Cueing and composing for long distance network music collaborations.

Long distance network music collaborations beyond the ensemble performance threshold (EPT) as exposed by Schuett in 2002 [14] where playability is affected beyond a roundtrip network delay of 50ms calls for the development of cueing mechanisms that are methodical and linked to musical parameters. The cueing strategies involved in such musical interactions will depend on the type of repertoire played and the network distance (ND) between the nodes involved in the performance. This paper proposes a semi-standardized cueing framework for real time collaborations over the network with latencies of more than 50ms. The paper also explores a compositional methodology for creating network centric performances, which couldn’t occur outside of a networked situation

Dynamic Cues for Network Music Interactions

This paper provides an overview of a cueing system, the Master Cue Generator (MCG) used to trigger performers (humans or computers) over an IP-based network. The performers are scattered in several locations and receive cues to help them interact musically over the net- work. The paper proposes a classification of cues that dynamically evolve and reshape as the performance takes place. This begets the explo- ration of various issues such as how to represent and port a hierarchy of control over a net- worked music performance (NMP) and also takes into account parameters inherent to a net- work such as latency and distance. This ap- proach is based on several years of practice-led research in the field of NMP, a discipline that is gaining grounds within the music technology community both as a practice and through the development of tools and strategies for interact- ing over disparate locations

Living Labs as a navigation system for innovative business models in the music industry

Media industries and other rapidly evolving, complex, uncertain markets have a hard time to survive if they do not optimize or radically change their business models. This paper analyses the potential of involving all relevant stakeholders of the value network in the development of a business model by means of a panel based multi-method Living Lab approach. Using an in-depth case study analysis, a critical analysis of both the potential value and the weaknesses of such an approach are being assessed. Although some difficulties exist, opening this innovation process and involving external actors in a structural way has the potential to increase the value creation and sustainability of the business model. This paper also stresses the importance of multidisciplinary research on multi-stakeholder involvement in business model innovation

A two-way interactive broadband satellite architecture to break the digital divide barrier

September 24-26, 2007, Turin, Ital

TV-Centric technologies to provide remote areas with two-way satellite broadband access

October 1-2, 2007, Rome, Italy TV-Centric Technologies To Provide Remote Areas With Two-Way Satellite Broadband Acces

Wireless Communications in the Era of Big Data

The rapidly growing wave of wireless data service is pushing against the boundary of our communication network's processing power. The pervasive and exponentially increasing data traffic present imminent challenges to all the aspects of the wireless system design, such as spectrum efficiency, computing capabilities and fronthaul/backhaul link capacity. In this article, we discuss the challenges and opportunities in the design of scalable wireless systems to embrace such a "bigdata" era. On one hand, we review the state-of-the-art networking architectures and signal processing techniques adaptable for managing the bigdata traffic in wireless networks. On the other hand, instead of viewing mobile bigdata as a unwanted burden, we introduce methods to capitalize from the vast data traffic, for building a bigdata-aware wireless network with better wireless service quality and new mobile applications. We highlight several promising future research directions for wireless communications in the mobile bigdata era.Comment: This article is accepted and to appear in IEEE Communications Magazin