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检索条件"任意字段=Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion"

共 79 条记录，以下是1-10 订阅

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UCC 2019 companion - proceedings of the 12th ieee/acm international conference on utility and cloud computing

UCC 2019 Companion - Proceedings of the 12th IEEE/ACM Intern...

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12th ieee/acm international conference on utility and cloud computing, UCC companion 2019

ISBN: (纸本)9781450370448

the proceedings contain 30 papers. the topics discussed include: component-based scheduling for fog computing;envisioning SLO-driven service selection in multi-cloud applications;towards an integration methodology for multi-cloud application management platforms;applicability of serverless computing in fog computing environments for IoT scenarios;cloud enablers for testing large-scale distributed applications;are cloud modeling languages ready for multi-cloud?;resource allocation for multiple workflows in cloud-fog computing systems;intelligent price alert system for digital assets - cryptocurrencies;and MEML: resource-aware MQTT-based machine learning for network attacks detection on IoT edge devices.

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companion proceedings of the 14th ieee/acm international conference on utility and cloud computing, UCC 2021

Companion Proceedings of the 14th IEEE/ACM International Con...

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14th ieee/acm international conference on utility and cloud computing, UCC 2021

ISBN: (纸本)9781450391634

the proceedings contain 37 papers. the topics discussed include: alcoholism detection via GLCM and particle swarm optimization;a new pulmonary disease diagnosis system based on EfficientNet and transfer learning;alcoholism via wavelet energy entropy and support vector machine;knowledge distillation for secondary pulmonary tuberculosis classification ensemble;a short survey on deep learning for skeleton-based action recognition;medical 3D reconstruction based on deep learning for healthcare;blockchain-based cyber-physical systems security autonomous routing scheme;multi-path selection access algorithm and design of intelligent perception network model for blockchain-enabled CPSs;and dealing with multi-step verification processes for certification issuance in universities.

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proceedings - 11th ieee/acm international conference on utility and cloud computing companion, UCC companion 2018

Proceedings - 11th IEEE/ACM International Conference on Util...

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11th ieee/acm international conference on utility and cloud computing companion, UCC companion 2018

ISBN: (纸本)9781728103594

the proceedings contain 67 papers. the topics discussed include: hierarchical document classification using overlapped features;human activity detection via WiFi signals using deep neural networks;data coloring for securing open-data in cloud computing environment;transparent deployment of scientific workflows across clouds - kubernetes approach;towards a multi-tier fog/cloud architecture for video streaming;dataflow adapter: a tool for integrating legacy applications into distributed stream processing;developing an e-health system based on IoT, fog and cloud computing;detecting epileptic seizures using deep learning with cloud and fog computing;robust and resilient migration of data processing systems to public hadoop grid;and cloud challenge: secure end-to-end processing of smart metering data.

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UCC 2019 - proceedings of the 12th ieee/acm international conference on utility and cloud computing

UCC 2019 - Proceedings of the 12th IEEE/ACM International Co...

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12th ieee/acm international conference on utility and cloud computing, UCC 2019

ISBN: (纸本)9781450368940

the proceedings contain 28 papers. the topics discussed include: an evaluation of FaaS platforms as a foundation for serverless big data processing;exploring the cost-benefit of AWS EC2 GPU instances for deep learning applications;aperture: fast visualizations over spatiotemporal datasets;fog horizons - a theoretical concept to enable dynamic fog architectures;edge affinity-based management of applications in fog computing environments;microservices-based IoT application placement within heterogeneous and resource constrained fog computing environments;tensor-based resource utilization characterization in a large-scale cloud infrastructure;and modeling and prediction of resource utilization of hadoop clusters: a machine learning approach.

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Marginal Metric utility for Autonomic cloud Application Management 14

Marginal Metric Utility for Autonomic Cloud Application Mana...

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ieee/acm 14th international conference on utility and cloud computing

作者： Rozanska, Marta Horn, Geir Univ Oslo Oslo Norway

ISBN: (纸本)9781450391634

Managing cloud applications with variable resource requirements over time is an insipid task that could benefit from autonomic application management. the management platform will then need to know what the application owner considers a good deployment for the current execution context, which is normally captured by a utility function. However, it is often difficult to define such a function directly by first principles in a way that would perfectly capture the application owner's preferences. this paper proposes a methodology for defining the utility function only from the monitoring measurements taken to assess the state and context of the running application.

关键词： cloud computing utility function modelling multi-criteria decision making

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Adaptive Brokerage Framework for the cloud with Functional Testing 14

Adaptive Brokerage Framework for the Cloud with Functional T...

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ieee/acm 14th international conference on utility and cloud computing

作者： Ceesay, Sheriffo Lin, Yuhui Barker, Adam Univ St Andrews St Andrews Fife Scotland

ISBN: (纸本)9781450391634

In this paper, we present an Adaptive Brokerage for the cloud (ABC) that can be used to simplify application deployment, monitoring and management processes in the cloud. the broker uses modern cloud infrastructure automation tools to test, deploy, monitor and optimise cloud resources. We used an e-commerce application to evaluate the entire functionality of the broker, we found out that different deployment options such as single-tier vs two-tier lead to interesting hardware and application performance insights. these insights are used to make effective infrastructure optimisation decisions.

关键词： cloud computing Software Engineering Automated provisioning Functional Testing IaC

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Proactive Autoscaling for Edge computing Systems with Kubernetes 14

Proactive Autoscaling for Edge Computing Systems with Kubern...

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ieee/acm 14th international conference on utility and cloud computing

作者： Ju, Li Singh, Prashant Toor, Salman Uppsala Univ Dept Informat Technol Uppsala Sweden Uppsala Univ Dept Informat Technol Sci Life Lab Uppsala Sweden

ISBN: (纸本)9781450391634

With the emergence of the Internet of things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing applications do not utilize heterogeneous resources of edge systems efficiently, leaving scope for performance improvement. In this work, we propose a Proactive Pod Autoscaler (PPA) for edge computing applications on Kubernetes. the proposed PPA is able to forecast workloads in advance with multiple user-defined/customized metrics and to scale edge computing applications up and down correspondingly. the PPA is optimized and evaluated on an example CPU-intensive edge computing application further. It can be concluded that the proposed PPA outperforms the default pod autoscaler of Kubernetes on both efficiency of resource utilization and application performance. the article also highlights future possible improvements on the proposed PPA.

关键词： edge computing autoscaling Kubernetes proactive autoscaling

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Towards a Bayesian Prognostic Framework for High-Availability Clusters 14

Towards a Bayesian Prognostic Framework for High-Availabilit...

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ieee/acm 14th international conference on utility and cloud computing

作者： Somasekaram, Premathas Calinescu, Radu Univ York Dept Comp Sci York N Yorkshire England

ISBN: (纸本)9781450391634

Critical applications deployed on cloud and in-house information technology infrastructures use software solutions known as highavailability clusters (HACs) to ensure higher availability. Our paper introduces a Bayesian prognostic (BP) framework that improves the ability ofHACs to (i) predict component failures that can be resolved by reinitialising the failed component and (ii) propagate and predict failures in high-level components when the component failure cannot be resolved through reinitialisation. Preliminary experiments presented in the paper demonstrate that this BP framework can reduce the downtime for an enterprise application subjected to a wide range of injected faults by between 5.5 and 7.9 times compared to the availability achieved by the open-source HAC ClusterLabs stack (Pacemaker/Corosync).

关键词： Bayesian networks cloud computing high availability clusters

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An Integrated Approach for cloud computing Service Selection and Cost Estimation 14

An Integrated Approach for Cloud Computing Service Selection...

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ieee/acm 14th international conference on utility and cloud computing

作者： Plewnia, Christian Rhein Westfal TH Aachen Res Grp Software Construct Aachen Germany

ISBN: (纸本)9781450391634

Selecting suitable cloud services and estimating future cloud costs for organizations with a large set of software services is a challenging task. To achieve this, one needs to understand all software applications' cloud service configuration requirements. Further, one needs to estimate how the applications' requirements change over time, e.g., due to scaling with a growing number of application users. then, one needs to compare for different cloud providers the costs over time of setups matching the requirements. this task, if done manually, is laborious, error prone, and has to be repeated when the organization's business or application requirements change. In my PhD project, I will research an integrated approach that assists users in, on the one hand, finding a cost-optimal selection of cloud services for given requirements and, on the other hand, estimating future costs. I want to achieve this with the support of a software tool integrating existing research on the individual topics and, thereby, allowing to apply and study existing cloud service selection and cost estimation approaches.

关键词： cloud computing cloud service selection cost estimation cost optimization

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Self-balancing Architectures based on Liquid Functions across computing Continuums 14

Self-balancing Architectures based on Liquid Functions acros...

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ieee/acm 14th international conference on utility and cloud computing

作者： Spillner, Josef Zurich Univ Appl Sci Winterthur Switzerland

ISBN: (纸本)9781450391634

Scalable application development is highly influenced by two major trends - serverless computing and continuum computing. these trends have had little intersection, as most application architectures, even when following a microservices or function-based approach, are built around rather monolithic Function-as-a-Service engines that do not span continuums. Functions are thus separated codewise but not infrastructure-wise, as they continue to run on the same single platform they have been deployed to. Moreover, developing and deploying distributed applications remains non-trivial and is a hurdle for enhancing the capabilities of mobile and sensing domains. To overcome this limitation, the concept of self-balancing architectures is introduced in which liquid functions traverse cloud and edge/fog platforms in a continuum as needed, represented by the abstract notion of pressure relief valves based on resource capacities, function execution durations and optimisation preferences. With CoRFu, a reference implementation of a continuum-wide distributed Function-as-a-Service engine is introduced and combined with a dynamic function offloading framework. the implementation is validated with a sensor data inference and regression application.

关键词： serverless computing continuum computing liquid software

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