The Experts below are selected from a list of 656427 Experts worldwide ranked by ideXlab platform
Andrea Maurino - One of the best experts on this subject based on the ideXlab platform.
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Model-driven web usage analysis for the evaluation of web Application Quality
Journal of Web Engineering, 2004Co-Authors: Piero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea MaurinoAbstract:So far, conceptual modeling of Web Applications has been used primarily in the upper part of the life cycle, as a driver for system analysis. Little attention has been put on exploiting the conceptual specifications developed during analysis for Application evaluation, maintenance and evolution. This paper illustrates an approach for integrating the use of conceptual models in the lower part of the Application life cycle. The approach is based on the adoption of conceptual logs, which are Web usage logs enriched with meta-data deriving from the Application conceptual specifications. In particular, the paper illustrates how conceptual logs are generated and exploited in Web usage evaluation and mining, so as to achieve a deeper and systematic Quality evaluation of Web Applications. A prototype tool supporting the generation of conceptual logs and the evaluation activities is also presented.
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ICWE - A framework for exploiting conceptual modeling in the evaluation of web Application Quality
Lecture Notes in Computer Science, 2004Co-Authors: Pier Luca Lanzi, Maristella Matera, Andrea MaurinoAbstract:This paper illustrates a method and a toolset for Quality evaluation of Web Applications that exploits conceptual specifications, deriving from the adoption of model-based development methods, for the evaluation in pre- and post- delivery phases.
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LA-WEB - Conceptual-level log analysis for the evaluation of Web Application Quality
Proceedings of the IEEE LEOS 3rd International Conference on Numerical Simulation of Semiconductor Optoelectronic Devices (IEEE Cat. No.03EX726), 1Co-Authors: Piero Fraternali, Maristella Matera, Andrea MaurinoAbstract:So far, conceptual modeling of Web Applications has been used primarily in the upper part of the life cycle, as a driver for system analysis. Little attention has been put on exploiting the conceptual models developed during analysis for Application evaluation, maintenance and evolution. We illustrates an approach for integrating the use of conceptual models in the lower part of the Application life cycle, by exploiting them in Quality analysis and usage evaluation. A prototype tool for supporting the described evaluation activities is also presented.
J. Sreenan - One of the best experts on this subject based on the ideXlab platform.
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LCN - Reliability Control for Aggregation in Wireless Sensor Networks
32nd IEEE Conference on Local Computer Networks (LCN 2007), 2007Co-Authors: J.p. Benson, Tony O'donovan, J. SreenanAbstract:Data aggregation is a method used in sensor networks to reduce the amount of messages transported. By aggregating, the data contained in several messages is fused into one single message. If such a message, containing the equivalent of many individual messages, is lost due to transmission errors then this has a detrimental effect on the Application Quality experienced. In many sensor network Applications a constant supply of data is needed and therefore Application Quality is severely effected by excessive data loss. This paper proposes and evaluates the use of an in-network control mechanism to offset this disadvantageous effect. The control mechanism analytically calculates the correct reliability that an aggregate of given size must be forwarded at in order to meet Application specific goals.
Thomas Zinner - One of the best experts on this subject based on the ideXlab platform.
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DaWaK - Text Categorization for Deriving the Application Quality in Enterprises Using Ticketing Systems
Big Data Analytics and Knowledge Discovery, 2015Co-Authors: Thomas Zinner, Susanna Schwarzmann, Matthias Hirth, Florian Lemmerich, Peter Karg, Andreas HothoAbstract:Today’s enterprise services and business Applications are often centralized in a small number of data centers. Employees located at branches and side offices access the computing infrastructure via the internet using thin client architectures. The task to provide a good Application Quality to the employers using a multitude of different Applications and access networks has thus become complex. Enterprises have to be able to identify resource bottlenecks and Applications with a poor performance quickly to take appropriate countermeasures and enable a good Application Quality for their employees. Ticketing systems within an enterprise use large databases for collecting complaints and problems of the users over a long period of time and thus are an interesting starting point to identify performance problems. However, manual categorization of tickets comes with a high workload.
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modelling and performance analysis of Application aware resource management
Networks, 2015Co-Authors: Florian Wamser, Thomas Zinner, Andreas Blenk, Michael Seufert, Wolfgang Kellerer, Phuoc TrangiaAbstract:Application-aware resource management is the approach to tailor access networks to have characteristics beneficial for the running Applications and services. This is achieved through the monitoring and integration of key performance indicators from the Application layer within the network resource management. The aim is to increase user-perceived Quality and network resource efficiency by traffic engineering with the help of these indicators. Using analytic and simulative approaches, this paper provides analysis methods for network operators to quantify the performance gains of alternative resource allocation algorithms that implement the Application-aware concept. Network operators can use the proposed methods to evaluate possible performance gain trade-offs between investing in a pure capacity increase over-provisioning and the realization of an Application-aware resource allocation. For this purpose, we model and analyse the Application Quality trade-offs of four algorithms for Application-aware resource management at a single link in varying traffic situations. The algorithms are chosen with respect to different complexity and implementation level in order to cover the design space in a systematic way. The study of the algorithms focuses on the Application-layer performance for the most used Applications today, namely, web browsing and video streaming with constant bit rate as well as hypertext transfer protocol progressive streaming with variable bit rate. Application Quality trade-offs are analysed in particular for a high-resource utilization at a bottleneck link. The results confirm that Application-aware resource management outperforms best-effort resource management in terms of Quality of experience. Moreover, our study provides guidelines for the selection and configuration of the evaluated algorithms. Copyright © 2015John Wiley & Sons, Ltd.
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MONAMI - Implementing Application-Aware Resource Allocation on a Home Gateway for the Example of YouTube
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2015Co-Authors: Florian Wamser, Thomas Zinner, Lukas Iffländer, Phuoc Tran-giaAbstract:Today’s Internet does not offer any Quality level beyond best effort for the majority of Applications used by private customers. If multiple customers with heterogeneous Applications share a bottleneck link to the Internet, this often leads to Quality deterioration for the customers. This particularly holds for home networks with small band Internet access and for home networks with resource limitation like a bad channel Quality within a wireless network. For such cases, the best effort allocation of resources between heterogeneous Applications leads to an unfair distribution of the Application Quality among the users. To provide a similar Application Quality for all users, we propose to implement an Application-oriented resource management on a home gateway. Therefore, allocation mechanisms need to be implemented such as the prioritization of network flows. Furthermore, a component monitoring the Application Quality and dynamically triggering these mechanisms is required. We show the feasibility of this concept by the implementation of an Application monitor for YouTube on a standard home gateway. The gateway estimates the YouTube video buffers and prioritizes the video clip before the playback buffer depletes.
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deriving the employee perceived Application Quality in enterprise it infrastructures using information from ticketing systems
LWA, 2014Co-Authors: Susanna Schwarzmann, Thomas Zinner, Matthias HirthAbstract:The need for a less complex maintenance of Applications and the IT infrastructure for huge enterprises lead to the centralization of Applications and services within data centers. Employees at sites and branches are connect to data centers via the Internet using a thin-client architectures resulting in additional failure sources beside the end devices, namely the transport network and hardware components in the data centers. To provide a good Application Quality to the employers using a multitude of different Applications and access networks has thus become a complex task [2]. In order to evaluate the Quality of an Application, subjective metrics like Quality of Experience (QoE) [1] are often used. Ongoing research in the field of QoE typically tries to understand the impact of technical systems on the subjective perception of specific Applications. Main influence factors are deduced and appropriate models allowing an estimation of the QoE for varying parameters like bandwidth, packet loss, or jitter are developed. The QoE for Applications like web browsing, video streaming, VoIP, and office products are well understood. This, however, does not hold for enterprise Applications like resource planning and management or data warehouse Applications, which are not covered by current research. Time-consuming user surveys in the employers working environment highly affect the day-to-day business and thus are not practicable. Nevertheless, a profound knowledge of the Application Quality and availability is required to enable good conditions of work and a high working efficiency. For that, enterprises may rely on support systems like a hotline or a ticketing system. Particular the latter is a huge database collecting complaints and problems of the users over a long period of time and thus are an interesting starting point to identify performance problems. Using this data source, we propose an approach to automatically identify tickets indicating problematic Applications and reflecting the user experience. To this end, our approach first groups similar tickets and afterwards tags the resulting groups with adequate keywords. For the grouping process, we rely on the information from the free-text fields of the tickets, which include a summary and a detailed description of the reported issue, and calculate the lexicographical distance between the tickets using the Jaccard index [3]. The keywords for the
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LWA - Deriving the Employee-perceived Application Quality in Enterprise IT Infrastructures using Information from Ticketing Systems ?
2014Co-Authors: Susanna Schwarzmann, Thomas Zinner, Matthias HirthAbstract:The need for a less complex maintenance of Applications and the IT infrastructure for huge enterprises lead to the centralization of Applications and services within data centers. Employees at sites and branches are connect to data centers via the Internet using a thin-client architectures resulting in additional failure sources beside the end devices, namely the transport network and hardware components in the data centers. To provide a good Application Quality to the employers using a multitude of different Applications and access networks has thus become a complex task [2]. In order to evaluate the Quality of an Application, subjective metrics like Quality of Experience (QoE) [1] are often used. Ongoing research in the field of QoE typically tries to understand the impact of technical systems on the subjective perception of specific Applications. Main influence factors are deduced and appropriate models allowing an estimation of the QoE for varying parameters like bandwidth, packet loss, or jitter are developed. The QoE for Applications like web browsing, video streaming, VoIP, and office products are well understood. This, however, does not hold for enterprise Applications like resource planning and management or data warehouse Applications, which are not covered by current research. Time-consuming user surveys in the employers working environment highly affect the day-to-day business and thus are not practicable. Nevertheless, a profound knowledge of the Application Quality and availability is required to enable good conditions of work and a high working efficiency. For that, enterprises may rely on support systems like a hotline or a ticketing system. Particular the latter is a huge database collecting complaints and problems of the users over a long period of time and thus are an interesting starting point to identify performance problems. Using this data source, we propose an approach to automatically identify tickets indicating problematic Applications and reflecting the user experience. To this end, our approach first groups similar tickets and afterwards tags the resulting groups with adequate keywords. For the grouping process, we rely on the information from the free-text fields of the tickets, which include a summary and a detailed description of the reported issue, and calculate the lexicographical distance between the tickets using the Jaccard index [3]. The keywords for the
Pier Luca Lanzi - One of the best experts on this subject based on the ideXlab platform.
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Model-driven web usage analysis for the evaluation of web Application Quality
Journal of Web Engineering, 2004Co-Authors: Piero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea MaurinoAbstract:So far, conceptual modeling of Web Applications has been used primarily in the upper part of the life cycle, as a driver for system analysis. Little attention has been put on exploiting the conceptual specifications developed during analysis for Application evaluation, maintenance and evolution. This paper illustrates an approach for integrating the use of conceptual models in the lower part of the Application life cycle. The approach is based on the adoption of conceptual logs, which are Web usage logs enriched with meta-data deriving from the Application conceptual specifications. In particular, the paper illustrates how conceptual logs are generated and exploited in Web usage evaluation and mining, so as to achieve a deeper and systematic Quality evaluation of Web Applications. A prototype tool supporting the generation of conceptual logs and the evaluation activities is also presented.
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ICWE - A framework for exploiting conceptual modeling in the evaluation of web Application Quality
Lecture Notes in Computer Science, 2004Co-Authors: Pier Luca Lanzi, Maristella Matera, Andrea MaurinoAbstract:This paper illustrates a method and a toolset for Quality evaluation of Web Applications that exploits conceptual specifications, deriving from the adoption of model-based development methods, for the evaluation in pre- and post- delivery phases.
Maristella Matera - One of the best experts on this subject based on the ideXlab platform.
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Model-driven web usage analysis for the evaluation of web Application Quality
Journal of Web Engineering, 2004Co-Authors: Piero Fraternali, Pier Luca Lanzi, Maristella Matera, Andrea MaurinoAbstract:So far, conceptual modeling of Web Applications has been used primarily in the upper part of the life cycle, as a driver for system analysis. Little attention has been put on exploiting the conceptual specifications developed during analysis for Application evaluation, maintenance and evolution. This paper illustrates an approach for integrating the use of conceptual models in the lower part of the Application life cycle. The approach is based on the adoption of conceptual logs, which are Web usage logs enriched with meta-data deriving from the Application conceptual specifications. In particular, the paper illustrates how conceptual logs are generated and exploited in Web usage evaluation and mining, so as to achieve a deeper and systematic Quality evaluation of Web Applications. A prototype tool supporting the generation of conceptual logs and the evaluation activities is also presented.
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ICWE - A framework for exploiting conceptual modeling in the evaluation of web Application Quality
Lecture Notes in Computer Science, 2004Co-Authors: Pier Luca Lanzi, Maristella Matera, Andrea MaurinoAbstract:This paper illustrates a method and a toolset for Quality evaluation of Web Applications that exploits conceptual specifications, deriving from the adoption of model-based development methods, for the evaluation in pre- and post- delivery phases.
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LA-WEB - Conceptual-level log analysis for the evaluation of Web Application Quality
Proceedings of the IEEE LEOS 3rd International Conference on Numerical Simulation of Semiconductor Optoelectronic Devices (IEEE Cat. No.03EX726), 1Co-Authors: Piero Fraternali, Maristella Matera, Andrea MaurinoAbstract:So far, conceptual modeling of Web Applications has been used primarily in the upper part of the life cycle, as a driver for system analysis. Little attention has been put on exploiting the conceptual models developed during analysis for Application evaluation, maintenance and evolution. We illustrates an approach for integrating the use of conceptual models in the lower part of the Application life cycle, by exploiting them in Quality analysis and usage evaluation. A prototype tool for supporting the described evaluation activities is also presented.
