An Analysis of BitTorrent Cross-Swarm Peer Participation and Geolocational Distribution

Peer-to-Peer (P2P) file-sharing is becoming increasingly popular in recent years. In 2012, it was reported that P2P traffic consumed over 5,374 petabytes per month, which accounted for approximately 20.5% of consumer internet traffic. TV is the popular content type on The Pirate Bay (the world's largest BitTorrent indexing website). In this paper, an analysis of the swarms of the most popular pirated TV shows is conducted. The purpose of this data gathering exercise is to enumerate the peer distribution at different geolocational levels, to measure the temporal trend of the swarm and to discover the amount of cross-swarm peer participation. Snapshots containing peer related information involved in the unauthorised distribution of this content were collected at a high frequency resulting in a more accurate landscape of the total involvement. The volume of data collected throughout the monitoring of the network exceeded 2 terabytes. The presented analysis and the results presented can aid in network usage prediction, bandwidth provisioning and future network design.Comment: The First International Workshop on Hot Topics in Big Data and Networking (HotData I

An Alternative Nonlinear Perspective on the Consumption, Income and Wealth Relationship

We provide new evidence on the relationship between consumption expenditure and key drivers namely, income and wealth. Using a testing procedure advocated by Bierens applied to US data, we find evidence that all series are in fact stationary around a nonlinear deterministic trend and are co-trended insofar as they share a common nonlinear deterministic trend. This can be seen in the context of cointegration-based studies that have often found against the existence of a long-run relationship. We also contribute to the ‘great ratios' debate concerning the time series properties of the average propensity to consume.Consumption, Income, Wealth, Average Propensity to Consume, Nonlinear, Co-trending.

Modular Self-Reconfigurable Robot Systems

The field of modular self-reconfigurable robotic systems addresses the design, fabrication, motion planning, and control of autonomous kinematic machines with variable morphology. Modular self-reconfigurable systems have the promise of making significant technological advances to the field of robotics in general. Their promise of high versatility, high value, and high robustness may lead to a radical change in automation. Currently, a number of researchers have been addressing many of the challenges. While some progress has been made, it is clear that many challenges still exist. By illustrating several of the outstanding issues as grand challenges that have been collaboratively written by a large number of researchers in this field, this article has shown several of the key directions for the future of this growing fiel

Interventional and Device-based Autonomic Modulation in Heart Failure

Heart failure is an increasingly prevalent disease with high mortality and public health burden. It is associated with autonomic imbalance characterized by sympathetic hyperactivity and parasympathetic hypoactivity. Evolving novel interventional and device-based therapy has sought to restore autonomic balance by neuromodulation. Results of preclinical animal studies and early clinical trials have demonstrated its safety and efficacy in heart failure. In this review article, we will discuss specific neuromodulatory treatment modalities individually—spinal cord stimulation, vagus nerve stimulation, baroreceptor activation therapy and renal sympathetic nerve denervation