J
Juan Li
Researcher at North Dakota State University
Publications - 69
Citations - 1255
Juan Li is an academic researcher from North Dakota State University. The author has contributed to research in topics: Semantic grid & Scalability. The author has an hindex of 19, co-authored 64 publications receiving 1100 citations. Previous affiliations of Juan Li include University of British Columbia.
Papers
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Journal ArticleDOI
An overview of energy efficiency techniques in cluster computing systems
Giorgio Luigi Valentini,Walter Lassonde,Samee U. Khan,Nasro Min-Allah,Sajjad A. Madani,Juan Li,Limin Zhang,Lizhe Wang,Nasir Ghani,Joanna Kolodziej,Hongxiang Li,Albert Y. Zomaya,Cheng-Zhong Xu,Pavan Balaji,Abhinav Vishnu,Fredric Pinel,Johnatan E. Pecero,Dzmitry Kliazovich,Pascal Bouvry +18 more
TL;DR: This survey focuses on the characteristic of two main power management technologies:static power management systems that utilize low-power components to save the energy, and dynamic power management techniques that utilize software and power-scalable components to optimize the energy consumption.
Journal ArticleDOI
Community-based collaborative information system for emergency management
TL;DR: A strategy to form a community-based virtual database, which connects local resource databases of suppliers that provide information and human resources for emergency management and maximally utilizes all of the available information and network resources of a community to better manage natural and man-made disasters is proposed.
Journal ArticleDOI
Editorial: A special section on Emerging Platform Technologies
Changhoon Lee,Kyusuk Han,Juan Li +2 more
TL;DR: The aim of this issue is to promote interdisciplinary research in platform technologies and other applied fields in mathematics, engineering and sciences to investigate specific methodologies and develop technologies that will contribute to the development of the future infrastructure.
Journal ArticleDOI
Comparison and analysis of eight scheduling heuristics for the optimization of energy consumption and makespan in large-scale distributed systems
TL;DR: A total of eight heuristics are introduced to solve the task scheduling problem, with the aim to simultaneously minimize energy consumption and makespan subject to the deadline constraints and the tasks’ memory requirements.
Proceedings ArticleDOI
A semantics-based routing scheme for grid resource discovery
Juan Li,Son T. Vuong +1 more
TL;DR: This paper proposes a peer-to-peer (P2P) based overlay network to assist the efficient resource discovery and query, based on the RDF metadata infrastructure, allowing a rich and extensible description of resources.