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Daniel Zappala
Researcher at Brigham Young University
Publications - 93
Citations - 4437
Daniel Zappala is an academic researcher from Brigham Young University. The author has contributed to research in topics: Email encryption & Multicast. The author has an hindex of 26, co-authored 90 publications receiving 4241 citations. Previous affiliations of Daniel Zappala include University of Oregon.
Papers
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Journal ArticleDOI
RSVP: a new resource ReSerVation Protocol
TL;DR: The resource reservation protocol (RSVP) as discussed by the authors is a receiver-oriented simplex protocol that provides receiver-initiated reservations to accommodate heterogeneity among receivers as well as dynamic membership changes.
Journal ArticleDOI
RSVP: a new resource reservation protocol
TL;DR: A resource reservation protocol (RSVP), a flexible and scalable receiver-oriented simplex protocol, that provides receiver-initiated reservations to accommodate heterogeneity among receivers as well as dynamic membership changes and supports a dynamic and robust multipoint-to-multipoint communication model.
Book ChapterDOI
RSVP: A New Resource ReSerVation Protocol: Novel design features lead to an Internet protocol that is flexible and scalable.
TL;DR: This chapter tries to make the general design of RSVP relatively independent of the architectural components, so the choice of route can depend on the quality of service requested, and the stability of the route can be maintained over the duration of the reservation.
Proceedings ArticleDOI
Low latency and cheat-proof event ordering for peer-to-peer games
TL;DR: The definition of cheating is broadened to include four common protocol level cheats and it is demonstrated how NEO prevents these cheats, a low-latency event ordering protocol for massively-multiplayer games.
Book ChapterDOI
Cluster computing on the fly : P2P scheduling of idle cycles in the internet
TL;DR: A Wave Scheduler for workpile tasks that exploits idle night-time cycles using a geographic-based overlay and a Point-of-Presence Scheduler to discover and schedule hosts that meet application-specific requirements for location, topological distribution, and available resources are described.