Tata Institute of Fundamental Research

Load Balancing Via Random Local Search

Speaker: Ayalvadi Ganesh (University of Bristol Department of Mathematics University Walk, Clifton Bristol, BS8 1TW United Kingdom)
Organiser: Sandeep K Juneja
Date: Thursday, 23 Aug 2012, 11:00 to 12:00
Venue: A-212 (STCS Seminar Room)

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Abstract:  We analyze the performance of random load resampling and migration strategies in parallel server systems. Clients initially attach to an arbitrary server, but may switch server independently at random instants of time in an attempt to improve their service rate. This approach to load balancing contrasts with traditional approaches where clients make smart server selections upon arrival (e.g., Join-the-Shortest-Queue policy and variants thereof). Load resampling is particularly relevant in scenarios where clients cannot predict the load of a server before being actually attached to it. An important example is in wireless spectrum sharing where clients try to share a set of frequency bands in a distributed manner.