Performance evaluation of an open distributed platform for realistic traffic generation

Network researchers have dedicated a notable part of their efforts to the area of modeling traffic and to the implementation of efficient traffic generators. We feel that there is a strong demand for traffic generators capable to reproduce realistic traffic patterns according to theoretical models and at the same time with high performance. This work presents an open distributed platform for traffic generation that we called distributed internet traffic generator (D-ITG), capable of producing traffic (network, transport and application layer) at packet level and of accurately replicating appropriate stochastic processes for both inter departure time (IDT) and packet size (PS) random variables. We implemented two different versions of our distributed generator. In the first one, a log server is in charge of recording the information transmitted by senders and receivers and these communications are based either on TCP or UDP. In the other one, senders and receivers make use of the MPI library. In this work a complete performance comparison among the centralized version and the two distributed versions of D-ITG is presented

The coordination value of monetary exchange: Experimental evidence

Under what conditions can cooperation be sustained in a network of strangers? Here we study the role of institutions and uncover a new behavioral foundation for the use of monetary systems. In an experiment, anonymous subjects could cooperate or defect in bilateral random encounters. This sequence of encounters was indefinite; hence multiple equilibria were possible, including full intertemporal cooperation supported by a social norm based on community punishment of defectors. We report that such social norm did not emerge. Instead, the availability of intrinsically worthless tokens favored the coordination on intertemporal cooperation in ways that networks of strangers were unable to achieve through social norms.

Does Monitoring Decrease Work Effort? The Complementarity Between Agency and Crowding-Out Theories

Agency theory assumes that tighter monitoring by the principal should motivate the agent to raise his effort level. In contrast, the “crowding-out” literature suggests that tighter monitoring may reduce the overall work effort. These two assertions are not necessarily contradictory provided that the nature of the employment relationship is taken into account (Frey 1993). This paper reports on the results of a real-effort laboratory experiment designed to test the relative importance of the disciplining effect and the crowding-out effect of monitoring. We find no strong support for the crowding-out hypothesis and we show that the disciplining effect of monitoring dominates in abstract one-shot relationships as well as in somewhat more interpersonal multi-shot relationships. Principals are not trustful enough to refrain from using the monitoring opportunity and most agents react to a decrease in the monitoring intensity by decreasing their effort.

The Coordination Value of Monetary Exchange: Experimental Evidence

A new behavioral foundation is uncovered for why money promotes impersonal exchange. In an experiment, subjects could cooperate by intertemporally exchanging goods with anonymous opponents met at random. Indefinite repetition supported multiple equilibria, from full defection to the efficient outcome. Introducing the possibility to hold and exchange intrinsically worthless tickets affected outcomes and cooperation patterns. Tickets resembled fiat money, which emerged as a tool for equilibrium selection in the economy. Monetary exchange facilitated coordination on cooperation and redistributed surplus from defectors to cooperators. Treatments where subjects could develop a reputation revealed a limited record-keeping role for monetary exchange.money, cooperation, information, trust, folk theorem, repeated games

The Use of Online Panel Data in Management Research: A Review and Recommendations

Management scholars have long depended on convenience samples to conduct research involving human participants. However, the past decade has seen an emergence of a new convenience sample: online panels and online panel participants. The data these participants provide—online panel data (OPD)—has been embraced by many management scholars owing to the numerous benefits it provides over “traditional” convenience samples. Despite those advantages, OPD has not been warmly received by all. Currently, there is a divide in the field over the appropriateness of OPD in management scholarship. Our review takes aim at the divide with the goal of providing a common understanding of OPD and its utility and providing recommendations regarding when and how to use OPD and how and where to publish it. To accomplish these goals, we inventoried and reviewed OPD use across 13 management journals spanning 2006 to 2017. Our search resulted in 804 OPD-based studies across 439 articles. Notably, our search also identified 26 online panel platforms (“brokers”) used to connect researchers with online panel participants. Importantly, we offer specific guidance to authors, reviewers, and editors, having implications for both micro and macro management scholars

iTeleScope: Intelligent Video Telemetry and Classification in Real-Time using Software Defined Networking

Video continues to dominate network traffic, yet operators today have poor visibility into the number, duration, and resolutions of the video streams traversing their domain. Current approaches are inaccurate, expensive, or unscalable, as they rely on statistical sampling, middle-box hardware, or packet inspection software. We present {\em iTelescope}, the first intelligent, inexpensive, and scalable SDN-based solution for identifying and classifying video flows in real-time. Our solution is novel in combining dynamic flow rules with telemetry and machine learning, and is built on commodity OpenFlow switches and open-source software. We develop a fully functional system, train it in the lab using multiple machine learning algorithms, and validate its performance to show over 95\% accuracy in identifying and classifying video streams from many providers including Youtube and Netflix. Lastly, we conduct tests to demonstrate its scalability to tens of thousands of concurrent streams, and deploy it live on a campus network serving several hundred real users. Our system gives unprecedented fine-grained real-time visibility of video streaming performance to operators of enterprise and carrier networks at very low cost.Comment: 12 pages, 16 figure

Voice and Video Capacity of a Secure Wireless System

Improving the security and availability of secure wireless multimedia systems is the purpose of this thesis. Specifically, this thesis answered research questions about the capacity of wireless multimedia systems and how three variables relate to this capacity. The effects of securing the voice signal, real-time traffic originating foreign to a wireless local area network and use of an audio-only signal compared with a combined signal were all studied. The research questions were answered through a comprehensive literature review in addition to an experiment which had thirty-six subjects using a secure wireless multimedia system which was developed as part of this thesis effort. Additionally, questions related to the techniques for deploying wireless multimedia system including the maturity and security of the technology were answered. The research identified weaknesses in existing analytical and computer models and the need for a concise and realistic model of wireless multimedia systems. The culmination of this effort was the integration of an audio-video system with an existing research platform which is actively collecting data for the Logistics Readiness Branch of the Air Force Research Laboratory