Analysis of Quality Metrics within Cloud Computing SLAs

This report examines the quality metrics within Service Level Agreements (SLAs) in cloud computing. It focuses on two key metrics: availability and performance. Availability is defined as the ability of users to access services, with SLAs often guaranteeing a specific uptime percentage, such as 99.9%. The report highlights the importance of high availability in cloud computing to meet unpredictable demand. Performance is another crucial metric, with cloud computing environments expected to provide improved performance. Cloud performance management involves monitoring benchmarks to assess system functionality and identify areas for improvement. The report emphasizes the need for performance testing to analyze response times under various workloads and ensure that the SLA is responsive to customer needs. References to supporting literature are included.

Running head: CLOUD COMPUTING
Quality metrices of SLA
Name of the Student
Name of the University
Author’s Note

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Table of Contents
1. Quality metrices in SLAs............................................................................................................2
1.1 Availability............................................................................................................................2
1.2 Performance...........................................................................................................................3
References........................................................................................................................................4

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1. Quality metrices in SLAs
Service level agreement (SLA) is one of the service contract components between a
customer as well as a service provider. A SLA helps in providing specific as well as different
measurable aspects that are mainly related with the service offering (Hani, Paputungan and
Hassan 2015). Service providers generally requires SLAs for helping them to properly manage
the expectations of the customers and for defining the circumstances quite effectively under
which they are generally not liable for the outrages or for the different types of performance-
based issues and challenges. The quality metrices of SLA include availability, reliability,
performance, scalability, resiliency as well as security.
1.1 Availability
High availability is one of the quality metrics of SLA that generally aims for ensuring
that a proper level of performance related with uptime will generally be higher in comparison to
the normal period. Availability generally refers to the ability of the user community of obtaining
good services (Joshi and Pearce 2015). The SLA level of 99.9% uptime/availability that
generally results in following proper period of downtime as well as proper unavailability. As per
the calculation of SLA, it is assumed by the SLA to have proper continuous uptime with
additional approximation. It is found that cloud computing has generally become very much
important as well as essential to live different types of live services that are generally offered as
well as maintained by different companies (Ortiz et al. 2015). It is found that its infrastructure
should properly attend proper unpredictable demand and must be available for the end clients. In
addition to this, the service level agreement is mainly designed for ensuring that the needs of the
customers are met properly for outlining the level of service that is generally expected. It further
helps in illustrating about the credit for which the customer is generally eligible for unlikely the

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event of the breach in these types of levels. Proper server availability SLA is helpful in ensuring
the network connectivity to the different servers.
1.2 Performance
It is found that any of the enterprises that generally adopts cloud computing services
generally helps in expecting improved performance that generally have an elastic computing
environment. On the other hand, cloud performance management is one of the practices that
generally addresses various types of metrices as well as benchmarks for the entire cloud systems
(Bajo et al. 2016). It is generally utilized for determining how the entire cloud system is properly
functioning and what type of improvements can generally be made within the entire system. The
SLA is very much responsive and thus the customers does not face issues related with the
performance of the SLA. It is found that performance testing is required to be done for analyzing
the response time of the user actions at a very much low workload. It is found that any type of
user action where the response time generally seems to be very much higher than that is traced,
monitored, checked for determining the different types of inefficiencies (Joshi and Pearce 2015).
As the entire workload gets increased, the performance-based tester can look for analyzing the
response time based on transactions for deviating from the baseline as the workload generally
enhances.

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References
Bajo, J., De la Prieta, F., Corchado, J.M. and Rodríguez, S., 2016. A low-level resource
allocation in an agent-based Cloud Computing platform. Applied Soft Computing, 48, pp.716-
728.
Hani, A.F.M., Paputungan, I.V. and Hassan, M.F., 2015. Renegotiation in service level
agreement management for a cloud-based system. ACM Computing Surveys (CSUR), 47(3), p.51.
Joshi, K.P. and Pearce, C., 2015, March. Automating cloud service level agreements using
semantic technologies. In 2015 IEEE International Conference on Cloud Engineering(pp. 416-
421). IEEE.
Ortiz, J., De Almeida, V.T. and Balazinska, M., 2015, January. Changing the Face of Database
Cloud Services with Personalized Service Level Agreements. In CIDR.