The Catford Riddim on the 202

This presentation is about a song, ”Catford Riddim” by the A-Team, a group of grime artists from South London, specifically about how it came to be played, perhaps a bit too loudly, in the back of the 202 bus one January morning on a teenager’s mobile phone. As an illustration of how social networks and technological networks converge, the ”Catford Riddim,” insisting on the music’s own provenance from the SE6 postcode, shows the formation of a local ethnoscape in the global networks of peer-to-peer file sharing and online DIY distribution sites such as MySpace. Contesting the narrative of online social networks as routes to fame, I suggest that on the contrary they illustrate the emergence of local, even insular, ”scenes” of musicians, events and audiences.

Home is where my archive is

The miniaturization and dissemination of audiovisual media into small, mobile assemblages of cameras, screens and microphones has brought "database cinema" (Manovich) into pockets and handbags. In turn, this micro-portability of video production calls for a reconsideration of database cinema, not as an aesthetic but rather as a media ecology that makes certain experiences and forms of interaction possible. In this context the clip and the fragment become a social currency (showing, trading online, etc.), and the enjoyment of a moment or "occasion" becomes an opportunity for recording, extending, preserving and displaying. If we are now the documentarists of our lives (as so many mobile phone adverts imply), it follows that we are also our own archivists as well. From the folksonomies of Flickr and YouTube to the slick "media centres" of Sony, Apple and Microsoft, the audiovisual home archive is a prized territory of struggle among platforms and brands. The database is emerging as the dominant (screen) medium of popular creativity and distribution – but it also brings the categories of "home" and "person" closer to that of the archive.

Flexible self-adjustment of task deployment in dynamic environments

This paper presents an investigation into dynamic self-adjustment of task deployment and other aspects of self-management, through the embedding of multiple policies. Non-dedicated loosely-coupled computing environments, such as clusters and grids are increasingly popular platforms for parallel processing. These abundant systems are highly dynamic environments in which many sources of variability affect the run-time efficiency of tasks. The dynamism is exacerbated by the incorporation of mobile devices and wireless communication. This paper proposes an adaptive strategy for the flexible run-time deployment of tasks; to continuously maintain efficiency despite the environmental variability. The strategy centres on policy-based scheduling which is informed by contextual and environmental inputs such as variance in the round-trip communication time between a client and its workers and the effective processing performance of each worker. A self-management framework has been implemented for evaluation purposes. The framework integrates several policy-controlled, adaptive services with the application code, enabling the run-time behaviour to be adapted to contextual and environmental conditions. Using this framework, an exemplar self-managing parallel application is implemented and used to investigate the extent of the benefits of the strategy