Efficient In-memory Data Management: An Analysis

Summary: Comparative analysis of Memcached, Redis, and Spark RDD for in-memory data management across analytics and key-value workloads. TCP/IP bottlenecks in Memcached/Redis; RDD startup hinders random gets; defines features for efficient in-memory systems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10959
Venue: VLDB
Year: 2014
Pagerank: 5.010074e-05
Overall Rank: 6,560 | 54.37%
DOI: -

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,751	Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores	2015	VLDB	8.1760621e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

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