction to Visual Processing 3 A Short Introduction to Cross Reality 4 Eye Tracking and Gaze-based Interaction Part 2 - VR and AR for System Biology 5 scenery — VR/AR for Systems Biology 6 Rendering 7 Input Handling and Integration of External Hardware 8 Distributed Rendering 9 Miscellaneous Subsystems 10 Future Development Directions Part III - Case Studies C A S E S T U D I E S 11 Bionic Tracking: Using Eye Tracking for Cell Tracking 12 Towards Interactive Virtual Reality Laser Ablation 13 Rendering the Adaptive Particle Representation 14 sciview — Integrating scenery into ImageJ2 & Fiji Part IV - Conclusion 15 Conclusions and Outlook Backmatter & Appendices A Questionnaire for VR Ablation User Study B Full Correlations in VR Ablation Questionnaire C Questionnaire for Bionic Tracking User Study List of Tables List of Figures Bibliography Selbstständigkeitserklärun

Design and Optimization of Mobile Cloud Computing Systems with Networked Virtual Platforms

A Mobile Cloud Computing (MCC) system is a cloud-based system that is accessed by the users through their own mobile devices. MCC systems are emerging as the product of two technology trends: 1) the migration of personal computing from desktop to mobile devices and 2) the growing integration of large-scale computing environments into cloud systems. Designers are developing a variety of new mobile cloud computing systems. Each of these systems is developed with different goals and under the influence of different design constraints, such as high network latency or limited energy supply. The current MCC systems rely heavily on Computation Offloading, which however incurs new problems such as scalability of the cloud, privacy concerns due to storing personal information on the cloud, and high energy consumption on the cloud data centers. In this dissertation, I address these problems by exploring different options in the distribution of computation across different computing nodes in MCC systems. My thesis is that "the use of design and simulation tools optimized for design space exploration of the MCC systems is the key to optimize the distribution of computation in MCC." For a quantitative analysis of mobile cloud computing systems through design space exploration, I have developed netShip, the first generation of an innovative design and simulation tool, that offers large scalability and heterogeneity support. With this tool system designers and software programmers can efficiently develop, optimize, and validate large-scale, heterogeneous MCC systems. I have enhanced netShip to support the development of ever-evolving MCC applications with a variety of emerging needs including the fast simulation of new devices, e.g., Internet-of-Things devices, and accelerators, e.g., mobile GPUs. Leveraging netShip, I developed three new MCC systems where I applied three variations of a new computation distributing technique, called Reverse Offloading. By more actively leveraging the computational power on mobile devices, the MCC systems can reduce the total execution times, the burden of concentrated computations on the cloud, and the privacy concerns about storing personal information available in the cloud. This approach also creates opportunities for new services by utilizing the information available on the mobile device instead of accessing the cloud. Throughout my research I have enabled the design optimization of mobile applications and cloud-computing platforms. In particular, my design tool for MCC systems becomes a vehicle to optimize not only the performance but also the energy dissipation, an aspect of critical importance for any computing system

Hydra: loosely coupling the graphics pipeline to facilitate digital preservation.

It can be argued that software can be seen as a form of art and digital heritage and yet it rarely enjoys the same efforts afforded to it compared to physical counterparts. There are many reasons for this, such as the increasing costs of maintenance or the reducing amount of expertise in the specific aging technology. Maintaining software and ensuring that it continues to work on current hardware and operating systems is known as digital preservation. There are many ways in which we can attempt to preserve digital software and one of the most effective ones is by using emulation to simulate the obsolete hardware. However, for games and other entertainment media, this technique is not always effective due to a requirement on specific hardware, such as an accelerated GPU in order to reach an acceptable performance for the user. It is often difficult to emulate a GPU and, as such, a different approach often needs to be taken, which reduces the flexibility and portability of the emulation software. Hydra is a new approach to accessing the native hardware from within an emulated environment which allows for a much simpler emulator to be developed and maintained and yet also offers the potential of accessing other types of hardware without needing to modify the emulation software itself. Hydra is designed to be platform agnostic in that not only is it possible to integrate with existing emulators but also be immediately usable from within guest operating systems, ranging from legacy platforms such as MS-DOS, through to modern platforms such as the PlayStation 4 (Orbis OS, a FreeBSD derivative), through to more exotic platforms such as Plan 9 from Bell Laboratories. It can do this because it does not rely on a complex emulator-specific virtual driver stack. This PhD thesis provides the research undertaken for Hydra, including the motivation behind it, the specific problems it was designed to solve and how it can be implemented in a platform agnostic manner. Hydra’s performance is analysed to ascertain the suitability of the output to cater for, specifically, a wide variety of platforms that it can run on in a satisfactory manner within less powerful or emulated environments. A performance analysis study is conducted to ensure that the technology provides an acceptable solution to accessing preserved titles. This study concluded with results showing that Hydra offers a greater performance than software rendering, especially within emulated environments. A bandwidth comparison between Hydra and VNC was undertaken to ascertain the use of the technology as a streaming medium. The results concluded that under specific conditions, Hydra performed better than VNC by streaming at a higher resolution and consuming less bandwidth. Hydra is also utilised in a number of engineering tasks relating to preservation of software. The experiences of using Hydra in this way are discussed, including any difficulties encountered. Lastly, a conclusion is made and any future work is identified

Architectures for ubiquitous 3D on heterogeneous computing platforms

Today, a wide scope for 3D graphics applications exists, including domains such as scientific visualization, 3D-enabled web pages, and entertainment. At the same time, the devices and platforms that run and display the applications are more heterogeneous than ever. Display environments range from mobile devices to desktop systems and ultimately to distributed displays that facilitate collaborative interaction. While the capability of the client devices may vary considerably, the visualization experiences running on them should be consistent. The field of application should dictate how and on what devices users access the application, not the technical requirements to realize the 3D output. The goal of this thesis is to examine the diverse challenges involved in providing consistent and scalable visualization experiences to heterogeneous computing platforms and display setups. While we could not address the myriad of possible use cases, we developed a comprehensive set of rendering architectures in the major domains of scientific and medical visualization, web-based 3D applications, and movie virtual production. To provide the required service quality, performance, and scalability for different client devices and displays, our architectures focus on the efficient utilization and combination of the available client, server, and network resources. We present innovative solutions that incorporate methods for hybrid and distributed rendering as well as means to manage data sets and stream rendering results. We establish the browser as a promising platform for accessible and portable visualization services. We collaborated with experts from the medical field and the movie industry to evaluate the usability of our technology in real-world scenarios. The presented architectures achieve a wide coverage of display and rendering setups and at the same time share major components and concepts. Thus, they build a strong foundation for a unified system that supports a variety of use cases.Heutzutage existiert ein großer Anwendungsbereich für 3D-Grafikapplikationen wie wissenschaftliche Visualisierungen, 3D-Inhalte in Webseiten, und Unterhaltungssoftware. Gleichzeitig sind die Geräte und Plattformen, welche die Anwendungen ausführen und anzeigen, heterogener als je zuvor. Anzeigegeräte reichen von mobilen Geräten zu Desktop-Systemen bis hin zu verteilten Bildschirmumgebungen, die eine kollaborative Anwendung begünstigen. Während die Leistungsfähigkeit der Geräte stark schwanken kann, sollten die dort laufenden Visualisierungen konsistent sein. Das Anwendungsfeld sollte bestimmen, wie und auf welchem Gerät Benutzer auf die Anwendung zugreifen, nicht die technischen Voraussetzungen zur Erzeugung der 3D-Grafik. Das Ziel dieser Thesis ist es, die diversen Herausforderungen zu untersuchen, die bei der Bereitstellung von konsistenten und skalierbaren Visualisierungsanwendungen auf heterogenen Plattformen eine Rolle spielen. Während wir nicht die Vielzahl an möglichen Anwendungsfällen abdecken konnten, haben wir eine repräsentative Auswahl an Rendering-Architekturen in den Kernbereichen wissenschaftliche Visualisierung, web-basierte 3D-Anwendungen, und virtuelle Filmproduktion entwickelt. Um die geforderte Qualität, Leistung, und Skalierbarkeit für verschiedene Client-Geräte und -Anzeigen zu gewährleisten, fokussieren sich unsere Architekturen auf die effiziente Nutzung und Kombination der verfügbaren Client-, Server-, und Netzwerkressourcen. Wir präsentieren innovative Lösungen, die hybrides und verteiltes Rendering als auch das Verwalten der Datensätze und Streaming der 3D-Ausgabe umfassen. Wir etablieren den Web-Browser als vielversprechende Plattform für zugängliche und portierbare Visualisierungsdienste. Um die Verwendbarkeit unserer Technologie in realitätsnahen Szenarien zu testen, haben wir mit Experten aus der Medizin und Filmindustrie zusammengearbeitet. Unsere Architekturen erreichen eine umfassende Abdeckung von Anzeige- und Rendering-Szenarien und teilen sich gleichzeitig wesentliche Komponenten und Konzepte. Sie bilden daher eine starke Grundlage für ein einheitliches System, das eine Vielzahl an Anwendungsfällen unterstützt

Multi-Persona Mobile Computing

Smartphones and tablets are increasingly ubiquitous, and many users rely on multiple mobile devices to accommodate work, personal, and geographic mobility needs. Pervasive access to always-on mobile computing has created new security and privacy concerns for mobile devices that often force users to carry multiple devices to meet those needs. The volume and popularity of mobile devices has commingled hardware and software design, and created tightly vertically integrated platforms that lock users into a single, vendor controlled ecosystem. My thesis is that lightweight mechanisms can be added to commodity operating systems to enable multiple virtual phones or tablets to run at the same time on a physical smartphone or tablet device, and to enable apps from multiple mobile platforms, such as iOS and Android, to run together on the same physical device, all while maintaining the low-latency and responsiveness expected of modern mobile devices. This dissertation presents two lightweight operating systems mechanisms, virtualization and binary compatibility, that enable multi-persona mobile computing. First, we present Cells, a mobile virtualization architecture enabling multiple virtual phones, or personas, to run simultaneously on the same physical cellphone in a secure and isolated manner. Cells introduces device namespaces that allow apps to run in a virtualized environment while still leveraging native devices such as GPUs to provide accelerated graphics. Second, we present Cycada, an operating system compatibility architecture that runs applications built for different mobile ecosystems, iOS and Android, together on a single Android device. Cycada introduces kernel-level code adaptation and diplomats to simplify binary compatibility support by reusing existing operating system code and unmodified frameworks and libraries. Both Cells and Cycada have been implemented in Android, and can run multiple Android virtual phones, and a mix of iOS and Android apps on the same device with good performance. Because mobile computing has become increasingly important, we also present a new way to teach operating systems in a mobile-centric way that incorporates the concepts of geographic mobility, sensor data acquisition, and resource-constrained design considerations

Android on x86

Computer scienc