The proceedings contain 65 papers. The topics discussed include: event-driven FaaS workflows for enabling IoT data processing at the cloud edge continuum;the early microbenchmark catches the bug - studying performance...
ISBN:
(纸本)9798400702341
The proceedings contain 65 papers. The topics discussed include: event-driven FaaS workflows for enabling IoT data processing at the cloud edge continuum;the early microbenchmark catches the bug - studying performance issues using micro-and application benchmarks;identifying network congestion using knowledge graphs and link prediction;cloud workload categorization using various data preprocessing and clustering techniques;compliance management of IaC-based cloud deployments during runtime;NSDF-services: integrating networking, storage, and computing services into a testbed for democratization of data delivery;a data-driven analysis of a cloud data center: statistical characterization of workload, energy and temperature;and optimal deployment of cloud-native applications with fault-tolerance and time-critical end-to-end constraints.
The proceedings contain 63 papers. The topics discussed include: tarot: spatio-temporal function placement for serverless smart city applications;online self-evolving anomaly detection for reliable cloudcomputing;ena...
ISBN:
(纸本)9781665460873
The proceedings contain 63 papers. The topics discussed include: tarot: spatio-temporal function placement for serverless smart city applications;online self-evolving anomaly detection for reliable cloudcomputing;enabling awareness of quality of training and costs in federated machine learning marketplaces;Polaris scheduler: SLO- and topology-aware microservices scheduling at the edge;cloud storage and processing service selection considering tiered pricing and data regulations;proactive autonomic cloud application management;Arktos: a hyperscale cloud infrastructure for building distributed cloud;mobility-aware serverless function adaptations across the edge-cloud continuum;performance evaluation of serverless edge computing for machine learning applications;developing a secure architecture for Internet of medical things using attribute-based encryption;resolution matters: revisiting prediction-based job co-location in public clouds;and scaling data analysis services in an edge-based federated learning environment.
The proceedings contain 76 papers. The topics discussed include: a cost-efficient resource allocation for fog computing with users and providers perspective;dependency, deadline and priority aware multi-queue dynamic ...
ISBN:
(纸本)9798350367201
The proceedings contain 76 papers. The topics discussed include: a cost-efficient resource allocation for fog computing with users and providers perspective;dependency, deadline and priority aware multi-queue dynamic task scheduling using heterogeneous resources in fog environment;truffle: efficient data passing for data-intensive serverless workflows in the edge-cloud continuum;advancing orchestration: leveraging distance functions to meet application intents;lightweight machine learning for edge learning in Kubernetes clusters;scalable regenesis: towards shrinking blockchain with on-chain state;optimizing multiple consumer-specific objectives in end-to-end ensemble machine learning serving;and evaluating energy-aware cloud task scheduling techniques: a comprehensive dialectical approach.
The proceedings contain 21 papers. The topics discussed include: game-theoretic modeling of DDoS attacks in cloudcomputing;distributed federated service chaining for heterogeneous network environments;system-aware dy...
ISBN:
(纸本)9781450385640
The proceedings contain 21 papers. The topics discussed include: game-theoretic modeling of DDoS attacks in cloudcomputing;distributed federated service chaining for heterogeneous network environments;system-aware dynamic partitioning for batch and streaming workloads;automated detection of design patterns in declarative deployment models;exploring the cost and performance benefits of AWS step functions using a data processing pipeline;multi-cloud serverless function composition;apollo: towards an efficient distributed orchestration of serverless function compositions in the cloud-edge continuum;courier: delivering serverless functions within heterogeneous FaaS deployments;accord: application-driven networking in the datacenter;QoS-aware 5G component selection for content delivery in multi-access edge computing;and enforcing deployment latency SLA in edge infrastructures through multi-objective genetic scheduler.
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;alcoh...
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.
The proceedings contain 52 papers. The topics discussed include: decentralized kubernetes federation control plane;managing vertical memory elasticity in containers;an approach for preventing and detecting attacks in ...
ISBN:
(纸本)9780738123943
The proceedings contain 52 papers. The topics discussed include: decentralized kubernetes federation control plane;managing vertical memory elasticity in containers;an approach for preventing and detecting attacks in the cloud;CMFog: proactive content migration using Markov chain and MADM in fog computing;single-input multiple-output control for multi-goal orchestration;scission: performance-driven and context-aware cloud-edge distribution of deep neural networks;WattsApp: power-aware container scheduling;and hearing loss classification via stationary wavelet entropy and genetic algorithm.
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...
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.
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...
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.
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 se...
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 cloudcomputing 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 cloudcomputing;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.
The proceedings contain 26 papers. The topics discussed include: hierarchical and frequency-aware model predictive control for bare-metal cloud applications;profiling and predicting application performance on the clou...
ISBN:
(纸本)9781538655047
The proceedings contain 26 papers. The topics discussed include: hierarchical and frequency-aware model predictive control for bare-metal cloud applications;profiling and predicting application performance on the cloud;a model driven engineering approach for flexible and distributed monitoring of cross-cloud applications;pattern-based deployment models and their automatic execution;combining VM preemption schemes to improve vertical memory elasticity scheduling in clouds;pacer: automated feedback-based vertical elasticity for heterogeneous soft real-time workloads;scheduling scientific workflows on clouds using a task duplication approach;and task runtime prediction in scientific workflows using an online incremental learning approach.
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