Presentation hold during Cloud Computing Conference 2011 in Noordwijkerhout, Netherlands 2011. This is presentation is about missing cost estimation models in cloud computing and presents firsts considerations how to overcome this.

1. Nane Kratzke
OVERCOMING EX ANTE COST
INTRANSPARENCY OF CLOUDS
Prof. Dr. rer. nat. Nane Kratzke
1
Computer Science and Business Information Systems

2. Analyzing Impacts of Clouds
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Prof. Dr. rer. nat. Nane Kratzke
2
Computer Science and Business Information Systems

3. Analyzing Impacts of Clouds
to COBIT
Reduced efforts for Additional efforts for
• Continuous Service • Assess and manage IT-Risks
• Manageability of Performance and Capacity • Ensure compliancy with external requirements
• Procure IT-Resources and Identify and allocate costs • More complex Configuration management and IT-
• Monitor and evaluate IT-performance Processes/Relationships
Prof. Dr. rer. nat. Nane Kratzke
3
Computer Science and Business Information Systems

4. Analyzing Impacts of Clouds
to TOGAF
Reduced efforts for
• Use billable SaaS or PaaS items as
building blocks for information
systems architecture
• Data architecture
• Application architecture
• Use billable IaaS items as building
blocks for technology architecture
• Use scalability and cost associativity
as well as pay-as-you-go to generate
new oportunities and solutions
• 100 processing units for one hour
• 100 hours of one processing unit
• Produce (almost) the same costs
• Experimentation is cheap
Prof. Dr. rer. nat. Nane Kratzke
4
Computer Science and Business Information Systems

5. Analyzing Impacts of Clouds
to ITIL
Reduced efforts for
• Service Design
• Capacity Management
• Availability Managemet
• Continuity Management
• Service Operation
• Event Management
• Incident Management
• Problem Management
Additional efforts for
• Service Design
• Service Level Management
• Information Security
Management
• Service Transition
• Asset and Configuration
Management
Prof. Dr. rer. nat. Nane Kratzke
5
Computer Science and Business Information Systems

6. Qualitative Weaknesses and Strengths of Clouds
Strength Weakness
l
cture and low leve
Physical infrastru mer perspective)
o
service free (cust
mpliancy
More complex co t
ted functional managemen
Pro vision of automa
services
t
cu rity managemen
More complex se
(ex post)
Cost transparency
d
rvice, process an
More complex se anagement
ntinuousity and configuration m
Inhe rent scalability, co
availability
Prof. Dr. rer. nat. Nane Kratzke
6
Computer Science and Business Information Systems

7. So – everthing is beautifull?
No substantial show stoppers?
• Higher order showstoppers for cloud approaches
Hard to handle
• Security and Compliance Management
• Incompatible SLAs
• Especially national laws, privacy, data ownership,
confidentiality, data location, forensic evidence, auditing, etc.
• Decision making showstoppers for cloud approaches
Could be solved
• Ex post but no ex ante cost transparency
• Relevant costs of cloud approaches must be known before a
system enters operation
• Otherwise IT investment decisions pro or contra cloud based
approaches can not been made
Prof. Dr. rer. nat. Nane Kratzke
7
Computer Science and Business Information Systems

8. Costs are influenced by
Your System
Usage
Your System Costs
XaaS Usage
Architecture
Prof. Dr. rer. nat. Nane Kratzke
8
Computer Science and Business Information Systems

9. Costs are influenced by ...
To be validated by ongoing research
User accounts
Your System
Usage Amount of unique visitors/users
Amounts of user/system requests
24x7
Loadbalancing and autoscaling
asset groups
Generated Your System
XaaS Usage Architecture Structure of processing tier
(network)
Structure of storage and backup
Data transfer
tier (network)
Data storage
Data processing
Monitoring efforts (e.g. events, IaaS)
Amount of sub-service requests (PaaS, SaaS)
Prof. Dr. rer. nat. Nane Kratzke
9
Computer Science and Business Information Systems

10. Finding nearest neighbors to exploit
comparable ex-post costs of other systems
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cost estimations
operated systems with ex post costs
planned system
Prof. Dr. rer. nat. Nane Kratzke
10
Computer Science and Business Information Systems

11. Select comparable systems and collected
data by similarity
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Selection of the Architecture
most comparable
operated system =+)
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Prof. Dr. rer. nat. Nane Kratzke
11
Computer Science and Business Information Systems

12. Conclusion
or: Vision for ongoing research
• Collect and Provide Data
• Your System Usage, Provided Service Usage
• Your System Architecture, Costs (Billing)
• of real world cloud-based applications/services
in order to estimate costs for planned cloud-based
costs/services
CLOUDLAB
Cost, Usage, and Architecture Analytics
for Cloud-based Information Systems
Prof. Dr. rer. nat. Nane Kratzke
12
Computer Science and Business Information Systems