Almost every computing system
nowadays is distributed, ranging from multi-core laptops to
Internet-scale services; understanding the principles of distributed
computing is hence important for the design and engineering of modern
computing systems. Fundamental issues that arise in reliable and
efficient distributed systems include developing adequate methods for
modeling failures and synchrony assumptions, determining precise
performance bounds on implementations of concurrent data structures,
capturing the trade-off between consistency and efficiency, and
demarcating the frontier of feasibility in distributed computing.
For example, popular Internet services and applications such as CNN.com, YouTube, Facebook, Skype, BitTorrent attract millions of users every day, and only by the effective load-balancing and collaboration of many thousand machines, an acceptable Quality-of-Service/Quality-of-Experience can be guaranteed. While distributed systems promise a good scalability as well as a high robustness, they pose challenging research problems, such as: How to design robust and scalable distributed architectures and services? How to coordinate access to a shared resource, e.g., by electing a leader? Or how to provide incentives for cooperation in an open, collaborative distributed system?
|Author||Meier, Dominic and Oswald, Yvonne Anne and Schmid, Stefan and Wattenhofer, Roger|
|Title of Book||9th ACM Conference on Electronic Commerce (EC)|
|Location||Chicago, Illinois, USA|
|Abstract||This paper studies a virus inoculation game on social networks. A framework is presented which allows the measuring of the windfall of friendship, i.e., how much players benefit if they care about the welfare of their direct neighbors in the social network graph compared to purely selfish environments. We analyze the corresponding equilibria and show that the computation of the worst and best Nash equilibrium is NP-hard. Intriguingly, even though the windfall of friendship can never be negative, the social welfare does not increase monotonically with the extent to which players care for each other. While these phenomena are known on an anecdotal level, our framework allows us to quantify these effects analytically.|