swarm-to-cloud interactions,
CYCLOPS - dynamically adjusts the off-cloudCYCLOPS in a variety
bandwidth consumed by content servers (which represents the
bulk of the provider's cost) to feed a set of swarming clients,
based on a feedback signal that gauges the real-time health of
the swarm. Our extensive evaluation of
of settings - including controlled PlanetLab and live Internet
experiments involving thousands of users - show significant
reduction in content distribution costs (by as much as two orders
of magnitude) when compared to non-feedback-based swarming
solutions, with minor impact on content delivery times.
To leverage the elastic nature of cloud computing, a
solution provider must be able to accurately gauge demand for
its offering. For applications that involve
gauging such demand is not straightforward. In this paper,
we propose a general framework, analyze a mathematical model,
and present a prototype implementation of a canonical swarmto-
cloud application, namely peer-assisted content delivery. Our
system - called
