Towards Compensable SLAs

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This document discusses making service level agreements (SLAs) between cloud service providers and customers more "compensable". It introduces the concept of a compensable SLA that provides financial compensation to customers if the provider does not meet agreed upon service level objectives (SLOs). It outlines a framework for defining compensable guarantees, calculating compensation functions based on SLOs and utility to the customer, and building tools to automate monitoring, claiming compensation, and analyzing risk. The goal is to help both providers and customers better understand performance risks, the customer's resource usage, and the potential for increased competitiveness or customer acceptance through customizable compensable SLAs.

Education

Provision
Compliance
Monitor
Workload optimization
QoS
SLA
Customizing
Pricing
Service Level Objective

What is my risk?
Should I change my provider?
Am I using all the resources
that I paid for?
Can I be more competitive?
Can I accept more customers?
Should I break my guarantees?
SLA

Compensations
Pricing
Availability
Analysis SLA-Driven
SaaS

Compensations
Pricing
Availability
Analysis SLA-Driven
SaaS
Compensable
SLA
Compensable
Guarantee

Valid = Consistent + Saturated
v1 ≤ v1 (Increasing Utility Function)
v1 ≥ v1 (Decreasing Utility Function)
Interest
Precedence

Valid = Consistent + Saturated
v1 ≤ v1 (Increasing Utility Function)
v1 ≥ v1 (Decreasing Utility Function)
Interest
Precedence
SLO

Compensable Guarantee
Thresold is the less interesting value
Thresold should have no compensation

Modeling
Scalability Engine
Claiming Engine
Risk Dashboard
Analysis
Purchising
What is my risk?
Should I change my provider?
Am I using all the resources
that I paid for?
Can I be more competitive?
Can I accept more customers?
Should I break my guarantees?
Towards automation of Governance
SLA

Join CloudHealth as we take a deeper dive into what Cloud Service Management can help drive business success. Through real world customer success stories we'll tackle the three core pillars of Cloud Services Management, Visibility, Optimization and Governance Presented by - Elise Oertli - Director CloudHealth Technologies ANZ View the full presentation here - https://youtu.be/L-B8kYBEVGk Presented at AWS User Group Sydney https://www.meetup.com/AWS-Sydney/ Hosted by PolarSeven -http://polarseven.com

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Towards Compensable SLAs

1. Towards Compensable SLAs

2. Prof. Dr. Antonio Ruiz-Cortés

3. SLA ?

4. 4

5. Provision Compliance Monitor Workload optimization QoS SLA Customizing Pricing Service Level Objective

6. SLA

10. What is my risk? Should I change my provider? Am I using all the resources that I paid for? Can I be more competitive? Can I accept more customers? Should I break my guarantees? SLA

11. Domain SLA SLA Tools 1 2

12. iAgreeWS-Agreement

13. CSP Mapping SLA Modeling Analysis

14. Compensations Pricing Availability Analysis SLA-Driven SaaS

15. Compensations Pricing Availability Analysis SLA-Driven SaaS Compensable SLA Compensable Guarantee

16. SLO Compensations

17. Compensation Function Service property

18. Valid = Consistent + Saturated v1 ≤ v1 (Increasing Utility Function) v1 ≥ v1 (Decreasing Utility Function) Interest Precedence

19. Valid = Consistent + Saturated v1 ≤ v1 (Increasing Utility Function) v1 ≥ v1 (Decreasing Utility Function) Interest Precedence SLO

20. Compensable Guarantee Thresold is the less interesting value Thresold should have no compensation

21.

22. Compensations Pricing Availability Analysis SLA-Driven SaaS

23. www.isa.us.es/IDEAS

24. Modeling Scalability Engine Claiming Engine Risk Dashboard Analysis Purchising What is my risk? Should I change my provider? Am I using all the resources that I paid for? Can I be more competitive? Can I accept more customers? Should I break my guarantees? Towards automation of Governance SLA

25. Thank you!!

Editor's Notes

LITTLE ROBOT THAT MAKE COMPUTERS TO FALL IN LOVE SYSTEM INTEGRATION AS LOVE: NON-FUNCTIONAL ISSUES ARE IMPORTANT
Semantics Priority Principle. while keeping close to the iAgree conceptual model (SLA ≈ CSP…) The target domain and style, (CSP in this case) must be chosen according to the source model. Thus, an iAgree document is, in esence a set of expressions that can be interpreted as constraints. In this sense the expressiveness of condition languages must match the expressiveness supported by the underlying CSP solver.

Towards Compensable SLAs

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