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Bu-Sung Lee
Researcher at Nanyang Technological University
Publications - 187
Citations - 7526
Bu-Sung Lee is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Cloud computing & Scheduling (computing). The author has an hindex of 38, co-authored 184 publications receiving 7115 citations. Previous affiliations of Bu-Sung Lee include Hewlett-Packard.
Papers
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Proceedings Article
Event Detection in Twitter
Jianshu Weng,Bu-Sung Lee +1 more
TL;DR: This paper attempts to tackle the challenges of event detection in Twitter with EDCoW (Event Detection with Clustering of Wavelet-based Signals), which builds signals for individual words by applying wavelet analysis on the frequencybased raw signals of the words.
Journal ArticleDOI
Optimization of Resource Provisioning Cost in Cloud Computing
TL;DR: Numerical studies are extensively performed in which the results clearly show that with the OCRP algorithm, cloud consumer can successfully minimize total cost of resource provisioning in cloud computing environments.
Book ChapterDOI
A-STAR: A Mobile Ad Hoc Routing Strategy for Metropolis Vehicular Communications
TL;DR: This paper proposes a new position-based routing scheme called Anchor-based Street and Traffic Aware Routing (A-STAR), designed specifically for IVCS in a city environment, and shows significant performance improvement in a comparative simulation study with other similar routing approaches.
Proceedings ArticleDOI
TrustCloud: A Framework for Accountability and Trust in Cloud Computing
Ryan K. L. Ko,Peter Jagadpramana,Miranda Mowbray,Siani Pearson,Markus Kirchberg,Qianhui Liang,Bu-Sung Lee +6 more
TL;DR: The Trust Cloud framework as mentioned in this paper addresses accountability in cloud computing via technical and policy-based approaches and discusses key issues and challenges in achieving a trusted cloud through the use of detective controls.
Proceedings ArticleDOI
Optimal virtual machine placement across multiple cloud providers
TL;DR: An optimal virtual machine placement (OVMP) algorithm can minimize the cost spending in each plan for hosting virtual machines in a multiple cloud provider environment under future demand and price uncertainty.