Thursday, February 2, 2012

Mobile- und Cloud-Computing unter besonderer Betrachtung der Technologien der US amerikanischen Unternehmenen Google Inc. und Inc. und der deutschen SAP AG

Mobile- und Cloud-Computing unter besonderer Betrachtung der Technologien der US‑amerikanischen Unternehmen Google Inc. und Inc. und der deutschen SAP AG
Mobile- and Cloud-Computing with special regard to technologies of the American companies Google Inc. and Inc. and the German SAP AG

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Publisher: BookBoon, ISBN 978-87-403-0264-6, 129 Pages

In dieser Projektarbeit werden die Themen Mobile-und Cloud-Computing unter spezieller Berücksichtigung der Technologien der Unternehmen Google Inc., im folgenden Google genannt, Inc., im folgenden Amazon genannt, und der SAP AG, im folgenden SAP genannt, evaluiert. Diese Evaluierung soll einem Unternehmen als Blueprint dienen, um so die Unternehmensprozesse mit den genannten Technologien umsetzen zu können. Das Unternehmen erhofft sich dadurch eine Effizenzsteigerung durch Automatisierung, Flexibilisierung, Skalierung und Benutzerfreundlichkeit. Der Autor verbindet in dieser Arbeit verschiedenste Technologien und gibt subjektive Empfehlungen für die Nutzung der jeweiligen Technologie ab. Die Themen Mobile Computing und Cloud Computing werden zunächst seperat dargestellt. Im Anschluss zeigt Kapitel 4 wie beide Welten zusammenwirken und welche Rolle etablierte Technologien spielen. Zudem wird auf das aktuelle Thema In-Memory Computing eingegangen und dargestellt wie es sich in das Mobile- und Cloud-Computing Ökosystem eingliedert.

This project assignment evaluates and presents the topics Mobile- and Cloud-Computing with special regard to the technologies of the companies Google Inc. (Google), Inc. (Amazon) and SAP AG (SAP). The evaluation should serve as a blueprint for a company to implement business processes with the mentioned technologies. By using these technologies the company tries to increase its efficiency via automation, flexibilisation, scaling and usability. The author of this paper combines different technologies and gives subjective advices regarding the use of a particular technology. First the topics Mobile Computing and Cloud Computing will be shown separately. Afterwards chapter 4 will show how both technologies interoperate and the meaning of legacy technologies. Furthermore, In-Memory Computing will be explained and how it fits in the ecosystem of Mobile- and Cloud-Computing.

Mobile Computing, Cloud Computing, In-Memory Computing, Google, Amazon, SAP, Android, iOS, BlackBerry BBX, NFC, LBS, Adobe, Flash, Flex, Windows Phone 7, WP7, Sybase, SUP, Sybase Unwired Platform, SAP NetWeaver Gateway, SAP NetWeaver Mobile, SAP ITSmobile, Mobile-WebApp, Hybrid-NativeApp, Purely-NativeApp, HTML5, JavaScript, CSS3, Dart, Coffeescript, jQueryMobile, jQM, jqMobi, jQTouch, sencha touch, iUI, iWebKit, Dojo Mobile, Jo, iScroll, Ajax, Comet, Streaming, Long-Polling, XHR, XHR2, Polling, Piggyback-Polling, WebSocket, Socket.IO, Athmosphere, CometD, Kaazing, Kaazing WebSocket Gateway, Native Frameworks, Briding Frameworks, PhoneGap, Titanium, Rhodes, IaaS, PaaS, DaaS, SaaS, FaaS, HuaaS, MoaaS, Virtualisierung, Skalierung, Scale-out, Scale-up, SOA, SOAP, REST, Messaging, SQS, SNS, AMQP, JMS, RabbitMQ, Qpid, ActiveMQ, HornetQ, CAP, ACID, BASE, Map, Reduce, BigTable, Dynamo, Wide-Column-Store, Row-oriented, Column-oriented, Key-Value-Store, Graph-Store, Document-Store, CouchDB, MongoDB, HBase, Cassandra, SimpleDB, Redis, Riak, Neo4J, Replizierung, Big Data, Schema-free, Sharding, MVCC, Consistent-Hashing, EC2, EBS, S3, ElastiCache, RDS, Cloud Front, Elastic Beanstalk, Cloud SQL, Cloud Storage, C2DM, App Engine, GAE, Page Speed Service, Akamai, River, OpenShift, NetSuite,, Cloud Foundry, CloudBees, Heroku, Oracle Cloud Service, Oracle Public Cloud, Database Cloud Service, Java, Scala, Ceylon, Kotlin, Groovy, JSON, NoSQL, Node.js, Node, Asynchron, Event-Driven, Non-Blocking, NIO, Event-Loop, Nginx, Android-Couchbase, 2-Tier, 3-Tier, Java EE 5, Java EE 6, JSF, Ruby on Rails, Wicket, GWT, SanssouciDB, SAP HANA, OLTP, OLAP, IMDB

Big thanks to all the proof readers!
Your feedback is welcome!


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      Cheers Alex

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