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TON
2010
136views more  TON 2010»
14 years 4 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
15 years 1 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»
14 years 11 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
15 years 2 months 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»
14 years 9 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