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Resource Management in Cloud Computing

Cristian KleinResearcher

Department of Computing ScienceUmeå University

Research and Leadership2016-05-24

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What is Cloud Computing?

• Internet-scale Software– Requires huge computing and storage capacity

• Cloud computing= Rent computing and storage capacity– I.e., 1,000s of computer servers

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Why Cloud Computing?

• Buying cheaply is complicated• Find a nice geographic location– Cheap electricity– Cheap cooling– Fast Internet– Stable political climate

• Build a large building: datacenter• Add cooling• Add power distribution• Add servers

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Facebook Datacenter in Luleå

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Why Cloud Research?

• “Amazon found every 100ms of latency cost them 1% in sales.”

• “Bing found that a 2 second slowdown changed queries/user by -1.8% and revenue/user by -4.3%.”

• “Google Search found that a 400 millisecond delay resulted in a -0.59% change in searches/user.”

Datacenters must offer performance

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Why Cloud Research?

• Datacenters are energy hungry– 1.5% of worldwide electricity– Fastest increase in power usage among all sectors

• Lower energy Lower carbon footprint Lower cost

Datacenters must be energy efficient

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Energy Performance Trade-off

✔ Good performance✖ Poor energy efficiency

✖ Poor performance✔ Good energy efficiency

Power off

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Challenges

• Large scale of problems– 10s of datacenters– 1 datacenter = up to 100,000 servers– 1 software = up to 1,000 of software components

• Unpredictability– Sudden popularity (flash-crowds)– Hardware failures

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Brownout: dealing with capacity shortage

Disable optional computationsE.g., recommender engine

Questions– When to disable such code per software?– How to coordinate multiple software?