Jorge Londoño

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Emerging configurable infrastructures such as large-scale overlays and grids, distributed testbeds, and sensor networks comprise diverse sets of available computing resources (e.g., CPU and OS capabilities and memory constraints) and network conditions (e.g., link delay, bandwidth, loss rate, and jitter) whose characteristics are both complex and(More)
—By colocating with other tenants of an Infrastructure as a Service (IaaS) offering, IaaS users could reap significant cost savings by judiciously sharing their use of the fixed-size instances offered by IaaS providers. This paper presents the blueprints of a Colocation as a Service (CaaS) framework. CaaS strategic services identify coalitions of(More)
—We propose Trade & Cap (T&C), an economics-inspired mechanism that incentivizes users to voluntarily coordinate their consumption of the bandwidth of a shared resource (e.g., a DSLAM link) so as to converge on what they perceive to be an equitable allocation, while ensuring efficient resource utilization. Under T&C, rather than acting as an arbiter, an(More)
We introduce Colocation Games as the basis of a general framework for modeling, analyzing, and facilitating the interactions between the various stakeholders in distributed/cloud computing environments, where resources are offered in an open marketplace to independent , rational parties interested in setting up their own applications. Virtualization(More)
—Scheduling of delay-tolerant jobs has been proposed as a mechanism to alleviate pressure on congested network resources. However, when multiple competing users share these resources, they may not be willing to reveal the flexibility of the schedule for their jobs. This work presents a trading system that enables the users to trade their finite allowances(More)
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