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Pelican: A building block for exascale cold data storage

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Presentation on theme: "Pelican: A building block for exascale cold data storage"— Presentation transcript:

1 Pelican: A building block for exascale cold data storage
Shobana Balarishnan, Richard Black, Austin Donnelly, Paul England, Adam Glass, Dave Harper, Sergey Legtchenko, Aaron Ogus, Eric Peterson, Antony Rowstron Microsoft Research, Microsoft Adapted from their OSDI and SDC slides. EECS 582 – W16

2 Background: cold data in the cloud
EECS 582 – W16

3 Background: cold data in the cloud
EECS 582 – W16

4 Right-provisioning EECS 582 – W16

5 Pelican: rack-scale appliance for cold data
EECS 582 – W16

6 Prototype EECS 582 – W16

7 Impact of right provisioning on resources
x12 x6 EECS 582 – W16 x16

8 Data placement: maximizing request concurrency
EECS 582 – W16

9 Data placement: maximizing request concurrency
EECS 582 – W16

10 Data placement: maximizing request concurrency
EECS 582 – W16

11 IO scheduling: “spin up is the new seek”
EECS 582 – W16

12 Challenges of right-provisioning
EECS 582 – W16

13 Evaluation FP: full provisioning EECS 582 – W16

14 Throughput EECS 582 – W16

15 Time to first byte EECS 582 – W16

16 Power consumption EECS 582 – W16

17 Conclusion Pros and Cons Reduce capital cost and operating cost
Meet requirements from cold data workload Sensitive to hardware changes Manually handle many constraints EECS 582 – W16

18 x4 x2 Related Works Amazon Glacier Facebook cold storage datacenter
Two billion photos Maybe right-provisioning idea Blue-ray optical disk x4 x2 EECS 582 – W16

19 Q&A Thank You! EECS 582 – W16


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