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Handbook of Data Intensive Computing
Data volumes have been increasing substantially over the past several years. Such data is often processed concurrently on a distributed collection of machines to ensure reasonable completion times. Load balancing is one of the most important issues in data intensive computing. Often, the choice of the load balancing strategy has implications not just for reduction of execution times, but also on energy usage, network overhead, and costs. Applications that are faced with processing large datadoi:10.1007/978-1-4614-1415-5_6 fatcat:aj7uycimt5f65aeku64lbc7chm