Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 25 for “"cloud applications"”.
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Performant and Resilient Service Composition for Modern Cloud Applications
Modern cloud applications are often distributed systems composed from vendor-provided building blocks (e.g., object storage services, container orchestration services). Consequently, distributed fault-tolerance is a central concern for application correctness. Although each building block may offer …
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Development of a Remote Laboratory with the Integration of Cloud Applications
… to data outside of the lab. The integration of cloud applications with access to social media is a unique feature of this research and the key to improved accessibility. Students were asked to participate in a study in which they compared the traditional lab procedure to the procedure utilizing …
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A PROGRAMMING FRAMEWORK TO EASE DEVELOPMENT OF TIGHTLY-COUPLED CLOUD APPLICATIONS
Cloud application development is currently for professionals only. To make the cloud more accessible, cloud applications should ideally be easy to develop so that virtually anyone can develop their own cloud applications. However, they are difficult to develop, because they are essentially …
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A flexible fine-grained adaptive framework for parallel mobile hybrid cloud applications
… content and functionality. At the same time, applications are also becoming more complex and require ever increasing amount of computational power and energy. With cloud computing providing unlimited elastic on-demand resources, supporting mobile devices with cloud allows overcoming …
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Topology-aware distributed graph processing for tightly-coupled clusters
Cloud applications have burgeoned over the last few years, but they are typically written for loosely-coupled clusters such as datacenters. In this thesis we investigate how one can run cloud applications in tightly-coupled clusters and network topologies, namely super-computers. Specifically, we …
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User-centric cloud application management
The accelerated growth in cloud computing technologies in the past decade has empowered a wide spectrum of cloud services, and this has originated a big challenge for cloud users, specifically for Infrastructure-as-a-Service (IaaS) users who find it difficult to choose a particular Virtual Machine …
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Resource management for Edge computing systems
Current computing techniques using the Cloud as a centralised server will become untenable as billions of devices get connected to the Internet. This will lead to the degradation of the Quality-of-Service (QoS) of Cloud-hosted applications. Recently Edge computing is proposed as a potential …
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Modelllierung von TOSCA-basierten Deployment Modellen in Java
In den letzten Jahren gewinnt das Thema Cloud Computing in vielen Bereichen der Gesellschaft zunehmend an Bedeutung. Immer mehr Unternehmen verlagern Anwendungen sowie Teile der lokalen Infrastruktur in die Cloud. Die Automatisierung des Deployments solcher Cloud-Anwendungen wird jedoch durch deren …
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eMicro: Real-Time Multi-Hop Access Control for Microservices with eBPF
Modern cloud applications often comprise thousands of microservices whose interactions form complex request paths. Traditional inter-service access control restricts individual service-to-service requests, but fails to prevent multi-hop attacks, where each hop appears legitimate yet the overall …
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Custom templates for hybrid cloud resources orchestration of user workflows
… in interdisciplinary and data-intensive applications were infrastructure requirements are unique. In that sense numerous novelty hybrid cloud applications require to incorporate several computing and networking resources infrastructure �components�, as part of an integral deployment …
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Interposing the Syscall Boundary: Transparent Python Execution in SigmaOS
… provide both serverless and stateful support to cloud applications while maintaining strong isolation, security, and efficient startup times and scheduling among multiple users. While σOS and its container startup times have been successfully benchmarked for tasks written, compiled, and …
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Cloud computing adoption model for governments and large enterprises
Cloud Computing has held organizations across the globe spell bound with its promise. As it moves from being a buzz word and hype into adoption, organizations are faced with question of how to best adopt cloud. Existing frameworks of cloud adoption look at different aspects of cloud but stop short …
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Fog Computing for Heterogeneous Multi-Robot Systems With Adaptive Task Allocation
The evolution of cloud computing has finally started to affect robotics. Indeed, there have been several real-time cloud applications making their way into robotics as of late. Inherent benefits of cloud robotics include providing virtually infinite computational power and enabling collaboration of …
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A systems thinking approach to business intelligence solutions based on cloud computing
… to support decision making in the organizations. Cloud computing is a new paradigm for offering computing resources that work on demand, are scalable and are charged by the time they are used. Organizations can save large amounts of money and effort using this approach. This document identifies …
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Elastic Highly Available Cloud Computing
High availability and elasticity are two the cloud computing services technical features. Elasticity is a key feature of cloud computing where provisioning of resources is closely tied to the runtime demand. High availability assure that cloud applications are resilient to failures. Existing cloud …
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Reasoning under partial observability in heterogeneous networked systems
… on such systems, including building automation, cloud applications, industrial monitoring, and connected medical or sensor devices. In these systems, overall behavior is shaped by configuration choices, such as access rules, control logic, and communication settings, and by how these choices …
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𝜎OS: Elastic Realms for Multi-Tenant Cloud Computing
Despite the enormous success of cloud computing, programming and deploying cloud applications remains challenging. Application developers are forced to either explicitly provision resources or limit the types of applications they write to fit a serverless framework such as AWS Lambda. 𝜎OS is a new …
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Dynamic Models under Uncertainty for Large-Scale Enterprise Systems
Many enterprise applications such as assortment planning, inventory control and supply chain management rely on forecasting, optimization and machine learning methodologies. While many methods have been developed for static deterministic systems there is a need for methodologies that are dynamic, …
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Abstraction Driven Application and Data Portability in Cloud Computing
Cloud computing has changed the way organizations create, manage, and evolve their applications. While many organizations are eager to use the cloud, tempted by substantial cost savings and convenience, the implications of using clouds are still not well understood. One of the major concerns in …
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A framework for proactive fault tolerance in cloud-IoT applications
… Internet of Things (IoT) devices with the cloud has several benefits, including expanding local IoT resources and improving cloud-IoT application performance. Cloud computing can benefit from IoT devices and applications by extending its scope to include real-world surroundings. On the …
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