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ACM Transactions on Computer Systems (TOCS), Volume 34 Issue 2, May 2016

EOLE: Combining Static and Dynamic Scheduling Through Value Prediction to Reduce Complexity and Increase Performance
Arthur Perais, André Seznec
Article No.: 4
DOI: 10.1145/2870632

Recent work in the field of value prediction (VP) has shown that given an efficient confidence estimation mechanism, prediction validation could be removed from the out-of-order engine and delayed until commit time. As a result, a simple recovery...

Full-Stack Architecting to Achieve a Billion-Requests-Per-Second Throughput on a Single Key-Value Store Server Platform
Sheng Li, Hyeontaek Lim, Victor W. Lee, Jung Ho Ahn, Anuj Kalia, Michael Kaminsky, David G. Andersen, Seongil O, Sukhan Lee, Pradeep Dubey
Article No.: 5
DOI: 10.1145/2897393

Distributed in-memory key-value stores (KVSs), such as memcached, have become a critical data serving layer in modern Internet-oriented data center infrastructure. Their performance and efficiency directly affect the QoS of web services and the...

Improving Resource Efficiency at Scale with Heracles
David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis
Article No.: 6
DOI: 10.1145/2882783

User-facing, latency-sensitive services, such as websearch, underutilize their computing resources during daily periods of low traffic. Reusing those resources for other tasks is rarely done in production services since the contention for shared...