https://andreashellander.se/wp-content/uploads/2016/01/1-s2.0-S0306437914001288-main.pdf

The rise of big data on cloud computing

The Future of the Internet and How to Stop It Jonathan Zittrain. New Haven: Yale University Press, 2008. 342 pages. $30.00.Jonathan Zittrain's book, The Future of the Internet and How to Stop It, discusses the tension between generativity, the "capacity to produce unanticipated change through unfiltered contributions from a broad and varied audience" and the security problems inherent in today's personal computers and Internet system (70). This generativity, Zittrain argues, is the greatest strength of personal computers and the Internet and had led to great innovations, including creative software, peer-to-peer networking, blogs and content sites such as Wikipedia, and even the Internet itself. Yet this same generativity has also spawned security, legal, and social problems that may lead to the demise of personal computers and the Internet as they exist today (101). If we do not find solutions for these problems, Zittrain warns, we will be faced with government or corporate control of personal computers and the Internet, similar to current controls of cellular telephones and cable converter boxes, which will effectively shut down the innovations that personal computers and the Internet currently enable (245). Personal computers, according to Zittrain, will become nothing but appliances programmed by the manufacturer, capable only of limited tasks, and stripped of the tools and capabilities necessary for innovation.The first part of the book traces the history of personal computers, mainframes, proprietary servers, and the Internet. This section highlights how differences in technology and administration fostered generativity in personal computers and on the Internet and prohibited innovation on the mainframes and proprietary networks. Yet the innovations made possible by the generative nature of the Internet and personal computers also created its vulnerabilities: viruses, worms, malware, and spyware. Despite his obvious support of generativity, Zittrain admits that the current situation is "not sustainable" (43), but warns that the obvious solutions-such as limited functionality, governmental controls, and censorship-completely undermine the creativity made possible by personal computers and the Internet. The sec- ond part of the book defines generativity and explores its benefits and detriments. Here, Zittrain proposes that information technology functions best when generative, while admitting that we cannot ignore the problems caused by generativity (64), and warns equally of the dangers of controlled appliances: censorships, surveillance, forced legal compliance, and unannounced changes in machine functions. Chapter 6 in this section considers Wikikpedia as a self-regulating generative system that functions imperfectly but well. Part Three proposes technological, legal, and social solutions to the problems discussed earlier in the book.The Future of the Internet intertwines its analysis of current personal computer/Internet problems with current and historical examples from business, law, culture (Internet and otherwise), and technology. These examples, often worthwhile and interesting in and of themselves, underpin Zittrain's analysis rationally and support his conclusions. The examples show that the kind of sledgehammer solutions that Zittrain predicts are not merely possibilities or potentialities, but already have been and are being employed by various companies and governments. Perhaps best of all, Zittrain's use of these historical and current examples avoids the sensationalism often seen in other works that predict governmental and corporate control of options, behavior, and creativity. …

The Future of the Internet and How to Stop It

A review on the practice of big data analysis in agriculture

Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering. At the same time, Big Data presents challenges for digital earth to store, transport, process, mine and serve the data. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software; the application of these resources has fostered impressive Big Data advancements. This paper surveys the two frontiers – Big Data and cloud computing – and reviews the advantages and consequences of utilizing cloud computing to tackling Big Data in the digital earth and relevant science domains. From the aspects of a general introduction, sources, challenges, technology status and research opportunities, the following observations are offered: (i...

https://tandfonline.com/doi/pdf/10.1080/17538947.2016.1239771

Big Data and cloud computing: innovation opportunities and challenges

The iPlant Collaborative provides life science research communities access to comprehensive, scalable, and cohesive computational infrastructure for data management; identity management; collaboration tools; and cloud, high-performance, high-throughput computing. iPlant provides training, learning material, and best practice resources to help all researchers make the best use of their data, expand their computational skill set, and effectively manage their data and computation when working as distributed teams. iPlant’s platform permits researchers to easily deposit and share their data and deploy new computational tools and analysis workflows, allowing the broader community to easily use and reuse those data and computational analyses.

/pdf/the-iplant-collaborative-cyberinfrastructure-for-enabling-1ue4w0ykru.pdf

The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences.

/pdf/merra-analytic-services-meeting-the-big-data-challenges-of-4cg2kd9qr9.pdf

MERRA Analytic Services: Meeting the Big Data challenges of climate science through cloud-enabled Climate Analytics-as-a-Service

Climate science is a Big Data domain that is experiencing unprecedented growth. In our efforts to address the Big Data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with Big Data that ultimately produce societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by Cloud Computing. Within this framework, Cloud Computing plays an important role; however, we it see it as only one element in a constellation of capabilities that are essential to delivering climate analytics as a service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the Big Data challenges in this domain. MERRA Analytic Services (MERRAAS) is an example of cloud-enabled CAaaS built on this principle. MERRAAS enables MapReduce analytics over NASAs Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of 26 key climate variables. It represents a type of data product that is of growing importance to scientists doing climate change research and a wide range of decision support applications. MERRAAS brings together the following generative elements in a full, end-to-end demonstration of CAaaS capabilities: (1) high-performance, data proximal analytics, (2) scalable data management, (3) software appliance virtualization, (4) adaptive analytics, and (5) a domain-harmonized API. The effectiveness of MERRAAS has been demonstrated in several applications. In our experience, Cloud Computing lowers the barriers and risk to organizational change, fosters innovation and experimentation, facilitates technology transfer, and provides the agility required to meet our customers' increasing and changing needs. Cloud Computing is providing a new tier in the data services stack that helps connect earthbound, enterprise-level data and computational resources to new customers and new mobility-driven applications and modes of work. For climate science, Cloud Computing's capacity to engage communities in the construction of new capabilies is perhaps the most important link between Cloud Computing and Big Data.

C. M. Grieg

Papers

MERRA Analytic Services: Meeting the Big Data challenges of climate science through cloud-enabled Climate Analytics-as-a-Service

MERRA Analytic Services: Meeting the Big Data Challenges of Climate Science through Cloud-Enabled Climate Analytics-as-a-Service