Software as a Service for Data Scientists

被引：147

作者：

Allen, Bryce ^{[1
]}

Bresnahan, John ^{[2
]}

Childers, Lisa ^{[1
,2
]}

Foster, Ian ^{[3
]}

Kandaswamy, Gopi ^{[4
,5
]}

Kettimuthu, Raj ^{[2
,3
]}

Kordas, Jack ^{[1
]}

Link, Mike ^{[1
]}

Martin, Stuart ^{[1
]}

Pickett, Karl ^{[1
]}

Tuecke, Steven ^{[1
]}

机构：

[1] Univ Chicago, Computat Inst, Argonne, IL 60439 USA

[2] Argonne Natl Lab, Math & Comp Sci Div, Argonne, IL 60439 USA

[3] Argonne Natl Lab, Computat Inst, Argonne, IL 60439 USA

[4] Tata Consultancy Serv, Los Angeles, CA USA

[5] Inst Informat Sci, Los Angeles, CA USA

来源：

COMMUNICATIONS OF THE ACM | 2012年 / 55卷 / 02期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1145/2076450.2076468

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Efforts are being made to deliver research data-management capabilities to users as a hosted 'software as a service' (SaaS) to address the challenges of computational crisis in many laboratories and a growing need for far more powerful data-management tools. SaaS is a software-delivery model in which software is hosted centrally and accessed by users using a thin client over the Internet. SaaS leverages intuitive Web 2.0 interfaces, deep domain knowledge, and economies of scale to deliver capabilities are easier to use, more capable, or more cost-effective than software accessed through other means as demonstrated in many business and consumer tools. The opportunity for continuous improvement via dynamic deployment of new features and bug fixes is also significant, along with the potential for expert operators to intervene and troubleshoot on the user's behalf.

引用

页码：81 / 88

页数：8

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