front cover of Authentication Technologies for Cloud Computing, IoT and Big Data
Authentication Technologies for Cloud Computing, IoT and Big Data
Yasser M. Alginahi
The Institution of Engineering and Technology, 2019
Critical systems and infrastructure rely heavily on ICT systems and networks where security issues are a major concern. Authentication methods verify that messages come from trusted sources and guarantee the smooth flow of information and data. In this edited reference, the authors present state-of-art research and development in authentication technologies including challenges and applications for Cloud Technologies, IoT and Big Data. Topics covered include authentication; cryptographic algorithms; digital watermarking; biometric authentication; block ciphers with applications in IoT; identification schemes for Cloud and IoT; authentication issues for Cloud applications; cryptography engines for Cloud based on FPGA; and data protection laws.
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front cover of Big Data and Software Defined Networks
Big Data and Software Defined Networks
Javid Taheri
The Institution of Engineering and Technology, 2018
Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data and usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). SDN helps CDCs run their services more efficiently by enabling managers to configure, manage, secure, and optimize the network resources very quickly. Big-Data Analytics in turn has entered CDCs to harvest the massive computing powers and deduct information that was never reachable by conventional methods.
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front cover of Composition and Big Data
Composition and Big Data
Amanda Licastro, Benjamin Miller
University of Pittsburgh Press, 2021

In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows ever more pronounced. It is increasingly possible to examine thousands of documents and peer-review comments, labor-hours, and citation networks in composition courses and beyond. Composition and Big Data brings together a range of scholars, teachers, and administrators already working with big-data methods and datasets to kickstart a collective reckoning with the role that algorithmic and computational approaches can, or should, play in research and teaching in the field. Their work takes place in various contexts, including programmatic assessment, first-year pedagogy, stylistics, and learning transfer across the curriculum. From ethical reflections to database design, from corpus linguistics to quantitative autoethnography, these chapters implement and interpret the drive toward data in diverse ways. 

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Geography's Quantitative Revolutions
Edward A. Ackerman and the Cold War Origins of Big Data
Elvin Wyly
West Virginia University Press, 2019

Do you have a smartphone? Billions of people on the planet now navigate their daily lives with the kind of advanced Global Positioning System capabilities once reserved for the most secretive elements of America’s military-industrial complex. But when so many people have access to the most powerful technologies humanity has ever devised for the precise determination of geographical coordinates, do we still need a specialized field of knowledge called geography?

Just as big data and artificial intelligence promise to automate occupations ranging from customer service and truck driving to stock trading and financial analysis, our age of algorithmic efficiency seems to eliminate the need for humans who call themselves geographers—at the precise moment when engaging with information about the peoples, places, and environments of a diverse world is more popular than ever before. How did we get here? This book traces the recent history of geography, information, and technology through the biography of Edward A. Ackerman, an important but forgotten figure in geography’s “quantitative revolution.” It argues that Ackerman’s work helped encode the hidden logics of a distorted philosophical heritage—a dangerous, cybernetic form of thought known as militant neo-Kantianism—into the network architectures of today’s pervasive worlds of surveillance capitalism.

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front cover of Monitored
Monitored
Business and Surveillance in a Time of Big Data
Peter Bloom
Pluto Press, 2019
Our contemporary age is confronted by a profound contradiction: on the one hand, our lives as workers, consumers and citizens have become ever more monitored by new technologies. On the other, big business and finance become increasingly less regulated and controllable.

What does this technocratic ideology and surveillance-heavy culture reveal about the deeper reality of modern society? Monitored investigates the history and implications of this modern accountability paradox. Peter Bloom reveals pervasive monitoring practices which mask how at its heart, the elite remains socially and ethically out of control.

Challenging their exploitive 'accounting power', Bloom demands that the systems that administer our lives are oriented to social liberation and new ways of being in the world.
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The Poetics of Scale
From Apollinaire to Big Data
Conrad Steel
University of Iowa Press, 2024
Since the start of the twentieth century, poets have been irresistibly drawn to the image of the poem as a kind of data-handling, a way of mediating between the divergent scales of aesthetics and infrastructure, language and technology. Conrad Steel shows how the history of poetry—with its particular formal affordances, and the particular hopes and fears we invest it with—has always been bound up with our changing logistics of macroscale representation. 

The Poetics of Scale takes us back to the years before the First World War in Paris, where the poet Guillaume Apollinaire claimed to have invented a new mode of poetry large enough to take on the challenges of the coming twentieth century. This history follows Apollinaire’s ideas across the Atlantic and examines how and why his work became such a vital source of inspiration for American poets through the era of intensive American economic expansion and up to the present day. Threading together Apollinaire’s work in the 1910s with three of his American successors—Louis Zukofsky in the 1930s, Allen Ginsberg in the 1950s, and Alice Notley from the 1970s onward—it shows how poetry as a cultural technique became the crucial test case for the scale of our collective imagination.
 
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