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Many applications cache huge amount of data in RAM to achieve high performance. A good example is Memcached, a distributed-memory object-caching software. Memcached performance directly depends on the aggregated memory pool size. Given the constraints of hardware cost, power/thermal concerns and floor plan limits, it is difficult to further scale the memory pool by packing more RAM into individual...
The problem of efficiently maintaining a large number (say millions) of statistics counters that need to be updated at very high speeds (e.g., 40 Gb/s) has received considerable research attention in recent years. This problem arises in a variety of router management and data streaming applications where large arrays of counters are used to track various network statistics and implement various counting...
Priority queues are an essential building block for implementing advanced per-flow service disciplines at high-speed network links. In this paper, we propose novel solutions to the scalable implementation of priority queues by decomposing the problem into two parts, a succinct priority index in SRAM that can efficiently maintain a real-time sorting of priorities, coupled with a DRAM-based implementation...
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