This paper focusses on current trends in the banking industry and on illustrating how these trends can be supported by cloud computing. The main characteristics of cloud computing that could support transformation are facilitated data accessibility, enabled processing of data from various sources and the opportunity of an easier integration of functions or data. Trends in the banking industry are increasing customer centricity, redesigning of branches and deployment of new communication and distribution channels. For each trend we report quotes general information to provide an overview of the transformation caused by this trend. We identify which business processes are influenced, how they are affected and we explain how cloud computing could support the identified changes.

Large scale telecommunications networks need to be continuously monitored to detect problems and react accordingly to ensure the networks stability. Current monitoring systems are well capable to monitor such large scale installations for simple situations like failing routers, links or abnormal link utilization. However, current systems fail to provide near real-time in-depth root cause analysis for nation scale networks. This is particularly important in cases where the monitoring dashboard is flooded with notifications caused by side-effects of one bigger failure. In our project we develop a processing system capable of providing this root cause analysis in a timely fashion even for large telecommunications networks. To cope with these challenges we defined a specialized processing model for the detection and analysis of complex error situations which is largely based on event stream processing mechanisms. In this paper we discuss the first stage of this process and its initial implementation.

The viability of cloud computing for information-intensive tasks arising in real-time opinion mining and sentiment analysis of large online text streams is described. We show how a smart distributed architecture enables an efficient and scalable design for opinion mining on internet-based content that answers key challenges, such as integrating heterogeneous data sources and adapting to events through dynamic system configuration. In particular, we present a novel approach of semantic complex event processing in a cloud environment capturing different levels of information, such as event data (e.g. content from various heterogeneous, distributed sources) as well as associations identified during the opinion mining and sentiment analysis process (e.g. dynamic co-reference resolution).

Cloud computing has emerged as a strong factor driving companies to remarkable business success. Far from just being an IT level support solution cloud computing is triggering changes in their core business models by making them more efficient and cost-effective. This has generated an interest for a lot of companies to try and adopt cloud computing for their existing and new business process. In this research we present an approach which a company can use to analyze if its operations can be positively impacted by moving to the cloud. Further we describe our approach using which the company can make that transition to the cloud.

Handling changes of business processes, and making sure systems are up and running after a change in the business process with minimum downtime is something which has been of interest to researchers for long and there have been several approaches proposed for it. With Cloud computing becoming increasingly popular businesses require a strong system for cloud based implementations which can handle change management of processes. In this paper we propose a change management approach for cloud backed business process models.

Article Free Access Share on FRAMBOISE—an approach to framework-based active database management system construction Authors: Hans Fritschi Database Technology Reaearch Group, Institut für Informatik, Universität Universität Zürich Database Technology Reaearch Group, Institut für Informatik, Universität Universität ZürichView Profile , Stella Gatziu Database Technology Reaearch Group, Institut für Informatik, Universität Universität Zürich Database Technology Reaearch Group, Institut für Informatik, Universität Universität ZürichView Profile , Klaus R. Dittrich Database Technology Reaearch Group, Institut für Informatik, Universität Universität Zürich Database Technology Reaearch Group, Institut für Informatik, Universität Universität ZürichView Profile Authors Info & Claims CIKM '98: Proceedings of the seventh international conference on Information and knowledge managementNovember 1998 Pages 364–370https://doi.org/10.1145/288627.288678Online:01 November 1998Publication History 11citation283DownloadsMetricsTotal Citations11Total Downloads283Last 12 Months13Last 6 weeks7 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Summary form only given. Active database management systems (active DBMS) support the definition, management and execution of event/condition/action rules specifying reactive application behavior. Although the advantages of active mechanisms are nowadays well known, there is still no wide use in practice. One main problem is that especially for large rule sets, defined by different persons at different points in time, potential conflicts and dependencies between rules are hard to predict and rule behavior is difficult to control. Therefore, tools are needed to assist the development and maintenance of rule bases. These tools should provide for graphical interfaces supporting both, "static" activities (performed during rule specification) such as rule editing, browsing, design, rule analysis, and "dynamic" activities (performed at runtime, during the execution of an application) such as testing, debugging and understanding of rule behavior. The aim of the article is to show the use of three of these tools, namely the rule editor, the browser and the termination analyzer in the process of developing applications for the active object oriented DBMS SAMOS.

No abstract available.