International audienceThe ROADEF/EURO challenge is a contest jointly organized by the French Operational Research and Decision Aid society (ROADEF) and the European Operational Research society (EURO). The contest appears on a regular basis since 1999 and always concerns an industrial optimization problem proposed by an industrial partner. Google proposed a subject for the ROADEF/EURO challenge 2012 (http://challenge.roadef.org/2012/en/), presenting a complex and large-scale machine reassignment problem, where a set of processes assigned to a set of machines have to be reassigned (or moved) while balancing machine usage improvement and moving costs, under resource (more precisely CPU, RAM, disk) and operational constraints. The 2012 challen...
Google Machine Reassignment Problem (GMRP) is an optimisation problem proposed at ROADEF/EURO challe...
One of the main challenges in data centre operations involves optimally reassigning running processe...
International audienceThis paper proposes an efficient Multi-Start Iterated Local Search for Packing...
International audienceThe ROADEF/EURO challenge is a contest jointly organized by the French Operati...
Details our solution (team J19, qualified) to the EURO/ROADEF Challenge 2012, proposed by Google.Int...
International audienceThis paper proposes a new method for solving the Machine Reassignment Problem ...
Google Machine Reassignment Problem (GMRP) is a real world problem proposed at ROADEF/EURO challenge...
Google Machine Reassignment Problem (GMRP) is a real world problem proposed at ROADEF/EURO challenge...
International audienceThe ROADEF/EURO challenge is a contest jointly organized by the French Operati...
International audienceData centres are facilities with large amount of machines (i.e., servers) and ...
Google Machine Reassignment Problem (GMRP) is a recent real world problem proposed at ROADEF/EURO ch...
At a high level, data centres are large IT facilities hosting physical machines (servers) that often...
This paper investigates the Google machine reassignment problem (GMRP). GMRP is a real world optimis...
Data centres are facilities with large amount of machines (i.e., servers) and hosted processes (e.g....
International audienceThis special issue of the Journal of Scheduling is devoted to maintenance sche...
Google Machine Reassignment Problem (GMRP) is an optimisation problem proposed at ROADEF/EURO challe...
One of the main challenges in data centre operations involves optimally reassigning running processe...
International audienceThis paper proposes an efficient Multi-Start Iterated Local Search for Packing...
International audienceThe ROADEF/EURO challenge is a contest jointly organized by the French Operati...
Details our solution (team J19, qualified) to the EURO/ROADEF Challenge 2012, proposed by Google.Int...
International audienceThis paper proposes a new method for solving the Machine Reassignment Problem ...
Google Machine Reassignment Problem (GMRP) is a real world problem proposed at ROADEF/EURO challenge...
Google Machine Reassignment Problem (GMRP) is a real world problem proposed at ROADEF/EURO challenge...
International audienceThe ROADEF/EURO challenge is a contest jointly organized by the French Operati...
International audienceData centres are facilities with large amount of machines (i.e., servers) and ...
Google Machine Reassignment Problem (GMRP) is a recent real world problem proposed at ROADEF/EURO ch...
At a high level, data centres are large IT facilities hosting physical machines (servers) that often...
This paper investigates the Google machine reassignment problem (GMRP). GMRP is a real world optimis...
Data centres are facilities with large amount of machines (i.e., servers) and hosted processes (e.g....
International audienceThis special issue of the Journal of Scheduling is devoted to maintenance sche...
Google Machine Reassignment Problem (GMRP) is an optimisation problem proposed at ROADEF/EURO challe...
One of the main challenges in data centre operations involves optimally reassigning running processe...
International audienceThis paper proposes an efficient Multi-Start Iterated Local Search for Packing...