No abstract

The lack of a clear method to judge a researcher's contribution has recently [1] led to the proposal of a new metric, called Peer Reputation (PR) metric. PR ties the selectivity of a publication venue with the reputation of the first author's institution. In [1], the authors compute PR for a number of networking research publication venues and argue that PR is a better indicator of selectivity than a venue's Acceptance Ratio (AR). We agree that PR is an idea towards the right direction and that it offers substantial information that is missing from AR. Still, we argue in this paper that PR is not adequate by itself in giving a solid evaluation of a researcher's contribution. In our study, we discuss and evaluate quantitatively the points on which PR does not sufficiently serve its purpose. To evaluate PR, we have gathered data for 11 conferences belonging to different research fields (networking, informatics and electronics), between 2008-2011. We also use three different rankings of doctoral programs in USA and two world university rankings, to study how they influence the PR results.

The greediness of multimedia applications in terms of their bandwidth demands calls for new and efficient network traffic control mechanisms, especially in wireless networks where the bandwidth is limited. In an enterprise-like environment, an additional burden is expected to be added to the network by screen mirroring traffic. Smart mobile devices are displacing personal computers in many daily applications but at the same time users still need to use a large display, keyboard and mouse. Hence, the transmission of low-latency, high fidelity video over a Wi-Fi link can lead to significant unfairness among users in terms of the bandwidth that is available to them, if this wireless video traffic is not accurately policed. In this work, we focus on the problem of policing screen mirroring traffic. We evaluate various classic and new traffic policing mechanisms, and we propose a new mechanism which is shown to clearly outperform all other mechanisms, including the widely used token bucket policer.