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In this paper we describe the selection of a modern build automation tool for an industry research partner of ours, namely an insurance company. Build automation has become increasingly important over the years. Today, build automation became one of the central concepts in topics such as cloud native development based on microservices and DevOps. Since more and more products for build automation have entered the market and existing tools have changed their functional scope, there is nowadays a large number of tools on the market that differ greatly in their functional scope. Based on requirements from our partner company, a build server analysis was conducted. This paper presents our analysis requirements, a detailed look at one of the examined tools and a summarizes our comparison of all three tools from our final comparison round.

Hadoop is a Java-based open source programming framework, which supports the processing and storage of large volumes of data sets in a distributed computing environment. On the other hand, an overwhelming majority of organizations are moving their big data processing and storing to the cloud to take advantage of cost reduction – the cloud eliminates the need for investing heavily in infrastructures, which may or may not be used by organizations. This paper shows how organizations can alleviate some of the obstacles faced when trying to make Hadoop run in the cloud.

In this paper various techniques in relation to large-scale systems are presented. At first, explanation of large-scale systems and differences from traditional systems are given. Next, possible specifications and requirements on hardware and software are listed. Finally, examples of large-scale systems are presented., {"references":["D. Masak, \"SOA?: Serviceorientierung in Business und Software\" Springer, 2007.","S. Edlich, A. Friedland, J. Hampe, B. Brauer, \"NoSQL - Einstieg in die Welt nichtrelationaler Web 2.0 Datenbanken 2010\", Hanser, 2007.","F. Chang, J. Dean, S. Ghemawat, W. Hsieh, D. Wallach, M. Burrows, T. Chandra, A. Fike, R. Gruber, \"Bigtable: A Distributed Storage System for Structured Data\", Goole Inc., 2006.","http://www.oser.org/~hp/bsyII/node6.html, \"Skalierbarkeit\", 2007.","http://blog.namics.com/2009/05/skalierbare-dat.htm, \"Skalierbare Datenbanksysteme: ACID versus BASE\", 2009.","http://nosql-database.org/, \"NoSQL - Your Ultimate Guide to the Non - Relational Universe!\", 2011.","http://www.heise.de/open/artikel/NoSQL-im-Ueberblick-1012483.html, \"NoSQL im Überblick\", 2010.","http://www.gi.de/service/informatiklexikon/informatiklexikon-detailansicht/meldung/spaltenorientierte-datenbanken-267.html, \"Spaltenorientierte Datenbanken\", 2010.","http://eliteinformatiker.de/2011/05/18/nosql-document-store-couchdb-mongodb/, \"NoSQL: Dokumentenorientierte Datenbanken (CouchDB, MongoDB)\", 2011.\n[10]\tCloud Computing: Web-basierte dynamische IT-Services (Informatik im Fokus) , 2. Auflage, Springer ,ISBN 978-3-642-18435-2.\n[11]\t\"Scaling memcached at Facebook\", Paul Saab, December 2008, Facebook Engineering, http://www.facebook.com/ note.php?note_id=39391378919.\n[12]\tOliver Fischer, \"MapReduce: Programmiermodell und Framework\", April 2010, http://www.heise.de/developer/artikel/Programmiermodell-und-Framework-964823.html.\n[13]\t\"Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing\", http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html, 2010.\n[14]\tRichard P. Gabriel, \"Can't Be Built\" IBM Research, 2007.\n[15]\tEeles2008, Peter Eeles, Presentaion on \"Architecting Large-Scale Systems, IBM, 2008.\n[16]\tPaul Saab, \"Scaling memcached at Facebook\", 2008, via Facebook.com\n[17]\tBrad Fitzpatrick , \"Distributed Caching with Memcached\", 2004, on http://www.linuxjournal.com/article/7451?page=0,1.\n[18]\tRealtime Hadoop usage at Facebook: The Complete Story, Dhruba Borthakur, http://hadoopblog.blogspot.com/search/label/ hadoop%20and%20facebook.\n[19]\tSanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung,\" The Google File System\", Google Coorp., 2003.\n[20]\tFacebook: Science and the social Graph, Aditya Agarwal, May 2009, http://www.infoq.com/presentations/Facebook-Software-Stack.\n[21]\tAmazonStatistics; Jeff Barr, \"Amazon S3 Blog\" July 2011 http://aws.typepad.com/aws/2011/07/amazon-s3-more-than-449-billion-objects.html."]}

The main purpose of this paper was to find a simple solution for load balancing and fault tolerance in OSGi. The challenge was to implement a highly available web application such as a shopping cart system with load balancing and fault tolerance, without having to change the core of OSGi., {"references":["Ahn, H., Oh, H., Hong, J.: Towards Reliable OSGi Operating Framework and Applications. In: Journal of Information Science and Engineering (2007), Nr. 5, 1379-1390.","OSGi Alliance: OSGi – The Dynamic Module System for Java. Last accessed: January 2014, http://www.osgi.org.","Koschel, A., Schneider, T., Westhuis, J., Westerkamp, J., Astrova, I., Roelofsen, R.: Providing Load Balancing and Fault Tolerance in the OSGi Service Platform. In: Mathematical Methods and Techniques in Engineering & Environmental Science (2011), 426-430.","Comunity, Pax-Runner: Pax-Runner. online. http://wiki.ops4j.org /display/paxrunner/Pax+Runner.","Schlossnagle, T.: Scalable Internet Architectures. Sams Indianapolis, IN, USA, 2006.","Torrao, C.: Fault Tolerance in the OSGi Service Platform. Last accessed: January 2014, http://www.gsd.inesc-id.pt/~ler/reports/ carlostorrao-midterm.pdf.","Maragkos, D.: Replication and Migration of OSGi Bundles in the Virtual OSGi Framework. Last accessed: January 2014, http://e-collection.ethbib.ethz.ch/eserv/eth: 30549/eth-30549-01.pdf.","Papageorgiou, D.: The Virtual OSGi Framework. 2008."]}

In this paper, five ontologies are described, which include the event concepts. The paper provides an overview and comparison of existing event models. The main criteria for comparison are that there should be possibilities to model events with stretch in the time and location and participation of objects; however, there are other factors that should be taken into account as well. The paper also shows an example of using ontologies in complex event processing., {"references":["Cycorp, Inc. http://cyc.com. (Online; 15.04.2011).","Harmony project. http://metadata.net/harmony/. (Online; 15.04.2011).","LODE ontology. http://linkedevents.org/ontology/. (Online; 15.04.2011).","OpenCyc.org. http://opencyc.org/. (Online; 15.04.2011).","DOLCE Laboratory for Applied Ontology. http://dolce.semanticweb.org/, May 2011.","Protege Homepage. http://protege.stanford.edu/, June 2011.","University of Koblenz-Landau. http://www.uni-koblenzlandau.de/ koblenz/fb4/AGStaab/Research/ontologies/events, May 2011.","Weknowit Projekt Homepage. http://www.weknowit.eu/, June 2011.","5th International Conference. Lecture Notes in Computer Science / Theoretical Computer Sci. Hualien, Taiwan, May 2010.\n[10]\tS. Ansgar, F. Thomas, S. Carsten, and S. Steffen. FA Model of Events based on the Foundational Ontology DOLCE+DnS Ultralite. September 2009.\n[11]\tD. Brickley. W3C Semantic Web Interest Group: Basic Geo (WGS84 lat/long) Vocabulary. http://www.w3.org/2003/01/geo/. (Online; 24.06.2011).\n[12]\tD. Brickley, J. Hunter, and C. Lagoze. Abc: A logical model for metadata interoperability, harmony project. 1999.\n[13]\tK. Chandly and W. Schulte. Event Processing: Designing IT Systems for Agile Companies. 2009.\n[14]\tM. Croitoru, S. Ferr´e, and D. Lukose(Eds.). Conceptual Structures: From Information to Intelligence. Springer, Berlin Heidelberg New York, 2010.\n[15]\tCycorp,Inc. Actor Slot. http://www.cyc.com/doc/tut/ DnLoad/TimeAndDates.pdf. (Online; 15.04.2011).\n[16]\tCycorp,Inc. Actor Slot. http://www.cyc.com/doc/tut/ DnLoad/ActorSlots.pdf. (Online; 15.04.2011).\n[17]\tCycorp,Inc. Actor Slot. http://www.cyc.com/doc/tut/ DnLoad/SubEvents.pdf. (Online; 15.04.2011).\n[18]\tCycorp,Inc. Actor Vocabulary. http://www.cyc.com/cycdoc/vocab/actor-vocab.html. (Online; 15.04.2011).\n[19]\tCycorp,Inc. Event Types. http://www.cyc.com/doc/tut/ DnLoad/EventTypes.pdf. (Online; 15.04.2011).\n[20]\tCycorp,Inc. Events in Cyc. http://www.cyc.com/doc/tut/ DnLoad/EventsInCyc.pdf. (Online; 15.04.2011).\n[21]\tCycorp,Inc. Roles and Event Predicates. http://www.cyc.com/doc/tut/ DnLoad/RolesAndEventPredicates.pdf. (Online; 15.04.2011).\n[22]\tA. Fialho, R. Troncy, L. Hardman, C. Saatho, and A. Scherp. What's on this evening? designing user support for event-based annotation and exploration of media. Athens, Greece, May 2010.\n[23]\tT. R. Gruber. A translation approach to portable ontology specification. Knowledge Acquisition, pages 199–220, April 1993.\n[24]\tJ. R. Hobbs and F. Pan. Time OWL Ontology. http://www.w3.org/TR/owl-time/. (Online; 24.06.2011).\n[25]\tJ. Hunter. Enhancing the semantic interoperability of multimedia through a core ontology. IEEE Transactions on Circuits and Systems for Video Technology, 13:49–58, 2003.\n[26]\tC. Lagoze and J. Hunter. The abc ontology and model. pages 160–176, 2001.\n[27]\tC. Maa and G. Gernot. Suchmaschinen und Informationsqualit ¨at: Status quo, Problemfelder, Entwicklungstendenzen. In K. Hildebrand, M. Mielke, M. Gebauer, and H. Hinrichts, editors, Daten- und Informationsqualitt: Auf dem Weg zur Information Excellence, pages 157–171. Vieweg+Teubner Verlag, 2008.\n[28]\tR. Poli, M. Healy, and A. Kameas. Theory and Applications of Ontology: Computer Applications. Springer, Dordrecht Heidelberg London New York, 2010.\n[29]\tY. Raimond and S. Abdallah. Event Ontology. http://motools.sf.net/ event/event.122.html. (Online; 24.06.2011).\n[30]\tY. Raimond and S. Abdallah. Timeline Ontology. http://motools. sourceforge.net/timeline/timeline.html. (Online; 24.06.2011).\n[31]\tH. Sack. Ontologien. January 2006.\n[32]\tR. Shaw, R. Troncy, and L. Hardman. Lode: Linking open descriptions of events. In A. Gomez-Perez, Y. Yu, and Y. Ding, editors, The Semantic Web, volume 5926 of Lecture Notes in Computer Science, pages 153–167. Springer Berlin / Heidelberg, 2009.\n[33]\tA. Tacke. Taxonomien & Ontologien. 2008.\n[34]\tK. Teymourian. Semantic Complex Event Processing. September 2010.\n[35]\tVincent, P. Paul, B. Adrian, and Harold. Semantic Complex Event Processing. July 2010.\n[36]\tW. Wang, W. Guo, X. W. Yingwei Luo, and Z. Xu. Ontological model of event for integration of inter-organization applications. pages 301–310, 2005.\n[37]\tW.Wang,W. Guo, X.W. Yingwei Luo, and Z. Xu. The study and application of crime emergency ontology event model. pages 807–808, 2005.\n[38]\tJ. Zhuk. Integration-Ready Architecture and Design: Software Engineering with XML, Java, .NET, Wireless, Speech, and Knowledge Technologies. University Press, Cambridge, 2004."]}