語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A Restful Web Server with Predictive...
~
Ready, Michael Tyler.
FindBook
Google Book
Amazon
博客來
A Restful Web Server with Predictive Failure and Performance Monitoring.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Restful Web Server with Predictive Failure and Performance Monitoring./
作者:
Ready, Michael Tyler.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
96 p.
附註:
Source: Masters Abstracts International, Volume: 80-09.
Contained By:
Masters Abstracts International80-09.
標題:
Computer Engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13428244
ISBN:
9780438903647
A Restful Web Server with Predictive Failure and Performance Monitoring.
Ready, Michael Tyler.
A Restful Web Server with Predictive Failure and Performance Monitoring.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 96 p.
Source: Masters Abstracts International, Volume: 80-09.
Thesis (M.S.E.E.)--University of South Alabama, 2019.
This item must not be sold to any third party vendors.
Statistical analysis is a critical part of assessing computing systems. Data-based estimates of performance and failure rates can help organizations make cost efficient decisions. Modern monitoring software relies heavily on HTTP interfacing. Specifically, RESTful API's have become an industry standard for reporting system state over Internet connections. However, the Simple Networking Management Protocol (SNMP) is currently the only source of much performance and system data. Therefore, a RESTful API web service monitoring a computer could reduce effort and overhead in acquiring statistical data. Our service consists of the following components: 1. Machine Learning-based Predicitve 2. Real-time Statistics Monitoring. 3. Authentication.
ISBN: 9780438903647Subjects--Topical Terms:
1567821
Computer Engineering.
A Restful Web Server with Predictive Failure and Performance Monitoring.
LDR
:01833nmm a2200337 4500
001
2208799
005
20191025102416.5
008
201008s2019 ||||||||||||||||| ||eng d
020
$a
9780438903647
035
$a
(MiAaPQ)AAI13428244
035
$a
(MiAaPQ)southalabama:10643
035
$a
AAI13428244
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Ready, Michael Tyler.
$3
3435851
245
1 0
$a
A Restful Web Server with Predictive Failure and Performance Monitoring.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
96 p.
500
$a
Source: Masters Abstracts International, Volume: 80-09.
500
$a
Publisher info.: Dissertation/Thesis.
500
$a
Advisor: Lazarou, Georgios.
502
$a
Thesis (M.S.E.E.)--University of South Alabama, 2019.
506
$a
This item must not be sold to any third party vendors.
520
$a
Statistical analysis is a critical part of assessing computing systems. Data-based estimates of performance and failure rates can help organizations make cost efficient decisions. Modern monitoring software relies heavily on HTTP interfacing. Specifically, RESTful API's have become an industry standard for reporting system state over Internet connections. However, the Simple Networking Management Protocol (SNMP) is currently the only source of much performance and system data. Therefore, a RESTful API web service monitoring a computer could reduce effort and overhead in acquiring statistical data. Our service consists of the following components: 1. Machine Learning-based Predicitve 2. Real-time Statistics Monitoring. 3. Authentication.
590
$a
School code: 0491.
650
4
$a
Computer Engineering.
$3
1567821
650
4
$a
Electrical engineering.
$3
649834
650
4
$a
Computer science.
$3
523869
690
$a
0464
690
$a
0544
690
$a
0984
710
2
$a
University of South Alabama.
$b
Engineering.
$3
3435852
773
0
$t
Masters Abstracts International
$g
80-09.
790
$a
0491
791
$a
M.S.E.E.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13428244
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9385348
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入