scholarly journals Smart Central-Service Monitoring System for Metropolitan City People

2020 ◽  
Vol 8 (7) ◽  
pp. 460-463
Author(s):  
Harshith S
Keyword(s):  
Monitoring System ◽  
Metropolitan City ◽  
Service Monitoring ◽  
Central Service

Monitoring Services in a Federated Cloud

2012 ◽  
pp. 242-265 ◽  
Author(s):  
Stuart Clayman ◽  
Giovanni Toffetti ◽  
Alex Galis ◽  
Clovis Chapman
Keyword(s):  
Cloud Computing ◽  
Crystal Structures ◽  
Monitoring System ◽  
Computational Prediction ◽  
Use Case ◽  
Cloud Environment ◽  
Reservoir Architecture ◽  
Service Monitoring ◽  
Case Application ◽  
Service Cloud

This chapter presents the need, the requirements, and the design for a monitoring system that is suitable for supporting the operations and management of a Federated Cloud environment. The chapter discusses these issues within the context of the RESERVOIR Service Cloud computing project. It first presents the RESERVOIR architecture itself, then introduces the issues of service monitoring in a federated environment, together with the specific solutions that have been devised for RESERVOIR. It ends with a review of the authors’ experience in this area by showing a use-case application executing on RESERVOIR, which is responsible for the computational prediction of organic crystal structures.

Organization of Skype for Business service monitoring to optimize the services support Department

2018 ◽  
Vol 35 (2) ◽  
pp. 25-31
Author(s):  
S. V. Grigorieva ◽  
N. G. Igoshkina ◽  
O. G. Vasilyeva
Keyword(s):  
Monitoring System ◽  
Business Service ◽  
System Monitoring ◽  
Service Monitoring ◽  
Skype For Business

This article is devoted to the development of a monitoring system for Skype for Business service to optimize the services support Department. The development of the system was performed using the software of Microsoft Power BI. The developed monitoring system is able to perform the following functions: the ability to monitor the trend in the use of the service; prompt update of data in the system; monitoring of the most frequent errors; determining the trend of errors; collection of information about the quality of calls; collecting impact. 

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