Load is not what you should balance: Introducing Prequal
We present Prequal (Probing to Reduce Queuing and Latency), a load balancer for distributed multi-tenant systems. Prequal aims to minimize real-time request latency in the presence of heterogeneous server capacities and non-uniform, time-varying antagonist load. It actively probes server load to leverage the power-of-d-choices paradigm, extending it with asynchronous and reusable probes. Cutting a
Scope Graphs | A Theory of Name Resolution
Names are crucial for organizing and understanding programs. Yet names and name binding get a second class treatment in programming language definition. We have a fairly standardized approach based on context-free grammars to provide tool independent descriptions of the syntax of programming languages. There is no analog for describing the name binding rules of programming languages. It is hard to
量子暗号通信の仕組みと開発動向
RSA AES 1 BB84 Y-00 E-mail: hitoshi.gotou-1@boj.or.jp / /2009.10 107 1. 2008 10 9 20 km 1.02 Mbps 100 km 10.1 kbps 1 Gbps 10 Gbps VPN 7 km 2. 1 3 2 1 2 108 /2009.10 1 2 2 109 2 ID IC KEELOQ 1 1 EUROCRYPT2008 50 2 IC IC 3 3 a DES AES Camellia MISTY1 1 http://www.iacr.org/conferences/eurocrypt2008/sessions/SebastianIndesteege_20080414.pdf 110 /2009.10 3 a b 3 b RSA 2 1 1 100 100 100 �� � �� 5,000 We
Semantic Sensitive TF-IDF to Determine Word Relevance in Documents
Keyword extraction has received an increasing attention as an important research topic which can lead to have advancements in diverse applications such as document context categorization, text indexing and document classification. In this paper we propose STF-IDF, a novel semantic method based on TF-IDF, for scoring word importance of informal documents in a corpus. A set of nearly four million do
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Robust-first computing: Demon Horde Sort (full version)
https://www.diva-portal.org/smash/get/diva2:1302887/FULLTEXT01.pdf
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Sensitive Data Detection with High-Throughput Neural Network Models for Financial Institutions
