End-to-end service data analysis: Efficiencies achieved across the enterprise

被引：1

作者：

Herger, L. M. ^{[1
]}

Rippon, W. J. ^{[1
]}

Fonseca, C. A. ^{[1
]}

Pointer, W. ^{[1
]}

Belgodere, B. M. ^{[1
]}

Cornejo, W. H. ^{[1
]}

Frissora, M. J. ^{[1
]}

机构：

[1] Thomas J Watson Res Ctr, IBM Res, Yorktown Hts, NY 10598 USA

来源：

IBM JOURNAL OF RESEARCH AND DEVELOPMENT | 2017年 / 61卷 / 01期

关键词：

FRAMEWORK;

D O I：

10.1147/JRD.2016.2626858

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Managing and optimizing a wide variety of information technology (IT) infrastructures, services, and data-ranging from prototypes and pilots to custom and production environments-in an efficient and cost-effective manner requires the ability to ingest and analyze a continuous stream of data from various sources. To complement this analysis, the IBM Research Integrated Solutions Group uses a high degree of automation for the ingestion and analysis of data. It is through these mechanisms that the overall intelligent framework we have developed is able to significantly advance the delivery of robust, secure, and compliant environments that perform at optimal levels for the worldwide IBM Research enterprise-which is distributed across 6 continents and 12 laboratories-as well as for the worldwide IBM corporate enterprise.

引用

页码：5 / 16

页数：12

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