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Yuefan Deng

Researcher at Stony Brook University

Publications -  120
Citations -  1986

Yuefan Deng is an academic researcher from Stony Brook University. The author has contributed to research in topics: Multiscale modeling & Network topology. The author has an hindex of 22, co-authored 114 publications receiving 1785 citations. Previous affiliations of Yuefan Deng include Brookhaven National Laboratory & State University of New York System.

Papers
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Patent

Method and system for providing dynamic hosted service management across disparate accounts/sites

TL;DR: In this paper, a hosted service provider for the Internet is operated so as to provide dynamic management of hosted services across disparate customer accounts and/or geographically distinct sites, such as Amazon EC2.
Patent

System for balance distribution of requests across multiple servers using dynamic metrics

TL;DR: In this article, a system for distributing incoming client requests across multiple servers in a networked client-server computer environment processes all requests as a set that occur within a given time interval and collects information on the attributes of the requests and the resource capability of the servers to dynamically allocate requests in a set to the appropriate servers upon completion of the time interval.
Journal ArticleDOI

Nature of the deconfining phase transition in SU(3) lattice gauge theory.

TL;DR: Monte Carlo calculations on lattices with large spatial volume show that the SU(3) deconfining phase transition is more weakly first order than previously thought.
Journal ArticleDOI

Parallel Simulated Annealing by Mixing of States

TL;DR: The results of testing the performance of a new, efficient, and highly general-purpose parallel optimization method, based upon simulated annealing, applied to analyze the network of interacting genes that control embryonic development and other fundamental biological processes are reported.
Book

Applied Parallel Computing

Yuefan Deng
TL;DR: This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.