Titlebook: Building a Columnar Database on RAMCloud; Database Design for Christian Tinnefeld Book 2016 Springer International Publishing Switzerland

prediabetes

HAVOC

和平

Yves Métivier,Nasser Saheb,Akka Zemmarimapping, column partitioning, and the design of the operators itself. We first derive an abstract system model which is later used to predict execution costs analytically for different scenarios. Afterwards, we use our cost model to evaluate operator push-down and data pull execution strategies and

Buttress

Gilbert Labelle,Cédric Lamathe,Pierre Lerouxrent operator execution strategies (data pull vs. operator push). Two different workloads are being used: an analytical workload consisting of the Star Schema Benchmark in Sect.?. and a mixed workload based on point-of-sales customer data from a large European retailer in Sect.?.. The used hardware

Dissonance

駕駛

Distribution of WHT RecurrencesDB nodes. In this chapter we want to put the pieces together by maintaining a constant query execution time by resizing the RAMCloud cluster online under a changing load which is represented by a varying amount of AnalyticsDB nodes executing the Star Schema Benchmark.

Forage飼料

Mathematics and Computer Science IIIof minimizing network traffic and thereby preserve the main memory performance advantage (as discussed in Chap.?.). The advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage technology feasible. A modern storage system such as RAMCloud

期滿

廢止

In-Memory Data Management Researchhttp://image.papertrans.cn/b/image/191809.jpg

散步

Elasticity EvaluationDB nodes. In this chapter we want to put the pieces together by maintaining a constant query execution time by resizing the RAMCloud cluster online under a changing load which is represented by a varying amount of AnalyticsDB nodes executing the Star Schema Benchmark.