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This paper initiates a new study on online partitioning algorithms that are sequentially optimized for a query sequence. As queries arrive one at a time, given the option to reconfigure the partition after each query so that it can best serve the next query, the objective is to minimize the query read cost and data migration cost. This is an online problem without an optimal solution; online heuristics...
Online social networking has become ubiquitous. For a social storage system to keep pace with increasing amounts of user data and activities, a natural solution is to deploy more servers. An important design problem then is how to partition the data across the servers so that server efficiency and load balancing can both be maximized. Although data partitioning is well-studied in the literature of...
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