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 10 of 10 for “"Auto-scaling"”.
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Auto-Scaling Containerized Microservice Applications
… requirements are typically implemented within an auto-scaler module. The third requirement, unique to microservice applications, is the need for owners to roll out updates in an agile and frequent manner. Hence, an auto-scaler appropriate for microservices should be designed to support this …
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Real-time Intrusion Detection using Multidimensional Sequence-to-Sequence Machine Learning and Adaptive Stream Processing
… of packets and an adaptive and functionally auto-scaling stream processor: "Wisdom" is proposed to process streams of packets. The proposed MSeq2MSeq model trained on legitimate traffic is able to detect Neptune Denial of Service (DoS) attacks, and Port Scan probes with 100% detection rate …
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Network-Aware Resource Management for Mobile Cloud
… resources have also been presented. Auto-scaling enables efficient computing resource management in the mobile cloud. An empirical performance analysis of cloud vertical scaling for mobile cloud resource management has been conducted. The working procedures of the proposed unified …
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Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
… including performance-aware edge selection, auto-scaling and load balancing on the edge, fault tolerance, and in-situ data access. We evaluate Armada in both real-world volunteer environments and emulated platforms to show how common edge applications, namely real-time object detection and …
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Towards federated learning over large-scale streaming data
… applications, modern DSPEs often provide auto-scaling. However, the existing designs of advanced analytical frameworks are not effectively aligned with scalable streaming computing environments. We have designed and developed ORCA, a federated learning architecture that supports the …
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LiveDataLab: A cloud-based platform for data science education
… competitions, course assignment hosting, and auto-grading abilities. All of these applications are powered by a novel auto-scaling cloud backbone enabling these capabilities at relatively low cost. Additionally, LiveDataLab simultaneously serves as a platform supporting data science research …
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Genetic programming applied to RFI mitigation in radio astronomy
… and lower limits to the size of syntax trees, an auto-scaling multiclass classifier, and a Numpy array element manager. In addition to the research conducted at the SKA-SA, it is described how Karoo GP was applied to fine-tuning parameters of a weather prediction model at the South African …
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Database consistency in cloud databases
… the transactions. We also present an efficient auto-scaling feature for the proposed transaction manager. Our experimental results shows that TBC has better response time than other approaches regardless of the arrival rate, read-write ratio, variation in data selection preference or database …
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Accelerating Practical Engineering Design Optimization with Computational Graph Transformations
… scientific computing strategies (e.g., automatic differentiation, automatic sparsity detection, problem auto-scaling) that automatically analyze, augment, and accelerate the user’s code before passing it to a modern gradient-based optimization algorithm. This paradigm offers a compelling …
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Using machine learning techniques in developing an autonomous network orchestration scheme in 5g networks
… the optimum Quality of Service (QoS) by using Auto Scaling Engine (ASE). The algorithm also used to generate specific QoS by using Open5G Core. Therefore, this study shows that it is possible to allocate slices based on webtasks in 5G Mobile network thus proposing to investigate further; to …