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"Hearing Luxe Pop explores a deluxe-production aesthetic that has long thrived in American popular music. John Howland presents an alternative music history that centers on shifts in timbre and sound through innovative uses of media, orchestration, and arranging. He travels from symphonic jazz to the Great American Songbook; teenage symphonies of the Motown label and 1960s girl groups to the emerging "countrypolitan" sound of Nashville; the sunshine pop and baroque pop of the Beach Boys to the blending of soul and funk into 1970s disco; the hip-hop-with-orchestra events of Jay-Z and Kanye West to indie rock bands with the Brooklyn Philharmonic. The luxe aesthetic merges popular-music idioms with lush string orchestrations, big-band instrumentation, and symphonic instruments. This book attunes readers to hearing the discourses that gathered around the music and its associated images, and in turn examines pop's relations to aspirational consumer culture, spectacle, theatricality, glamour, sophistication, cosmopolitanism, and "classy" lifestyles"--

Arrangement (Music) --- Arrangement (Music). --- Instrumentation and orchestration --- Instrumentation and orchestration. --- MUSIC / History & Criticism. --- Popular music --- Popular music --- Popular music --- Popular music --- Popular music. --- History --- History --- History and criticism --- Philosophy and aesthetics --- Philosophy and aesthetics. --- Production and direction --- History --- 1900-1999. --- United States.

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The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented and virtual reality (AR/VR), intelligent transportation systems, and smart factories require ultra-low latency for data communication and processing. Fog/edge computing is a new computing paradigm where fully distributed fog/edge nodes located nearby end devices provide computing resources. By analyzing, filtering, and processing at local fog/edge resources instead of transferring tremendous data to the centralized cloud servers, fog/edge computing can reduce the processing delay and network traffic significantly. With these advantages, fog/edge computing is expected to be one of the key enabling technologies for building the IoT infrastructure. Aiming to explore the recent research and development on fog/edge computing technologies for building an IoT infrastructure, this book collected 10 articles. The selected articles cover diverse topics such as resource management, service provisioning, task offloading and scheduling, container orchestration, and security on edge/fog computing infrastructure, which can help to grasp recent trends, as well as state-of-the-art algorithms of fog/edge computing technologies.

Information technology industries --- cloud computing --- container orchestration --- custom metrics --- Docker --- edge computing --- Horizontal Pod Autoscaling (HPA) --- Kubernetes --- Prometheus --- resource metrics --- fog computing --- task allocation --- multi-objective optimization --- evolutionary genetics --- hyper-angle --- crowding distance --- containers --- leader election --- load balancing --- stateful --- multi-access edge computing --- orchestrator --- task offloading --- fuzzy logic --- 5G --- fog/edge computing --- service provisioning --- service placement --- service offloading --- Internet of Things (IoT) --- task scheduling --- markov decision process (MDP) --- deep reinforcement learning (DRL) --- resource management --- algorithm classification --- evaluation framework --- web --- Web Assembly --- OpenCL --- LWC --- fast implementation --- Internet of things --- IoT actor --- data manager --- GDPR --- computing --- computational offloading --- dynamic offloading threshold --- minimizing delay --- minimizing energy consumption --- maximizing throughputs --- cloud computing --- container orchestration --- custom metrics --- Docker --- edge computing --- Horizontal Pod Autoscaling (HPA) --- Kubernetes --- Prometheus --- resource metrics --- fog computing --- task allocation --- multi-objective optimization --- evolutionary genetics --- hyper-angle --- crowding distance --- containers --- leader election --- load balancing --- stateful --- multi-access edge computing --- orchestrator --- task offloading --- fuzzy logic --- 5G --- fog/edge computing --- service provisioning --- service placement --- service offloading --- Internet of Things (IoT) --- task scheduling --- markov decision process (MDP) --- deep reinforcement learning (DRL) --- resource management --- algorithm classification --- evaluation framework --- web --- Web Assembly --- OpenCL --- LWC --- fast implementation --- Internet of things --- IoT actor --- data manager --- GDPR --- computing --- computational offloading --- dynamic offloading threshold --- minimizing delay --- minimizing energy consumption --- maximizing throughputs