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TON
2010
136views more  TON 2010»
13 years 2 months ago
Distributed Opportunistic Scheduling With Two-Level Probing
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simpl...
P. S. Chandrashekhar Thejaswi, Junshan Zhang, Man-...
EENERGY
2010
13 years 11 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
ATMOS
2008
139views Optimization» more  ATMOS 2008»
13 years 9 months ago
Efficient On-Trip Timetable Information in the Presence of Delays
Abstract. The search for train connections in state-of-the-art commercial timetable information systems is based on a static schedule. Unfortunately, public transportation systems ...
Lennart Frede, Matthias Müller-Hannemann, Mat...
RTSS
2003
IEEE
14 years 23 days ago
Addressing Timeliness/Accuracy/Cost Tradeoffs in Information Collection for Dynamic Environments
In this paper, we focus on addressing the tradeoffs between timeliness, accuracy and cost for applications requiring real-time information collection in distributed real-time envi...
Qi Han, Nalini Venkatasubramanian
FGCS
2007
99views more  FGCS 2007»
13 years 7 months ago
Mining performance data for metascheduling decision support in the Grid
: Metaschedulers in the Grid needs dynamic information to support their scheduling decisions. Job response time on computing resources, for instance, is such a performance metric. ...
Hui Li, David L. Groep, Lex Wolters