Academic literature on the topic 'Amazon API'

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Journal articles on the topic "Amazon API"

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Guimarães, Raphael Mendonça, Bárbara Campos Valente, Priscila Almeida Faria, Lásaro Linhares Stephanelli, Juliana Valentim Chaiblich, and Felipe Bagatoli Silveira Arjona. "Deforestation and malaria incidence in the legal Amazon Region between 1996 and 2012." Cadernos Saúde Coletiva 24, no. 1 (2016): 3–8. http://dx.doi.org/10.1590/1414-462x201500040125.

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Abstract Malaria is a major public health problem, and Brazil is the largest contributor in America to the number of cases. In the country, the Amazon concentrates around 99.5% of the cases. This article aims to compare trends in deforestation rate and the parasite index of malaria in the Amazon region between 1996 and 2012. The annual crude rate of deforestation and the Annual Parasite Index (API) of malaria between 1996 and 2012 were estimated. The rate of deforestation has great variability among the states every year, and a similar situation is observed for malaria API over the studied per
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DALE, ROBERT. "Text analytics APIs, Part 2: The smaller players." Natural Language Engineering 24, no. 5 (2018): 797–803. http://dx.doi.org/10.1017/s135132491800027x.

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AbstractIt seems like there’s yet another cloud-based text analytics Application Programming Interface (API) on the market every few weeks. If you’re interested in building an application using these kinds of services, how do you decide which API to go for? In the previous Industry Watch post, we looked at the text analytics APIs from the behemoths in the cloud software world: Amazon, Google, IBM and Microsoft. In this post, we survey sixteen APIs offered by smaller players in the market.
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Kumar P., Hari, Sudharshana J., and Sunil Kannah M. "Interoperability of Cloud Using Single API." International Journal of Engineering and Computer Science 9, no. 04 (2020): 25008–13. http://dx.doi.org/10.18535/ijecs/v9i04.4468.

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In the cloud computing model, users access services according to their requirements. Most of the people use cloud since it has low cost, high speed computing, backup and restore, mobility and unlimited flexible storage capacity. Cloud resources are hosted in large datacentres operated by companies such as Amazon, Apple, Google and Microsoft. During cloud application deployment, an application is managed over a single service. Such an approach has several short comings. One side-effect of the lack of interoperability among cloud providers is vendor lock in, which means lack of ability to migrat
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Rodrigues, Eliane da Costa, and David Lopes Neto. "Malaria control in an Amazon municipality." Revista Latino-Americana de Enfermagem 19, no. 6 (2011): 1297–305. http://dx.doi.org/10.1590/s0104-11692011000600004.

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This study aimed to evaluate the organization of malaria control actions in the Indigenous population of the municipality of São Gabriel da Cachoeira, Amazonas, AM, Brazil, from 2003 to 2007. This is an ecological study to evaluate the impact of control measures. Statistical analysis of the indicators revealed that the number of cases showed an increasing trend, with the highest numbers occurring in the rural areas. The same trend was observed for the Annual Parasite Index (API), however the highest APIs were found in the urban areas. The proportion of cases caused by Plasmodium falciparum sho
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Vieira, Gabriel de Deus, Sergio de Almeida Basano, Tony Hiroshi Katsuragawa, and Luís Marcelo Aranha Camargo. "INSECTICIDE-TREATED BED NETS IN RONDÔNIA, BRAZIL: EVALUATION OF THEIR IMPACT ON MALARIA CONTROL." Revista do Instituto de Medicina Tropical de São Paulo 56, no. 6 (2014): 493–97. http://dx.doi.org/10.1590/s0036-46652014000600007.

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Mosquito nets treated with long-lasting insecticide (LLINs), when used in compliance with guidelines of the World Health Organization, may be effective for malaria vector control. In 2012, approximately 150,000 LLINs were installed in nine municipalities in the state of Rondônia. However, no studies have assessed their impact on the reduction of malaria incidence. This study analyzed secondary data of malaria incidence, in order to assess the impact of LLINs on the annual parasite incidence (API). The results showed no statistically significant differences in API one year after LLIN installati
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Park, Jong-Hyuk, Hwa-Young Jeong, Young-Sik Jeong, and Min Choi. "REST-MapReduce: An Integrated Interface but Differentiated Service." Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/170723.

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With the fast deployment of cloud computing, MapReduce architectures are becoming the major technologies for mobile cloud computing. The concept of MapReduce was first introduced as a novel programming model and implementation for a large set of computing devices. In this research, we propose a novel concept of REST-MapReduce, enabling users to use only the REST interface without using the MapReduce architecture. This approach provides a higher level of abstraction by integration of the two types of access interface, REST API and MapReduce. The motivation of this research stems from the slower
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Hiden, Hugo, Simon Woodman, Paul Watson, and Jacek Cala. "Developing cloud applications using the e-Science Central platform." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 1983 (2013): 20120085. http://dx.doi.org/10.1098/rsta.2012.0085.

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This paper describes the e-Science Central (e-SC) cloud data processing system and its application to a number of e-Science projects. e-SC provides both software as a service (SaaS) and platform as a service for scientific data management, analysis and collaboration. It is a portable system and can be deployed on both private (e.g. Eucalyptus) and public clouds (Amazon AWS and Microsoft Windows Azure). The SaaS application allows scientists to upload data, edit and run workflows and share results in the cloud, using only a Web browser. It is underpinned by a scalable cloud platform consisting
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Chandrika, C. P., and Jagadish S. Kallimani. "Polarity Identification for Handwritten Text in Multilingual Documents Using Open Source Optical Character Recognition Tools." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4045–49. http://dx.doi.org/10.1166/jctn.2020.9017.

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Sentimental analysis is a prerequisite for many applications. We propose a model which scans handwritten text in English and Kannada languages by a CamScanner and then translated into editable text by using various Open Source Optical Character Recognition tools. The performances of different OCRs are analyzed and tabulated. Sentimental analysis is performed on the statements written in both English and Kannada languages using Wordnet, Algorithmia Rest API and local dictionaries and we have obtained the satisfied results. The same sentimental analysis module is also applied on customer reviews
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Di Lena, Giuseppe, Andrea Tomassilli, Damien Saucez, Frédéric Giroire, Thierry Turletti, and Chidung Lac. "Distrinet." ACM SIGCOMM Computer Communication Review 51, no. 1 (2021): 2–9. http://dx.doi.org/10.1145/3457175.3457177.

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Networks have become complex systems that combine various concepts, techniques, and technologies. As a consequence, modelling or simulating them now is extremely complicated and researchers massively resort to prototyping techniques. Mininet is the most popular tool when it comes to evaluate SDN propositions. Mininet allows to emulate SDN networks on a single computer but shows its limitations with resource intensive experiments as the emulating host may become overloaded. To tackle this issue, we propose Distrinet , a distributed implementation of Mininet over multiple hosts, based on LXD/LXC
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Lee, Soohyun, Jeremy Johnson, Carl Vitzthum, Koray Kırlı, Burak H. Alver, and Peter J. Park. "Tibanna: software for scalable execution of portable pipelines on the cloud." Bioinformatics 35, no. 21 (2019): 4424–26. http://dx.doi.org/10.1093/bioinformatics/btz379.

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Abstract Summary We introduce Tibanna, an open-source software tool for automated execution of bioinformatics pipelines on Amazon Web Services (AWS). Tibanna accepts reproducible and portable pipeline standards including Common Workflow Language (CWL), Workflow Description Language (WDL) and Docker. It adopts a strategy of isolation and optimization of individual executions, combined with a serverless scheduling approach. Pipelines are executed and monitored using local commands or the Python Application Programming Interface (API) and cloud configuration is automatically handled. Tibanna is w
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Dissertations / Theses on the topic "Amazon API"

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Ballo, Mattia. "Big data, nosql e machine learning: un'applicazione di prediction e recommendation basata sulle api di Amazon." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9693/.

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In questa tesi sono stati introdotti e studiati i Big Data, dando particolare importanza al mondo NoSQL, approfondendo MongoDB, e al mondo del Machine Learning, approfondendo PredictionIO. Successivamente è stata sviluppata un'applicazione attraverso l'utilizzo di tecnologie web, nodejs, node-webkit e le tecnologie approfondite prima. L'applicazione utilizza l'interpolazione polinomiale per predirre il prezzo di un bene salvato nello storico presente su MongoDB. Attraverso PredictionIO, essa analizza il comportamento degli altri utenti consigliando dei prodotti per l'acquisto. Infine è stata e
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Mendez, Gamboa Jacqueline. "Bena Ani Axeti Xobo Meskokeska Join Yoyoikaibaona: interculturalidade y educación superior cso Universidad Nacional Intercultural de la amazonia Peruana UNIA." reponame:Repositório Institucional da UNILA, 2019. http://dspace.unila.edu.br/123456789/4719.

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Disertación presentada al Programa de Pos- Graduación Interdisciplinar en Estudios Latino-Americanos (PPG-IELA), de la Universidad Federal de Integración Latinoamericana UNILA, como requisito parcial para la obtención de título de Maestra en Estudios Interdisciplinares Latino- Americanos. Orientador: Prof.Dr. Johnny Octavio Obando Morán<br>Submitted by Jacqueline Mendez Gamboa (jacquelinemendezpf@gmail.com) on 2019-02-24T17:24:12Z No. of bitstreams: 1 Dissertao IELA-JacquelineMendezG. 2018..pdf: 2019114 bytes, checksum: e8a35b3a3d81198baf3ec76214466936 (MD5)<br>Made available
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LACERDA, FILHO Jofre Valmório de. "Bloco Rio Apa: origem e evolução tectônica." reponame:Repositório Institucional da CPRM, 2015. http://rigeo.cprm.gov.br/xmlui/handle/doc/15295.

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Submitted by Priscila Ururahy (priscila.ururahy@cprm.gov.br) on 2016-01-13T13:18:06Z No. of bitstreams: 1 TD_LACERDA_FILHO.pdf: 14967123 bytes, checksum: b41c9d524fcd9f0b3e8d3c62989c49de (MD5)<br>Approved for entry into archive by Flasleandro Oliveira (flasleandro.oliveira@cprm.gov.br) on 2016-01-13T17:58:39Z (GMT) No. of bitstreams: 1 TD_LACERDA_FILHO.pdf: 14967123 bytes, checksum: b41c9d524fcd9f0b3e8d3c62989c49de (MD5)<br>Approved for entry into archive by Flasleandro Oliveira (flasleandro.oliveira@cprm.gov.br) on 2016-01-13T17:58:59Z (GMT) No. of bitstreams: 1 TD_LACERDA_FILHO.pdf: 14967123
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Amann, Sven [Verfasser], Mira [Akademischer Betreuer] Mezini, and Andreas [Akademischer Betreuer] Zeller. "A Systematic Approach to Benchmark and Improve Automated Static Detection of Java-API Misuses / Sven Amann ; Mira Mezini, Andreas Zeller." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2018. http://d-nb.info/1162621605/34.

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Igreja, Hérica Martins. "As Unidades de Conservação do Estado do Amazonas: um estudo de caso da APA Caverna do Maroaga." Universidade Federal do Amazonas, 2008. http://tede.ufam.edu.br/handle/tede/4646.

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Submitted by Lúcia Brandão (lucia.elaine@live.com) on 2015-10-15T18:57:27Z No. of bitstreams: 1 Dissertação - Hérica Martins Igreja.pdf: 2297923 bytes, checksum: 2f2fd56e65273192e9cdb324dfa61e78 (MD5)<br>Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2015-10-19T14:26:56Z (GMT) No. of bitstreams: 1 Dissertação - Hérica Martins Igreja.pdf: 2297923 bytes, checksum: 2f2fd56e65273192e9cdb324dfa61e78 (MD5)<br>Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2015-10-19T14:32:59Z (GMT) No.
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Reis, João Rodrigo Leitão dos. "Gerenciamento ambiental de atributos naturais da Área de Proteção Ambiental (APA) Caverna do Maroaga, Presidente Figueiredo/AM." Universidade Federal do Amazonas, 2010. http://tede.ufam.edu.br/handle/tede/2997.

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Made available in DSpace on 2015-04-13T12:17:21Z (GMT). No. of bitstreams: 1 Dissertacao Joao Rodrigo Leitao dos Reis.pdf: 53897281 bytes, checksum: 7225f8d94a0607bee9d3988e31c4c2a9 (MD5) Previous issue date: 2010-03-09<br>FAPEAM - Fundação de Amparo à Pesquisa do Estado do Amazonas<br>The inappropriate use of natural attributes for tourism is the result of the lack of administrative regulation and management measures that make its actual protection possible. This way, the goal of the diagnosis of the natural attributes of the Maroaga Cave Environmental Protection Area (APA) was to map out
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Ali, Sajid [Verfasser], Klaus [Akademischer Betreuer] Reicherter, and Florian [Akademischer Betreuer] Amann. "Mass movements along the Karakoram Highway with a focus on seismically induced mass movements / Sajid Ali ; Klaus Reicherter, Florian Amann." Aachen : Universitätsbibliothek der RWTH Aachen, 2020. http://d-nb.info/1231118032/34.

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Persons, Alexander D. "Oil, settlement, and political ecology of the Ecuadorian Amazon." 1999. http://catalog.hathitrust.org/api/volumes/oclc/45048287.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 1999.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 88-93).
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Unruh, Jon Darrel. "Ecological aspects of swidden-fallow management in the Peruvian Amazon." 1986. http://catalog.hathitrust.org/api/volumes/oclc/15497315.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 1986.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 139-149).
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Rosenblatt, David Louis. "Regional versus federal interests in the development of Brazil's Amazon region." 1992. http://catalog.hathitrust.org/api/volumes/oclc/33002386.html.

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Books on the topic "Amazon API"

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John, Mueller. Mining Amazon web services: Building applications with the Amazon API. Sybex, 2004.

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Tom, Badgett, ed. Official Sega Genesis and Game Gear strategies, 2ND Edition. Bantam Books, 1991.

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Sandler, Corey. Official Sega Genesis and Game Gear strategies, 3RD Edition. Bantam Books, 1992.

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Mining Amazon Web Services: Building Applications with the Amazon API. Wiley & Sons, Incorporated, John, 2006.

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Official Sega Genesis and Game Gear Strategies, '94 Edition. Random House, Electronic Publishing, 1993.

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Book chapters on the topic "Amazon API"

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Beach, Brian. "List of API Methods by Command." In Pro Powershell for Amazon Web Services. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6452-1_15.

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Kim, Kyu Ik, Musa Ibrahim M. Ishag, Myungsic Kim, Jin Suk Kim, and Keun Ho Ryu. "Proposal of a Resource-Monitoring Improvement System Using Amazon Web Service API." In Advances in Computer Science and Ubiquitous Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_171.

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"Amazon AI." In AI & Quantum Computing for Finance & Insurance. WORLD SCIENTIFIC, 2019. http://dx.doi.org/10.1142/9789811203909_0021.

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Nambobi, Mutwalibi, and Kanyana Ruth. "Anticipating Blockchain as Disruptive Technology." In Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4984-1.ch034.

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Today, people are going to senior managers in almost all industries pitching about their “I have a new product” thing. Disruptive technology transforms a differentiated product that was so expensive and sometimes complicated or sophisticated into a simplified implementation with the applicability of APIs. APIs provide a platform where startup companies can be nitrated to a giant and established companies. Secondly, it changes the business ecosystem to suit all kinds of players small or big. In previous years, only major companies with a lot of resources had access to such technologies. This selfish access to new technologies would make such giants flourish like Amazon, eBay, Google. Blockchain is a form of distributed ledger technology gaining significant research devotion in numerous areas cutting across e-commerce, cryptocurrency, cryptography, logistics, security, finance, and now it is gaining grounds in e-commerce, big data, and internet of things. This chapter introduces the concept of blockchain, applications, and benefits it possesses in various fields related to e-commerce.
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"Entrepreneurship and Big Data." In Big Data Analytics for Entrepreneurial Success. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7609-9.ch007.

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The range of possibilities opened up by big data technologies offers companies in all sectors a remarkable opportunity for development and transformation. And if the majorities are convinced of its strategic interest, many are wondering about the implementation of such a project. Today, companies using big data are search engines like Google; social networks like Facebook, Twitter, or LinkedIn; e-commerce websites like eBay, Ali Baba, or Amazon, etc. But, it would be premature to conclude that big data is reserved for large companies only and that they alone can gain added value from its use. Indeed, as the motorist uses the highway without having built it, the commercial or public organizations, whatever their size and their field of interests, will be able to benefit from the use of big data.
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Mansouri, Yaser, and Rajkumar Buyya. "Data Access Management System in Azure Blob Storage and AWS S3 Multi-Cloud Storage Environments." In Handbook of Research on Intrusion Detection Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2242-4.ch007.

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Multi-cloud storage offers better Quality of Service (QoS) such as availability, durability, and users' perceived latency. The exploitation of price differences across cloud-based storage services is a motivate example of storing data in different Geo-graphically data stores, where data migration is also a choice to achieve more cost optimization. However, this requires migrating data in tolerable time from the perspective of users. This chapter first proposes a comprehensive review on different classes of data stores inspiring data migration within and across data stores. Then, it presents the design of a system prototype spanned across storage services of Amazon Web Services (AWS) and Microsoft Azure employing their RESTful APIs to store, retrieve, delete, and migrate data. Finally, the experimental results show that the data migration can be conducted in a few seconds for data with a magnitude of Megabytes.
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Shekau, Abubakar. "Message to President Paul Biya of Cameroon." In The Boko Haram Reader. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190908300.003.0053.

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(5 JANUARY 2015) [Trans.: Abdulbasit Kassim] In this video, Shekau addressed the government and people of Cameroon for the first time. This video was released several months after the President of Cameroon vowed to wipe out Boko Haram, following the abduction and subsequent release of ten foreigners and seventeen Cameroonian hostages, including the wife of Amadou Ali, the country’s deputy prime minister. Shekau here threatens Paul Biya with a fate like his Nigerian counterpart....
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"India: Walmart, Amazon, Alibaba, and Tencent in India: WHAT the Hell is Going on?" In AI & Quantum Computing for Finance & Insurance. WORLD SCIENTIFIC, 2019. http://dx.doi.org/10.1142/9789811203909_0010.

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Ahuja, Sanjay P., Thomas F. Furman, Kerwin E. Roslie, and Jared T. Wheeler. "System Benchmarking on Public Clouds." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8676-2.ch004.

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There are several public cloud providers that provide service across different cloud models such as IaaS, PaaS, and SaaS. End users require an objective means to assess the performance of the services being offered by the various cloud providers. Benchmarks have typically been used to evaluate the performance of various systems and can play a vital role in assessing performance of the different public cloud platforms in a vendor neutral manner. Amazon's EC2 Service is one of the leading public cloud service providers and offers many different levels of service. The research in this chapter focuses on system level benchmarks and looks into evaluating the memory, CPU, and I/O performance of two different tiers of hardware offered through Amazon's EC2. Using three distinct types of system benchmarks, the performance of the micro spot instance and the M1 small instance are measured and compared. In order to examine the performance and scalability of the hardware, the virtual machines are set up in a cluster formation ranging from two to eight nodes. The results show that the scalability of the cloud is achieved by increasing resources when applicable. This chapter also looks at the economic model and other cloud services offered by Amazon's EC2, Microsoft's Azure, and Google's App Engine.
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Ramamurthy, Bina. "Securing Business IT on the Cloud." In Cloud Technology. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6539-2.ch094.

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In this chapter, the author examines the various approaches taken by the popular cloud providers Amazon Web Services (AWS), Google App Engine (GAE), and Windows Azure (Azure) to secure the cloud. AWS offers Infrastructure as a Service model, GAE is representative of the Software as a Service, and Azure represents the Platform as a Service model. Irrespective of the model, a cloud provider offers a variety of services from a simple large-scale storage service to a complete infrastructure for supporting the operations of a modern business. The author discusses some of the security aspects that a cloud customer must be aware of in selecting a cloud service provider for their needs. This discussion includes the major threats posed by multi-tenancy in the cloud. Another important aspect to consider in the security context is machine virtualization. Securing these services involves a whole range of measures from access-point protection at the client end to securing virtual co-tenants on the same physical machine hosted by a cloud. In this chapter, the author highlights the major offerings of the three cloud service providers mentioned above. She discusses the details of some important security challenges and solutions and illustrates them using screen shots of representative security configurations.
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Conference papers on the topic "Amazon API"

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Gong, Xueluan, Yanjiao Chen, Wenbin Yang, Guanghao Mei, and Qian Wang. "InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/336.

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Cloud service providers, including Google, Amazon, and Alibaba, have now launched machine-learning-as-a-service (MLaaS) platforms, allowing clients to access sophisticated cloud-based machine learning models via APIs. Unfortunately, however, the commercial value of these models makes them alluring targets for theft, and their strategic position as part of the IT infrastructure of many companies makes them an enticing springboard for conducting further adversarial attacks. In this paper, we put forth a novel and effective attack strategy, dubbed InverseNet, that steals the functionality of blac
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Sennyey, Pongrácz, and Károly Kokas. "Digitális ökoszisztéma a könyvtár katalógusból? Egy texas-i könyvtári kísérlet és tanulságai." In Networkshop. HUNGARNET Egyesület, 2020. http://dx.doi.org/10.31915/nws.2020.2.

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SORIN (Search Organize Research and Interact) is a cloud based research workflowplatform that uses APIs to leverage the Alma-Primo catalog system to a custom madeuser interface. SORIN allows researchers to build collections, annotate items, attachedfiles, and export their contents into Google Drive (see https://library.stedwards.edu/). Developed at the Saint Edward’s University library, SORIN has been in use for thepast three years. It is built on Phoenix and, through Rest APIs its central PostgreSQLdatabase is linked to an optional React front end. In its current version, it uses Googlefor au
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Nowakowski, Jakub, and Maria L. Ekiel-Jezewska. "Poster: Experiments with heavy particles in a viscous fluid: amazing oscillations." In 67th Annual Meeting of the APS Division of Fluid Dynamics. American Physical Society, 2014. http://dx.doi.org/10.1103/aps.dfd.2014.gfm.p0061.

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Zing, Carlos, and Shadi Mahjoob. "Numerical Analysis of Thermal Transport in Nano Fluidic Porous Filled Heat Exchangers for Electronics Cooling." In ASME 2017 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ht2017-4966.

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The exponential growth in electronic power has brought amazing technology but with it also comes a burden in high heat production that threatens the safety of the product since electronics’ failure rate increases by its operating temperature. As such, cooling techniques have a key role to keep the temperature of electronics devices, such as processors, memory and graphics chips, below a maximum operating temperature. In this work, a porous filled heat exchanger has been numerically modeled to investigate the cooling effectiveness and temperature distribution on the base of the heat exchanger s
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"Changing Paradigms of Technical Skills for Data Engineers." In InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4001.

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Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] This paper investigates the new technical skills that are needed for Data Engineering. Past research is compared to new research which creates a list of the 20 top tech-nical skills required by a Data Engineer. The growing availability of Data Engineering jobs is discussed. The research methodology describes the gathering of sample data and then the use of Pig and MapReduce on AWS (Amazon Web Services) to count occurrences of Data En
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Reports on the topic "Amazon API"

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Gelles, Rebecca, Tim Hwang, and Simon Rodriguez. Mapping Research Agendas in U.S. Corporate AI Laboratories. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200037.

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Leading U.S. companies are investing in the broad research field of artificial intelligence (AI), but where, specifically, are they making these investments? This data brief provides an analysis of the research papers published by Amazon, Apple, Facebook, Google, IBM, and Microsoft over the past decade to better understand what work their labs are prioritizing, and the degree to which these companies have similar or different research agendas overall. The authors find that major “AI companies” are often focused on very different subfields within AI, and that the private sector may be failing t
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