Availability, Reliability, and Security in Information by Fabienne Kuhn, Andreas Spichiger, Reinhard Riedl (auth.),

By Fabienne Kuhn, Andreas Spichiger, Reinhard Riedl (auth.), Alfredo Cuzzocrea, Christian Kittl, Dimitris E. Simos, Edgar Weippl, Lida Xu (eds.)

This publication constitutes the refereed court cases of the IFIP WG 8.4, 8.9, TC five foreign Cross-Domain convention on Availability, Reliability and defense, CD-ARES 2013, held in Regensburg, Germany, in September 2013. The 21 revised papers provided have been rigorously reviewed and chosen for inclusion within the quantity. The papers be aware of the various elements of data platforms bridging the space among learn leads to computing device technological know-how and the numerous software fields. they're geared up within the following topical sections: monetary, moral, criminal, multilingual, organizational and social points; context-oriented info integration; data/information administration as a carrier; context-oriented info integration and location-aware computing; safeguard and privateness; hazard administration and enterprise continuity; and defense and privateness and placement dependent functions. additionally integrated are 15 papers from a distinct consultation on Human-Computer interplay and information Discovery (HCI-KDD 2013).

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Extra info for Availability, Reliability, and Security in Information Systems and HCI: IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2013, Regensburg, Germany, September 2-6, 2013. Proceedings

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We assumed that the CPU and hard drives are the main energy consumer but in fact it turned out that the mainboard is the biggest one. We also assumed that the usage of single database connection would improve the performance because of the better usage of PostgreSQL’s internal cache but the opposite occured: the performance was nearly the same with an increased power consumption of 7 percent on average. Using the equations outlined in Sec. 3, this leads to a lower energy efficiency of nearly 8 percent on average as depicted in Fig.

Multiple conn. single conn. 5 GByte main memory 0 single conn. 5 GByte main memory CPU Hard disk Main memory Mainboard Power supply 50 multiple conn. Component power consumption in W 150 1 GByte main memory 1 5 10 1 5 10 1 5 10 Database size in GByte (a) Energy consumption per component 1 5 10 1 5 10 1 5 10 Database size in GByte (b) Energy efficiency Fig. 4. Energy consumption per component and energy efficiency for SSB workload A deeper investigation of the query plans showed us that the reduced set of tables and the modified queries lead to a more stable and predictable behaviour concerning the power consumption and energy efficiency.

This assumption is corroborated by the higher need for documentation in healthy persons, again referable to their higher insecurity when dealing with disease-related information. 24 S. Himmel et al. Summarizing the findings so far, we can conclude that users perceive different requirements for technologies in different domains. In addition, the key requirements are also modulated by user diversity. Gender, age, and health status are sensitive factors that need to be considered quite early in the design process of a technology.

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