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- W2952680362 abstract "We explore a real-time Twitter search application where tweets are arriving at a rate of several thousands per second. Real-time search demands that they be indexed and searchable immediately, which leads to a number of implementation challenges. In this paper, we focus on one aspect: dynamic postings allocation policies for index structures that are completely held in main memory. The core issue can be characterized as a Goldilocks Problem. Because memory remains today a scare resource, an allocation policy that is too aggressive leads to inefficient utilization, while a policy that is too conservative is slow and leads to fragmented postings lists. We present a dynamic postings allocation policy that allocates memory in increasingly-larger slices from a small number of large, fixed pools of memory. Through analytical models and experiments, we explore different settings that balance time (query evaluation speed) and space (memory utilization)." @default.
- W2952680362 created "2019-06-27" @default.
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- W2952680362 date "2013-02-21" @default.
- W2952680362 modified "2023-09-23" @default.
- W2952680362 title "Dynamic Memory Allocation Policies for Postings in Real-Time Twitter Search" @default.
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