Maria Leitner, Arndt Bonitz, B. Herzog, Walter Hötzendorfer, Christian Kenngott, Thomas Kuhta, Oliver Terbu, Stefan Vogl, S. Zehetbauer
{"title":"A Versatile, Secure and Privacy-Aware Tool for Online Participation","authors":"Maria Leitner, Arndt Bonitz, B. Herzog, Walter Hötzendorfer, Christian Kenngott, Thomas Kuhta, Oliver Terbu, Stefan Vogl, S. Zehetbauer","doi":"10.1109/EDOCW.2016.7584342","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584342","url":null,"abstract":"Online participations have increased in recent years and various tools emerged to support participatory processes. However, often they support only one level of participation such as information, consultation or co-operation and definite security and privacy considerations seem to be not a priority. What is missing so far is a secure and flexible tool that can be used for multiple purposes and integrates security and privacy considerations from the beginning. In this paper, we propose a tool for online participation that supports multiple levels of participation, provides authentication with different electronic identities (eIDs), incorporates security and privacy by design and ensures interoperability to existing identity solutions. For example, with the use of different eIDs (if adequate to the level of participation), we expect to enable a low threshold for participation. Based on the aforementioned requirements, we expect to increase the trust between operators and participants in online participations in the long run.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127589800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Sungur, Uwe Breitenbücher, S. Dustdar, Oliver Kopp, F. Leymann, Christoph Mayr-Dorn, Mozi Song, A. Weiss
{"title":"Identifying Relevant Resources and Relevant Capabilities of Collaborations - A Case Study","authors":"C. Sungur, Uwe Breitenbücher, S. Dustdar, Oliver Kopp, F. Leymann, Christoph Mayr-Dorn, Mozi Song, A. Weiss","doi":"10.1109/EDOCW.2016.7584362","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584362","url":null,"abstract":"Organizational processes involving collaborating resources, such as development processes, innovation processes, and decision-making processes, typically affect the performance of many organizations. Moreover, including required but missing, resources and capabilities of collaborations can improve the performance of corresponding processes drastically. In this work, we demonstrate the extended Informal Process Execution (InProXec) method for identifying resources and capabilities of collaborations using a case study on the Apache jclouds project.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127922005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Toolkit for Streaming Process Data Analysis","authors":"R. Dijkman, Sander P. F. Peters, A. T. Hofstede","doi":"10.1109/EDOCW.2016.7584341","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584341","url":null,"abstract":"This paper presents a software toolkit that can be used to analyze event data streams in real-time. It has a specific focus on stochastic analysis of business processes, based on event data that is produced during the execution of those processes. The toolkit provides a software environment that facilitates easy connection to event data streams and quick development and testing of analysis and visualization techniques. It is developed by classifying existing techniques for streaming process data analysis, which are identified in the current literature, and by extracting and formalizing the core mechanisms that these techniques are based on. These core mechanisms serve as the basis for the toolkit. The toolkit is implemented and made available as open source. In this way it can facilitate quick prototyping of streaming process data analysis techniques.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126802495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}