Real-time detection of grid bulk transfer traffic

The current practice of physical science research has yielded a continuously growing demand for interconnection network bandwidth to support the sharing of large datasets. Academic research networks and internet service providers have provisioned their networks to handle this type of load, which generates prolonged, high-volume traffic between nodes on the network. Maintenance of QoS for all network users demands that the onset of these (Grid bulk) transfers be detected to enable them to be reengineered through resources specifically provisioned to handle this type of traffic. This paper describes a real-time detector that operates at full-line-rate on Gb/s links, operates at high connection rates, and can track the use of ephemeral or non-standard ports

The Strange and Spooky Battle over Bats and Black Dresses: The Commodification of Whitby Goth Weekend and the Loss of a Subculture

From counterculture to subculture to the ubiquity of every black-clad wannabe vampire hanging around the centre of Western cities, Goth has transcended a musical style to become a part of everyday leisure and popular culture. The music’s cultural terrain has been extensively mapped in the first decade of this century. In this article, we examine the phenomenon of the Whitby Goth Weekend, a modern Goth music festival, which has contributed to (and has been altered by) the heritage-tourism marketing of Whitby as the holiday resort of Dracula (the place where Bram Stoker imagined the Vampire Count arriving one dark and stormy night). We examine marketing literature and websites that sell Whitby as a spooky town, and suggest that this strategy has driven the success of the Goth festival. We explore the development of the festival and the politics of its ownership, and its increasing visibility as a mainstream tourist destination for those who want to dress up for the weekend. By interviewing Goths from the north of England, we suggest that the mainstreaming of the festival has led to it becoming less attractive to those more established, older Goths who see the subculture’s authenticity as being rooted in the post-punk era, and who believe that Goth subculture should be something one lives full-time

Context Aware Computing for The Internet of Things: A Survey

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201

Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges

Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.Comment: 29 pages, 5 figure

In the Vernacular: Photography of the Everyday

This is the catalogue of the exhibition "In the Vernacular" at Boston University Art Gallery