Abstract not found

Store product. This OODBMS is a persistent store for Java (and C++) classes, and we describe next how we create such classes, along with some of our design principles for author-friendliness, e.g., strategies by which the authors of descriptive data and keys are kept isolated from the technology. We

April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by:

devices in the Internet of Things (IoT) and other data sources are increasingly bridging the gap between the physical and digital world by providing fine-grained data about real-world events. Enterprise software systems are adopting the paradigm of event-based systems (EBS) to enable them to react to meaningful events in a timely manner. Smart supply chains fusing dynamic sensor data with information provided by backend-systems are one such example of event-based enterprise systems. Monitoring their global state in an effective way for runtime governance remains an open research challenge: providing the required type of information while trading off precision for costs. We previously introduced application-specific integrated aggregation (ASIA) as a means for collecting metadata in distributed event-based systems. In this paper, we show how ASIA can support IT Service Management in monitoring and governing decentralized event-based enterprise systems at runtime. We present a dashboard based on industry-strength technology as proof of concept and discuss how to integrate usage statistics provided on-the-fly by ASIA into metrics for runtime governance. We evaluate our monitoring approach in terms of performance, scalability and precision. I.

I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present the work on various conferences, for which I thank him. I would also like to thank Prof. Dr. Roger Wattenhofer, responsible for the Koreferat of this work. Also, Prof. Dr. Oscar Nierstrasz who was willing to be the co-examinator of this work deserves many thanks. Many thanks go to my colleagues of the RVS group and of the IAM for our various interesting discussions about all kinds of topics and for making the institute a very pleasant and friendly place to work at. Special thanks go to David Steiner, Marc Steinemann, Matthias Scheidegger, Florian Baumgartner, Ruy De Oliveira, and Attila Weyland. There are many students who worked with me and helped a lot in developing and implementing. Among them I especially thankful to Thomas Bernoulli,

I herewith certify that all material in this dissertation which is not my own work has been properly acknowledged.

on August 14, 2013 http://rer.aera.net Downloaded from Garden-Based Learning and Academic Outcomes 216 were based in the community with no explicit connection to schools and/or student learning, (b) they were commentaries on garden-based learning, (c) there was no "treatment" of a garden, or (d

. Several people discussed applications of automated reasoning techniques: to enable complex querying over data from the yeast community (Baker et al.) or toward the automation of protein classification as part of the process of genome annotation (Wolstencroft et al.). Ontologies are increasingly being

, the standard conclusion reached is (e.g., [2], Public-key infrastructure (PKI) is the catch-all term for mechanics necessary to establish, maintain, and distribute these assertions (certificates) and key pairs. Typically, PKI includes components to solve these problems: • How does a keyholder obtain a

, to compare the performance and accuracy of proposed solutions, the lack of openly available test dataset is a bottleneck. However, for research in the community to progress, such a dataset would be valuable. The propose system will to create new dataset to mitigate vulnerable attack from cyber-crime side