A Mid-Flight Synopsis of the BG Social Networking Benchmark

Ghandeharizadeh, Shahram; Barahmand, Sumita

doi:10.1007/978-3-319-10596-3_2

Cited by 5 publications

(2 citation statements)

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“…We used a social networking benchmark named BG [1,2,6,7] to generate traces of key-value references from a cache augmented database management system [10]. BG emulates members of a social networking site viewing one another's profile, listing their friends, and other interactive actions.…”

Section: Discussionmentioning

confidence: 99%

Camp

Ghandeharizadeh

Irani

Lam

et al. 2014

Proceedings of the 15th International Middleware Conference on - Middleware '14

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Cost Adaptive Multi-queue eviction Policy (CAMP) is an algorithm for a general purpose key-value store (KVS) that manages key-value pairs computed by applications with different access patterns, key-value sizes, and varying costs for each key-value pair. CAMP is an approximation of the Greedy Dual Size (GDS) algorithm in that its eviction policy is as effective as GDS. At the same time, its implementation is as efficient at LRU. Similar to an implementation of LRU using queues, it adapts to changing workload patterns based on the history of requests for different key-value pairs. It is superior to LRU because it considers both the size and cost of key-value pairs to maximize the utility of the available memory across competing applications. We compare CAMP with both LRU and an alternative that requires human intervention to partition memory into pools and assign grouping of key-value pairs to different pools. The results demonstrate CAMP is as fast as LRU while outperforming both LRU and the pooled alternative. We also present results from an implementation of CAMP using Twitter's version of memcached.

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Section: Discussionmentioning

confidence: 99%

Camp

Ghandeharizadeh

Irani

Lam

et al. 2014

Proceedings of the 15th International Middleware Conference on - Middleware '14

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“…We demonstrate KOSAR using a social networking benchmark named BG [1,2] with both MySQL and Oracle RDBMSs. With BG, we emulate a workload consisting of 300 socialites performing actions such as viewing a member profile, inviting a member to be friends, accepting a friendship invitation, and several others.…”

Section: Introductionmentioning

confidence: 99%

A demonstration of KOSAR

Ghandeharizadeh¹,

Gorman²,

Irani³

et al. 2014

Proceedings of the Posters &Amp; Demos Session on - Middleware Posters and Demos '14

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This is a demonstration of KOSAR, a middleware to enhance the performance of SQL applications with workloads that exhibit a high read to write ratios. It show cases the administrative interface of KOSAR using a social networking benchmark named BG. We demonstrate KOSAR with both MySQL and Oracle by turning it on and off to show its many fold performance enhancement of these relational databases management systems. The proposed demo is available online at http://kosarsql.com and one may both examine the features described in this proposal and perform its suggested interactive actions.

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