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Process performance is influenced by the teams involved in those processes. However, objectively evaluating team performance is challenging. Process mining literature has mostly focused on the characteristics of social networks rather than their performance. Following design science research principles, we designed a method for objectively benchmarking team performance using process mining, data envelopment analysis, and social network analysis. Our stepwise method provides guidelines on choosing appropriate data, extracting teams, identifying and calculating relevant metrics, benchmarking team performance, and determining improvement areas by considering the process context. We demonstrate the application on a real-life loan management process. We conducted interviews with business professionals to validate the usefulness and applicability. The results show that the method can provide an objective and transparent mechanism for comparing the performance of teams. The method can be used by organizations to form efficient teams and facilitate an increase in productivity. [ABSTRACT FROM AUTHOR]

This paper describes a method of detecting hardware virtualization based rootkits by performance benchmarking by detecting performance degradation caused by the hardware virtualization itself. The method proposed is both passive and remote, so it is not easily detected by the rootkit. The method does not rely on an internal and therefore untrustable timing source, and does not rely on the rootkit's potentially imperfect representation of the actual physical characteristics of the computing platform. For these reasons, it is believed that this method is not subject to criticisms normally leveled against the currently proposed methods of detecting hardware virtualization or hardware virtualization rootkits. Measuring performance degradation requires a baseline, and compared with that baseline, the degradation must be sufficiently great to be judged anomalous with reasonable confidence. That degradation must also be accurately measurable by a trusted and therefore external timing source. Accordingly, the benchmarking experiment that has been devised was performed using commodity hardware and freely available software, to determine which resources virtualization seems to degrade performance most significantly, and of these resources, which are most accurately timed externally. Although the results are preliminary, and strictly speaking, apply only to the actual hardware used in the experiment, they nonetheless show that there is potential to use passive network analysis to detect hardware based virtualization rootkits and associated malware. [ABSTRACT FROM PUBLISHER]

This paper presents the first system-level study on the impact of carbon nanotube field-effect transistors (CNFETs) on multilevel interconnect networks. In this paper, for the first time, the gains in speed and energy-delay product (EDP) offered by CNFETs over CMOS are presented as a function of interconnect length. It is demonstrated that the respective 4.3× and 8× improvements in intrinsic delay and EDP of CNFET inverters at 16nm technology node over Si-CMOS inverters are quickly overshadowed by the delay and EDP of interconnects. For repeater-inserted interconnects, the delay and EDP improvements of CNFETs saturate at 2.08× compared to CMOS. However, CNFETs offer a major advantage in terms of the required number of metal levels in a multilevel interconnect network because of the availability of a larger number of repeaters compared to Si-CMOS switches. [ABSTRACT FROM PUBLISHER]