A Comparative Study of a Client Based Vendor Neutral Cloud QoS Monitoring Tool and Cloud Providers’ Platform Integrated QoS Monitoring Tools
Frankline Makokha,
Christopher K. Chepken and
Elisha Opiyo
European Journal of Electrical Engineering and Computer Science, 2020, vol. 4, issue 1
Abstract:
Cloud service providers have a QoS monitoring capability integrated in their cloud platforms. This is to aid in monitoring the performance of the platform as well as for Service Level Agreement confirmation to the clients. Unfortunately this arrangement serves the interest of the cloud provider more than the cloud client since the service providers gauge their services using their own tools. This paper performs a comparative study on the capabilities of the client based vendor neutral QoS tool, developed from a vendor neutral QoS monitoring model against the cloud provider integrated QoS monitoring tools. The comparison was done on four global SaaS cloud service providers, namely SalesForce, Google, Hubspot and Shopify. From the comparative study, it emerged that the client based vendor neutral tool has more capabilities than the cloud provider integrated tools since it has the capability to monitor three key QoS metrics, namely service response time, service availability and service stability as opposed to the cloud providers’ tools which only have one quantitative capability. Further the vendor neutral model can be used across any cloud platform that is accessible via the web browser. This provides a capability for cross platform performance comparison for the various cloud providers. This can aid in decision making with regards to which cloud service provider to procure based on the desired performance.
Keywords: Client Based; QoS, Service Availability, , Service Response Time , Service Stability, Vendor Neutral Model (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://eu-opensci.org/index.php/ejece/article/view/19172 Abstract page (text/html)
https://eu-opensci.org/index.php/ejece/article/download/19172/11079 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:epw:ejece0:v:4:y:2020:i:1:id:19172
DOI: 10.24018/ejece.2020.4.1.172
Access Statistics for this article
More articles in European Journal of Electrical Engineering and Computer Science from European Open Science
Bibliographic data for series maintained by support ().