Research Outputs

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Now showing 1 - 10 of 23
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The Case for Heterogeneous WLAN Environments for Converged Networks

2013, Tauber, Markus, Bhatti, S. N., Melnikov, N., Schoenwaelder, J.

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Self-Adaptation Applied to Peer-Set Maintenance in Chord via a Generic Autonomic Management Framework

2010, Tauber, Markus, Kirby, G. N. C., Dearle, A.

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Towards continuous Cloud Service Assurance for Critical Infrastructure IT

2014-08-27, Hudic, A., Mauthe, A., Caceres, S., Hecht, T., Tauber, Markus

The momentum behind Cloud Computing has revolutionized how ICT services are provided, adopted and delivered. Features such as high scalability, fast provisioning, on demand resource availability makes it an attractive proposition for deploying complex and demanding systems. Clouds are also very suitable for deploying systems with unpredictable load patterns including Critical infrastructure services. Though, the major obstacle in hosting Critical infrastructures is often a lack of assurance. The transparency and flexibility offered by the Cloud, abstracts per definition over e.g. data placement, hardware, service migration. This makes it very hard to assure security properties. We present an investigation of assurance approaches, an analysis of their suitability for Critical Infrastructure Services being deployed in the Cloud and presents our approach.

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Generic Autonomic Management as a Service in a SOA-based Framework for Industry 4.0

2019-10, Maksuti, Silia, Tauber, Markus, Delsing, Jerker

Cyber-physical production systems are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. In order to make these systems interoperable with each other for addressing Industry 4.0 applications a number of service-oriented architecture frameworks are developed. Such frameworks are composed by a number of services, which are inherently dynamic by nature and thus imply the need for self-adaptation. In this paper we propose generic autonomic management as a service and show how it can be integrated in the Arrowhead framework. We propose generic and reusable interfaces for each phase of the autonomic control loop in order to increase the usability of the service for other frameworks and application systems, while reducing the software engineering effort. To show the utility of our approach in the Arrowhead framework we use a climate control application as a representative example.

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Application Level Energy and Performance Measurements in a Wireless LAN

2011, Tauber, Markus, Bhatti, S. N., Yu, Y.

We present an experimental evaluation of energy usage and performance in a wireless LAN cell based on a test bed using the 5 GHz ISM band for 802.11a and 802.11n. We have taken an application-level approach, by varying the packet size and transmission rate at the protocol level and evaluating energy usage across a range of application transmission rates using both large and small packet sizes. We have observed that both the application's transmission rate and the packet size have an impact on energy efficiency for transmission in our test bed. We also included in our experiments evaluation of the energy efficiency of emulations of YouTube and Skype flows, and a comparison with Ethernet transmissions.

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Towards Energy-Awareness in Managing Wireless LAN Applications

2012, Tauber, Markus, Bhatti, S. N., Yu, Y.

We have investigated the scope for enabling WLAN applications to manage the trade-off between performance and energy usage. We have conducted measurements of energy usage and performance in our 802.11n WLAN testbed, which operates in the 5 GHz ISM band. We have defined an effective energy usage envelope with respect to application-level packet transmission, and we demonstrate how performance as well as the effective energy usage envelope is effected by various configurations of IEEE 802.11n, including transmission power levels and channel width. Our findings show that the packet size and packet rate of the application flow have the greatest impact on application-level energy usage, compared to transmission power and channel width. As well as testing across a range of packet sizes and packet rates, we emulate a Skype flow, a YouTube flow and file transfers (HTTP over Internet and local server) to place our results in context. Based on our measurements we discuss approaches and potential improvements of management in effective energy usage for the tested applications.

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The Effect of the 802.11 Power Save Mechanism (PSM) on Energy Efficiency and Performance During System Activity

2012, Tauber, Markus, Bhatti, S. N.

802.11 WLAN is a popular choice for wireless access on a range of ICT devices. A growing concern is the increased energy usage of ICT, for reasons of cost and environmental protection. The Power Save Mode (PSM) in 802.11 deactivates the wireless network interface during periods of inactivity. However, applications increasingly use push models, and so devices may be active much of the time. We have investigated the effectiveness of PSM, and considered its impact on performance when a device is active. Rather than concentrate on the NIC, we have taken a system-wide approach, to gauge the impact of the PSM from an application perspective. We experimentally evaluated performance at the packet level and system-wide power usage under various offered loads, controlled by packet size and data rate, on our 802.11n test bed. We have measured the system-wide power consumption corresponding to the individual traffic profiles and have derived application-specific effective energy-usage. We have found that in our scenarios, no significant benefit can be gained from using PSM.

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Towards Taxonomy based Software Security Standard and Tool Selection for Critical Infrastructure IT in the Cloud

2014, Paudel, S., Tauber, Markus, Brandic, I.

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Low RSSI in WLANs: Impact on Application-Level Performance

2013, Tauber, Markus, Bhatti, S. N.

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Towards a Security-Aware Benchmarking Framework for Function-as-a-Service

2018, Pellegrini, Roland, Ivkić, Igor, Tauber, Markus

In a world, where complexity increases on a daily basis the Function-as-a-Service (FaaS) cloud model seams to take countermeasures. In comparison to other cloud models, the fast evolving FaaS increasingly abstracts the underlying infrastructure and refocuses on the application logic. This trend brings huge benefits in application and performance, but comes with difficulties for benchmarking cloud applications. In this position paper, we present an initial investigation of benchmarking FaaS in close to reality production systems. Furthermore, we outline the architectural design including the necessary benchmarking metrics. We also discuss the possibility of using the proposed framework for identifying security vulnerabilities.