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Security in Cloud Computing a Security Assessment of Cloud Computing Providers for an Online Receipt Storage
Security in Cloud Computing A Security Assessment of Cloud Computing Providers for an Online Receipt Storage Mats Andreassen Kåre Marius Blakstad Master of Science in Computer Science Submission date: June 2010 Supervisor: Lillian Røstad, IDI Norwegian University of Science and Technology Department of Computer and Information Science Problem Description We will survey some current cloud computing vendors and compare them to find patterns in how their feature sets are evolving. The start-up firm dSafe intends to exploit the promises of cloud computing in order to launch their business idea with only marginal hardware and licensing costs. We must define the criteria for how dSafe's application can be sufficiently secure in the cloud as well as how dSafe can get there. Assignment given: 14. January 2010 Supervisor: Lillian Røstad, IDI Abstract Considerations with regards to security issues and demands must be addressed before migrating an application into a cloud computing environment. Different vendors, Microsoft Azure, Amazon Web Services and Google AppEngine, provide different capabilities and solutions to the individual areas of concern presented by each application. Through a case study of an online receipt storage application from the company dSafe, a basis is formed for the evaluation. The three cloud computing vendors are assessed with regards to a security assessment framework provided by the Cloud Security Alliance and the application of this on the case study. Finally, the study is concluded with a set of general recommendations and the recommendation of a cloud vendor. This is based on a number of security as- pects related to the case study’s existence in the cloud. -
Striking Balance Between Tradition and Passion in Amulya Malladi's
The International journal of analytical and experimental modal analysis ISSN NO: 0886-9367 Striking Balance between Tradition and Passion in Amulya Malladi’s The Mango Season. A. Sophia Mary, Ph.d, Research Scholar, Department of English, Sri Sarada College for Women (Autonomous), Salem– 16. E-mail ID: [email protected] Abstract Amulya Malladi is a diasporic Indian writer in English and she is very famous for her seven novels namely A Breath of Fresh Air (2002), The Mango Season (2003), Serving Crazy with Curry (2004), Song of the Cuckoo Bird (2005), The Sound of Language (2007), A House for Happy Mothers (2016) and The Copenhagen Affair (2017). She received her bachelor degree in Electronics Engineering from Osmania University, Hyderabad India and master degree in Journalism from the University of Memphis, Tennessee, United States. Her novels have been translated into many languages like Dutch, German, Spanish, Danish, Romanian, Serbian and Tamil. Literature is an artistic creation especially in a written form with high and lasting merits. Although there are various literatures globally, the Indian writing in English has its unique taste among the readers. It is an amalgam of multilingual, multicultural and socio-historical themes. They are the exquisite creations of the Indian writers in English language. It also includes the works of the Indian diasporic writers. Malladi’s novels mainly focus on misunderstanding between two generations, changing status of women, family tension, conflict between modernity and traditional values, elusive nature of mind, etc. The Mango season is a dramatic portrayal of a modern young woman Priya, who must ultimately decide between the dogmatic tradition and heartfelt emotions. -
Amazon Dynamodb
Dynamo Amazon DynamoDB Nicolas Travers Inspiré de Advait Deo Vertigo N. Travers ESILV : Dynamo Amazon DynamoDB – What is it ? • Fully managed nosql database service on AWS • Data model in the form of tables • Data stored in the form of items (name – value attributes) • Automatic scaling ▫ Provisioned throughput ▫ Storage scaling ▫ Distributed architecture • Easy Administration • Monitoring of tables using CloudWatch • Integration with EMR (Elastic MapReduce) ▫ Analyze data and store in S3 Vertigo N. Travers ESILV : Dynamo Amazon DynamoDB – What is it ? key=value key=value key=value key=value Table Item (64KB max) Attributes • Primary key (mandatory for every table) ▫ Hash or Hash + Range • Data model in the form of tables • Data stored in the form of items (name – value attributes) • Secondary Indexes for improved performance ▫ Local secondary index ▫ Global secondary index • Scalar data type (number, string etc) or multi-valued data type (sets) Vertigo N. Travers ESILV : Dynamo DynamoDB Architecture • True distributed architecture • Data is spread across hundreds of servers called storage nodes • Hundreds of servers form a cluster in the form of a “ring” • Client application can connect using one of the two approaches ▫ Routing using a load balancer ▫ Client-library that reflects Dynamo’s partitioning scheme and can determine the storage host to connect • Advantage of load balancer – no need for dynamo specific code in client application • Advantage of client-library – saves 1 network hop to load balancer • Synchronous replication is not achievable for high availability and scalability requirement at amazon • DynamoDB is designed to be “always writable” storage solution • Allows multiple versions of data on multiple storage nodes • Conflict resolution happens while reads and NOT during writes ▫ Syntactic conflict resolution ▫ Symantec conflict resolution Vertigo N. -
Performance at Scale with Amazon Elasticache
Performance at Scale with Amazon ElastiCache July 2019 Notices Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its affiliates, suppliers or licensors. AWS products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. © 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved. Contents Introduction .......................................................................................................................... 1 ElastiCache Overview ......................................................................................................... 2 Alternatives to ElastiCache ................................................................................................. 2 Memcached vs. Redis ......................................................................................................... 3 ElastiCache for Memcached ............................................................................................... 5 Architecture with ElastiCache for Memcached ............................................................... -
Introducing Amazon RDS for Aurora Chris Littlefield, AWS Certified Solutions Architect – Associate Level, AWS Certified Sysops Administrator – Associate Level
Expert Reference Series of White Papers Introducing Amazon RDS for Aurora 1-800-COURSES www.globalknowledge.com Introducing Amazon RDS for Aurora Chris Littlefield, AWS Certified Solutions Architect – Associate Level, AWS Certified SysOps Administrator – Associate Level Introduction The following document provides an overview of one of the latest offerings from cloud leader Amazon Web Services (AWS). It’s a product that will enable powerful, massively scalable relational databases in Amazon’s cloud environment. The product was designed, built, and tested in secret over the past three years, and now it is nearly ready for production workloads. Some of its detailed design remains confidential, so we’ll present the released features and functionality, as well as pricing for this exciting new product. Background In November 2014, at Amazon Web Services’ annual conference re:Invent, Andy Jassy introduced a series of revolutionary new products. Among those new products is the product described in this paper, which is based on AWS’s hugely successful Relational Database Service (RDS). So what’s this new product, you ask? It’s Amazon Aurora for RDS. Aurora is MySQL compatible database solution that will enable highly scalable databases running across multiple AWS availability zones, at a very low price point. It’s designed to deliver the performance and availability of commercial grade databases at the simplicity and price point of open source databases. What is Amazon Aurora? Aurora is a MySQL compatible database engine that far exceeds the current size limitations of relational databases running on RDS. It spans three AWS availability zones within a region. The great news is that if you already use or are familiar with RDS, you’re already going to be comfortable configuring Aurora. -
Rose Gardner Mysteries
JABberwocky Literary Agency, Inc. Est. 1994 RIGHTS CATALOG 2019 JABberwocky Literary Agency, Inc. 49 W. 45th St., 12th Floor, New York, NY 10036-4603 Phone: +1-917-388-3010 Fax: +1-917-388-2998 Joshua Bilmes, President [email protected] Adriana Funke Karen Bourne International Rights Director Foreign Rights Assistant [email protected] [email protected] Follow us on Twitter: @awfulagent @jabberworld For the latest news, reviews, and updated rights information, visit us at: www.awfulagent.com The information in this catalog is accurate as of [DATE]. Clients, titles, and availability should be confirmed. Table of Contents Table of Contents Author/Section Genre Page # Author/Section Genre Page # Tim Akers ....................... Fantasy..........................................................................22 Ellery Queen ................... Mystery.........................................................................64 Robert Asprin ................. Fantasy..........................................................................68 Brandon Sanderson ........ New York Times Bestseller.......................................51-60 Marie Brennan ............... Fantasy..........................................................................8-9 Jon Sprunk ..................... Fantasy..........................................................................36 Peter V. Brett .................. Fantasy.....................................................................16-17 Michael J. Sullivan ......... Fantasy.....................................................................26-27 -
The Intellectual Functions of Gothic Fiction
University of New Hampshire University of New Hampshire Scholars' Repository Doctoral Dissertations Student Scholarship Spring 1977 FEARFUL QUESTIONS, FEARFUL ANSWERS: THE INTELLECTUAL FUNCTIONS OF GOTHIC FICTION PAUL LEWIS Follow this and additional works at: https://scholars.unh.edu/dissertation Recommended Citation LEWIS, PAUL, "FEARFUL QUESTIONS, FEARFUL ANSWERS: THE INTELLECTUAL FUNCTIONS OF GOTHIC FICTION" (1977). Doctoral Dissertations. 1160. https://scholars.unh.edu/dissertation/1160 This Dissertation is brought to you for free and open access by the Student Scholarship at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. INFORMATION TO USERS This material was produced from a microfilm copy of the original document. While the most advanced technological means to photograph and reproduce this document have been used, the quality is heavily dependent upon the quality of the original submitted. The following explanation of techniques is provided to help you understand markings or patterns which may appear on this reproduction. 1.The sign or “target" for pages apparently lacking from the document photographed is "Missing Page(s)". If it was possible to obtain the missing page(s) or section, they are spliced into the film along with adjacent pages. This may have necessitated cutting thru an image and duplicating adjacent pages to insure you complete continuity. 2. When an image on the film is obliterated with a large round black mark, it is an indication that the photographer suspected that the copy may have moved during exposure and thus cause a blurred image. -
Special Issue 4 April 2018 E-ISSN: 2456-5571
BODHI International Journal of Research in Humanities, Arts and Science An Online, Peer reviewed, Refereed and Quarterly Journal Vol: 2 Special Issue: 4 April 2018 E-ISSN: 2456-5571 UGC approved Journal (J. No. 44274) CENTRE FOR RESOURCE, RESEARCH & PUBLICATION SERVICES (CRRPS) www.crrps.in | www.bodhijournals.com BODHI BODHI International Journal of Research in Humanities, Arts and Science (ISSN: 2456-5571) is online, peer reviewed, Refereed and Quarterly Journal, which is powered & published by Center for Resource, Research and Publication Services, (CRRPS) India. It is committed to bring together academicians, research scholars and students from all over the world who work professionally to upgrade status of academic career and society by their ideas and aims to promote interdisciplinary studies in the fields of humanities, arts and science. The journal welcomes publications of quality papers on research in humanities, arts, science. agriculture, anthropology, education, geography, advertising, botany, business studies, chemistry, commerce, computer science, communication studies, criminology, cross cultural studies, demography, development studies, geography, library science, methodology, management studies, earth sciences, economics, bioscience, entrepreneurship, fisheries, history, information science & technology, law, life sciences, logistics and performing arts (music, theatre & dance), religious studies, visual arts, women studies, physics, fine art, microbiology, physical education, public administration, philosophy, political sciences, psychology, population studies, social science, sociology, social welfare, linguistics, literature and so on. Research should be at the core and must be instrumental in generating a major interface with the academic world. It must provide a new theoretical frame work that enable reassessment and refinement of current practices and thinking. This may result in a fundamental discovery and an extension of the knowledge acquired. -
Amazon Documentdb Deep Dive
DAT326 Amazon DocumentDB deep dive Joseph Idziorek Antra Grover Principal Product Manager Software Development Engineer Amazon Web Services Fulfillment By Amazon © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda What is the purpose of a document database? What customer problems does Amazon DocumentDB (with MongoDB compatibility) solve and how? Customer use case and learnings: Fulfillment by Amazon What did we deliver for customers this year? What’s next? © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Purpose-built databases Relational Key value Document In-memory Graph Search Time series Ledger Why document databases? Denormalized data Normalized data model model { 'name': 'Bat City Gelato', 'price': '$', 'rating': 5.0, 'review_count': 46, 'categories': ['gelato', 'ice cream'], 'location': { 'address': '6301 W Parmer Ln', 'city': 'Austin', 'country': 'US', 'state': 'TX', 'zip_code': '78729'} } Why document databases? GET https://api.yelp.com/v3/businesses/{id} { 'name': 'Bat City Gelato', 'price': '$', 'rating': 5.0, 'review_count': 46, 'categories': ['gelato', 'ice cream'], 'location': { 'address': '6301 W Parmer Ln', 'city': 'Austin', 'country': 'US', 'state': 'TX', 'zip_code': '78729'} } Why document databases? response = yelp_api.search_query(term='ice cream', location='austin, tx', sort_by='rating', limit=5) Why document databases? for i in response['businesses']: col.insert_one(i) db.businesses.aggregate([ { $group: { _id: "$price", ratingAvg: { $avg: "$rating"}} } ]) db.businesses.find({ -
Is Amazon the Next Google?
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Budzinski, Oliver; Köhler, Karoline Henrike Working Paper Is Amazon the next Google? Ilmenau Economics Discussion Papers, No. 97 Provided in Cooperation with: Ilmenau University of Technology, Institute of Economics Suggested Citation: Budzinski, Oliver; Köhler, Karoline Henrike (2015) : Is Amazon the next Google?, Ilmenau Economics Discussion Papers, No. 97, Technische Universität Ilmenau, Institut für Volkswirtschaftslehre, Ilmenau This Version is available at: http://hdl.handle.net/10419/142322 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially -
AWS Certified Developer – Associate (DVA-C01) Sample Exam Questions
AWS Certified Developer – Associate (DVA-C01) Sample Exam Questions 1) A company is migrating a legacy application to Amazon EC2. The application uses a user name and password stored in the source code to connect to a MySQL database. The database will be migrated to an Amazon RDS for MySQL DB instance. As part of the migration, the company wants to implement a secure way to store and automatically rotate the database credentials. Which approach meets these requirements? A) Store the database credentials in environment variables in an Amazon Machine Image (AMI). Rotate the credentials by replacing the AMI. B) Store the database credentials in AWS Systems Manager Parameter Store. Configure Parameter Store to automatically rotate the credentials. C) Store the database credentials in environment variables on the EC2 instances. Rotate the credentials by relaunching the EC2 instances. D) Store the database credentials in AWS Secrets Manager. Configure Secrets Manager to automatically rotate the credentials. 2) A Developer is designing a web application that allows the users to post comments and receive near- real-time feedback. Which architectures meet these requirements? (Select TWO.) A) Create an AWS AppSync schema and corresponding APIs. Use an Amazon DynamoDB table as the data store. B) Create a WebSocket API in Amazon API Gateway. Use an AWS Lambda function as the backend and an Amazon DynamoDB table as the data store. C) Create an AWS Elastic Beanstalk application backed by an Amazon RDS database. Configure the application to allow long-lived TCP/IP sockets. D) Create a GraphQL endpoint in Amazon API Gateway. Use an Amazon DynamoDB table as the data store. -
SUSPENSE MAGAZINE February 2015 / Vol
Suspense, Mystery, Horror and Thriller Fiction FEBRUARY 2015 WHO'S INSIDE JENNIFER HILLIER SOPHIE LITTLEFIELD DENNIS PALUMBO MATTHEW REILLY PHILLIP MARGOLIN MICHAEL CONNELLY JAMES ROLLINS & REBECCA CANTRELL From the Editor CREDITS John Raab The first letter from the editor in the New Year President & Chairman is always the toughest to write. I didn’t know if I should talk about trends coming up or about new Shannon Raab Creative Director releases from some great authors, so I decided to go a different route. Romaine Reeves CFO I found myself thinking about authors who write series novels, and how I would like to see Amy Lignor some of them take a different direction this year— Editor maybe not write about their main character, but Jim Thomsen step outside of the “norm” in order to give the Copy Editor reader a fresh story. I’ve said for several years that Contributors while I love to read series novels, I think my real passion is the standalone. There is Mark P. Sadler something in having to sit down in front of a computer, looking at a blank canvas, and Susan Santangelo having to create a tale from scratch. With a series character, half of the story has already DJ Weaver CK Webb been written; the author just needs to fill in the blanks with the plot. Kiki Howell I’ve talked with several authors and a lot of them seem handcuffed by publishing Kaye George Weldon Burge issues or the popularity of their character that they simply can’t step outside that formula.