Digital Rubbish


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Digital Rubbish


Digital Rubbish

Author: Jennifer Gabrys

language: en

Publisher: University of Michigan Press

Release Date: 2013-04-26


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This is a study of the material life of information and its devices; of electronic waste in its physical and electronic incarnations; a cultural and material mapping of the spaces where electronics in the form of both hardware and information accumulate, break down, or are stowed away. Where other studies have addressed "digital" technology through a focus on its immateriality or virtual qualities, Gabrys traces the material, spatial, cultural and political infrastructures that enable the emergence and dissolution of these technologies. In the course of her book, she explores five interrelated "spaces" where electronics fall apart: from Silicon Valley to Nasdaq, from containers bound for China to museums and archives that preserve obsolete electronics as cultural artifacts, to the landfill as material repository. Digital Rubbish: A Natural History of Electronics describes the materiality of electronics from a unique perspective, examining the multiple forms of waste that electronics create as evidence of the resources, labor, and imaginaries that are bundled into these machines. Ranging across studies of media and technology, as well as environments, geography, and design, Jennifer Gabrys draws together the far-reaching material and cultural processes that enable the making and breaking of these technologies.

Electronic Waste


Electronic Waste

Author: Josh Lepawsky

language: en

Publisher: Bloomsbury Publishing USA

Release Date: 2025-02-06


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The United Nations has reported that the world is on track to produce over 180 billion pounds of electronic waste (e-waste) by 2030. This tidal wave of discarded electronic products, including cellular phones, laptop and desktop computers, televisions, solar panels, major household appliances, and telecommunications equipment, poses a host of serious environmental and public health problems and challenges. Electronic Waste: A Reference Handbook provides readers with an illuminating survey of the myriad issues and controversies surrounding the collection, treatment, disposal, and recycling of electric and electronic products, including trends and challenges related to public health, social justice, and environmental protection and stewardship. It also discusses ways in which increasingly electronics-dependent societies and economies are factoring environmental, social, and public health considerations into their e-waste mitigation, recycling, and disposal strategies. The book is further supplemented with perspectives from experts in the field of electronic waste, profiles of important organizations and agencies, and a chronology of major events and developments.

Computational Intelligence for Green Cloud Computing and Digital Waste Management


Computational Intelligence for Green Cloud Computing and Digital Waste Management

Author: Kumar, K. Dinesh

language: en

Publisher: IGI Global

Release Date: 2024-02-27


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In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption. Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource.