58,573 research outputs found
Technical pre-study for the ExMS project
This report aims to give an overview of software and hardware platforms available now or in the near future for building a prototype of an ExMS application (for an overview of the ExMS project, see Appendix). The report also gives an overview of the different technologies for building third-party mobile client software applications that are in use today.
The report is composed of three sections. The first section is a general discussion on mobile client software and the different technologies that can be used to develop third-party mobile client software. The next section continues with a specific discussion on ExMS and answers the following questions: What is the general architecture of the ExMS application? What alternatives exist for implementing the ExMS prototype? The final section of the report is a recommendation of hardware and software platform for building the ExMS prototype
Measuring and Managing Answer Quality for Online Data-Intensive Services
Online data-intensive services parallelize query execution across distributed
software components. Interactive response time is a priority, so online query
executions return answers without waiting for slow running components to
finish. However, data from these slow components could lead to better answers.
We propose Ubora, an approach to measure the effect of slow running components
on the quality of answers. Ubora randomly samples online queries and executes
them twice. The first execution elides data from slow components and provides
fast online answers; the second execution waits for all components to complete.
Ubora uses memoization to speed up mature executions by replaying network
messages exchanged between components. Our systems-level implementation works
for a wide range of platforms, including Hadoop/Yarn, Apache Lucene, the
EasyRec Recommendation Engine, and the OpenEphyra question answering system.
Ubora computes answer quality much faster than competing approaches that do not
use memoization. With Ubora, we show that answer quality can and should be used
to guide online admission control. Our adaptive controller processed 37% more
queries than a competing controller guided by the rate of timeouts.Comment: Technical Repor
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