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Delegating Data Management
to the Cloud
Qing Gu
Patricia Lago
Simone Potenza
presented by: Giuseppe Procaccianti
Up in the Clouds
Delegating Data Management to the Cloud
Cloud Migration is said
to bring many benefits.
Up in the Clouds
Delegating Data Management to the Cloud
Energy Efficiency
is one of the less
investigated.
Up in the Clouds
Delegating Data Management to the Cloud
Data as an asset
is often a candidate
for cloud migration.
Problem statement
Delegating Data Management to the Cloud
When is it convenient for a company to delegate data
management to the Cloud?
Approach
Delegating Data Management to the Cloud
● Literature Study on data classification schemas
● 55 schemas found
● 17 related to data archiving
* Position criterion considered irrelevant for the purpose of this presentation
● 3* criteria identified
Data Classification Criterion: Retention
Delegating Data Management to the Cloud
Definition: 2 variables, 1 constant
Long Retention time (LR) if:
retainment_period
is_retainment_set
retainment_threshold
is_retainment_set = TRUE
AND
retainment_period > retainment_threshold
Data Classification Criterion: Frequency of usage
Delegating Data Management to the Cloud
Definition: 1 variable, 1 constant
High frequency access (H) if:
access_frequency_index [1]
frequency_threshold
access_frequency_index > frequency_threshold
[1] Chen, Ying. "Information valuation for information lifecycle management."
Autonomic Computing, 2005. ICAC 2005. Proceedings. Second International
Conference on. IEEE, 2005.
Data Classification Criterion: Modification
Delegating Data Management to the Cloud
Definition: 1 variable, 1 constant
Young file (Y) if:
last_modification_period
last_modified_period_threshold
last_modification_period > last_modified_period_threshold
Data Classification Schema
Frequency of
Usage
Modification Retention Class
H Y LR Hot
H Y SR Hot
H O LR Cold
H O SR Cold
L Y LR Cold
L Y SR Cold
L O LR Cold
L O SR Frozen
Delegating Data Management to the Cloud
Value of Energy
Delegating Data Management to the Cloud
● Energy consumption for storage devices:
○ idle vs. active: no significant
difference
○ full vs. empty: no significant difference
● Solution: Value of Energy framework
○ relate energy consumption with data
value
○ find energy wastes due to storage of
valueless data
Value of Energy: metrics
Delegating Data Management to the Cloud
Metric Description Unit
WpGB
IdlePower / raw_size
Amount of power needed to keep
available a GB of storage space
W/GB
EffectivePower
Hot*WpGB * PUE
Amount of power used to store hot
data
Watt (W)
WastedPower
(Frozen+Cold) *WpGB*PUE
Amount of power used to store
cold/frozen data
Watt (W)
PotentiallyEffectivePower
FreeSpace * WpGB * PUE
Power used to provide free storage
space that can be used for hot data
Watt (W)
ServiceLevelPower
raw_size*capacity *WpGB*PUE
Power used for RAID and data
redundancy in general
Watt (W)
Industrial Case Study
Delegating Data Management to the Cloud
● Partner: Dutch telecommunication provider
● Motivation: demonstrate economic/environmental
benefits of Cloud archiving service
Industrial Case Study /2
Delegating Data Management to the Cloud
Hot data size 980 GB
Cold data size 2640 GB
Frozen data size 5280 GB
● Test storage system:
○ 24 disks
○ Raw space: 14.400 GB
○ Usable capacity: 13.200 GB
○ Transfer Rate: 12000 MB/s
○ PUE: 1.5
Industrial Case Study /3
Delegating Data Management to the Cloud
Before Migration After Migration
EffectivePower 92.61 W 92.61 W
WastedPower 748.44 W 0 W
PotentiallyEffectivePower 406.35 W 1154.79 W
ServiceLevelPower 113.4 W 113.4 W
Industrial Case Study /4
Delegating Data Management to the Cloud
● Too much free space may result in energy wastes as
well
● This waste can be quantified
using data growth metrics
● Assuming a growth rate of 30% for all data classes:
Future Hot data size 1656 GB
Future Cold data size 4462 GB
Future Frozen data size 8923 GB
Industrial Case Study /5
Delegating Data Management to the Cloud
Before Migration After Migration
EffectivePower 93 W 93 W
WastedPower 518 W 1034 W
PotentiallyEffectivePower 580 W 64 W
ServiceLevelPower 170 W 170W
Conclusions
Delegating Data Management to the Cloud
We evaluate data cloud
migration from the
Customer perspective.
Migration to the Cloud is
beneficial….
...under certain circumstances!
Conclusions
Delegating Data Management to the Cloud
Useful energy and dynamicity
(e.g. Data Growth) must be taken
into account.
For the future...
Delegating Data Management to the Cloud
● More precise energy calculations
● Extend data classification criteria for different contexts [2]
● Investigate environmental and economic impacts
[2]
Masanet, E., Shehabi, A., Ramakrishnan, L., Liang, J., Ma, X.,Walker, B., H
endrix, V., and P. Mantha (2013 ). The Energy Efficiency Potential of
Cloud-Based Software: A U.S. Case Study. Lawrence Berkeley National
Laboratory, Berkeley, California.
Thank you!
Delegating Data Management to the Cloud

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Delegating Data Management to the Cloud: A Case Study in a Telecommunications Company

  • 1. Delegating Data Management to the Cloud Qing Gu Patricia Lago Simone Potenza presented by: Giuseppe Procaccianti
  • 2. Up in the Clouds Delegating Data Management to the Cloud Cloud Migration is said to bring many benefits.
  • 3. Up in the Clouds Delegating Data Management to the Cloud Energy Efficiency is one of the less investigated.
  • 4. Up in the Clouds Delegating Data Management to the Cloud Data as an asset is often a candidate for cloud migration.
  • 5. Problem statement Delegating Data Management to the Cloud When is it convenient for a company to delegate data management to the Cloud?
  • 6. Approach Delegating Data Management to the Cloud ● Literature Study on data classification schemas ● 55 schemas found ● 17 related to data archiving * Position criterion considered irrelevant for the purpose of this presentation ● 3* criteria identified
  • 7. Data Classification Criterion: Retention Delegating Data Management to the Cloud Definition: 2 variables, 1 constant Long Retention time (LR) if: retainment_period is_retainment_set retainment_threshold is_retainment_set = TRUE AND retainment_period > retainment_threshold
  • 8. Data Classification Criterion: Frequency of usage Delegating Data Management to the Cloud Definition: 1 variable, 1 constant High frequency access (H) if: access_frequency_index [1] frequency_threshold access_frequency_index > frequency_threshold [1] Chen, Ying. "Information valuation for information lifecycle management." Autonomic Computing, 2005. ICAC 2005. Proceedings. Second International Conference on. IEEE, 2005.
  • 9. Data Classification Criterion: Modification Delegating Data Management to the Cloud Definition: 1 variable, 1 constant Young file (Y) if: last_modification_period last_modified_period_threshold last_modification_period > last_modified_period_threshold
  • 10. Data Classification Schema Frequency of Usage Modification Retention Class H Y LR Hot H Y SR Hot H O LR Cold H O SR Cold L Y LR Cold L Y SR Cold L O LR Cold L O SR Frozen Delegating Data Management to the Cloud
  • 11. Value of Energy Delegating Data Management to the Cloud ● Energy consumption for storage devices: ○ idle vs. active: no significant difference ○ full vs. empty: no significant difference ● Solution: Value of Energy framework ○ relate energy consumption with data value ○ find energy wastes due to storage of valueless data
  • 12. Value of Energy: metrics Delegating Data Management to the Cloud Metric Description Unit WpGB IdlePower / raw_size Amount of power needed to keep available a GB of storage space W/GB EffectivePower Hot*WpGB * PUE Amount of power used to store hot data Watt (W) WastedPower (Frozen+Cold) *WpGB*PUE Amount of power used to store cold/frozen data Watt (W) PotentiallyEffectivePower FreeSpace * WpGB * PUE Power used to provide free storage space that can be used for hot data Watt (W) ServiceLevelPower raw_size*capacity *WpGB*PUE Power used for RAID and data redundancy in general Watt (W)
  • 13. Industrial Case Study Delegating Data Management to the Cloud ● Partner: Dutch telecommunication provider ● Motivation: demonstrate economic/environmental benefits of Cloud archiving service
  • 14. Industrial Case Study /2 Delegating Data Management to the Cloud Hot data size 980 GB Cold data size 2640 GB Frozen data size 5280 GB ● Test storage system: ○ 24 disks ○ Raw space: 14.400 GB ○ Usable capacity: 13.200 GB ○ Transfer Rate: 12000 MB/s ○ PUE: 1.5
  • 15. Industrial Case Study /3 Delegating Data Management to the Cloud Before Migration After Migration EffectivePower 92.61 W 92.61 W WastedPower 748.44 W 0 W PotentiallyEffectivePower 406.35 W 1154.79 W ServiceLevelPower 113.4 W 113.4 W
  • 16. Industrial Case Study /4 Delegating Data Management to the Cloud ● Too much free space may result in energy wastes as well ● This waste can be quantified using data growth metrics ● Assuming a growth rate of 30% for all data classes: Future Hot data size 1656 GB Future Cold data size 4462 GB Future Frozen data size 8923 GB
  • 17. Industrial Case Study /5 Delegating Data Management to the Cloud Before Migration After Migration EffectivePower 93 W 93 W WastedPower 518 W 1034 W PotentiallyEffectivePower 580 W 64 W ServiceLevelPower 170 W 170W
  • 18. Conclusions Delegating Data Management to the Cloud We evaluate data cloud migration from the Customer perspective. Migration to the Cloud is beneficial…. ...under certain circumstances!
  • 19. Conclusions Delegating Data Management to the Cloud Useful energy and dynamicity (e.g. Data Growth) must be taken into account.
  • 20. For the future... Delegating Data Management to the Cloud ● More precise energy calculations ● Extend data classification criteria for different contexts [2] ● Investigate environmental and economic impacts [2] Masanet, E., Shehabi, A., Ramakrishnan, L., Liang, J., Ma, X.,Walker, B., H endrix, V., and P. Mantha (2013 ). The Energy Efficiency Potential of Cloud-Based Software: A U.S. Case Study. Lawrence Berkeley National Laboratory, Berkeley, California.
  • 21. Thank you! Delegating Data Management to the Cloud