Distributed Computing - An Interactive Introduction
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Nowadays collected amounts of data growing exponentially. More than 75% of all stored data were collected in the last 5 to 6 years. To store and analyze those always fast growing pile of data we have to go new ways. The Scale-Up approach starts to break apart. Partitioning data and parallelize processing and analyzing are the new way.
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Distributed Computing - An Interactive Introduction
- 1. www.hazelcast.com /** * Distributed Computing * Interactive Introduction */
- 2. www.hazelcast.com Disclaimer This presentation may include certain forward-looking statements and projections provided by the Company. Any such statements and projections reflect various estimates and assumptions by the Company concerning anticipated results. These statements involve risks, uncertainties and assumptions and are based on the current estimates and assumptions of the management of the Company as of the date of this presentation and are subject to uncertainty and changes. No representations or warranties are made by the Company as to the accuracy of any such statements or projections. Whether or not any such forward-looking statements or projections are in fact achieved will depend upon future events some of which are not within the control of the Company. Accordingly, actual results may vary from the projected results and such variations may be material. Statements contained herein describing documents and agreements are summaries only and such summaries are qualified in their entirety by reference to such documents and agreements.
- 5. www.hazelcast.com Who’s that dude? • Chris(toph) Engelbert • Twitter fanatic: @noctarius2k • Weird 9+ Java-Years • Performance, GC, Fairytales • Apache Committer • Gaming, Travel Management, …
- 6. www.hazelcast.com Who’s that dude? • Chris(toph) Engelbert • Twitter fanatic: @noctarius2k • Weird 9+ Java-Years • Performance, GC, Fairytales • Apache Committer • Gaming, Travel Management, … The www.Hazelcast.ninja
- 8. www.hazelcast.com@noctarius2k … but what means Distributed Computing?OOO ( )
- 9. www.hazelcast.com@noctarius2k Caching? Don’t you mean ‘Wasting Memory’? L1 Cache Reference L2 Cache Reference Main Memory Reference 1K send over 1 Gbps Network 4K read from SSD Seek on Spinning Disk Send Packet CA->AMS->CA 0.5 ns 7 ns 100 ns 10,000 ns 150,000 ns 10,000,000 ns 150,000,000 ns 0.01 ms 0.15 ms 10 ms 150 ms
- 10. www.hazelcast.com@noctarius2k Evolution of: - Memory-Price - Memory-Size
- 12. www.hazelcast.com Data Distribution (Partitioning / Sharding)
- 13. www.hazelcast.com@noctarius2k That was easy!But don’t tell anyone!
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- 32. www.hazelcast.com@noctarius2k Hazelcast in 5 Facts • Java Collections API • Java Concurrency API • Transparent Data Distribution • Drop-In Replacement • Disruptively Simple (c) Rod Johnson (@springrod)
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