Analysis of Web-Scale Cloud Services

被引：32

作者：

Noor, Talal H. ^{[1
]}

Sheng, Quan Z. ^{[2
]}

Ngu, Anne H. H. ^{[3
]}

Dustdar, Schahram ^{[4
,5
]}

机构：

[1] Taibah Univ, Dept Comp Sci, Yanbu, Saudi Arabia

[2] Univ Adelaide, Adv Web Technol Res Grp, Sch Comp Sci, Adelaide, SA 5005, Australia

[3] Texas State Univ, Dept Comp Sci, Round Rock, TX USA

[4] Vienna Univ Technol, Vienna, Austria

[5] Vienna Univ Technol, Distributed Syst Grp, Inst Informat Syst, Vienna, Austria

来源：

IEEE INTERNET COMPUTING | 2014年 / 18卷 / 04期

基金：

澳大利亚研究理事会;

关键词：

Cloud computing; Clouds; Ontologies; Crawlers; Search engines; trust; cloud service; service discovery; crawling; WSDL; WADL; QoS; CHALLENGES;

D O I：

10.1109/MIC.2014.64

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Cloud services have unique characteristics, including dynamic and diverse service offerings at different levels, few standardized description languages, and varied deployment platforms. Searching such services is thus challenging. The authors' cloud service crawler engine collects metadata about 5,883 cloud services over the Web after parsing more than half a million possible links. An extensive statistical analysis on this data gives an overall view of cloud service provisioning's current status.

引用

页码：55 / 61

页数：7

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