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In memory cloud computing
- 1. IN MEMORY CLOUD COMPUTING RENO VARGHESE GEORGE (1727724) DEEPAK M (1727711)
- 2. WHAT IS IN MEMORY COMPUTING? • Implementation of cloud computing in a faster way. • Using a type of middleware software that allows one to store data in RAM, across a cluster of computers, and process it in parallel. • RAM, roughly, is 5,000 times faster than traditional spinning disk. • This enhances speed of data processing. • In-memory computing helps business customers, including retailers, banks and utilities, to quickly detect patterns, analyse massive data volumes on the fly, and perform their operations quickly. • The drop in memory prices in the present market is a major factor contributing to the increasing popularity of in-memory computing technology.
- 3. WHAT IS IN MEMORY COMPUTING? IN TECHNICAL TERM In-memory computing software is designed from the ground up to store data in a distributed fashion, where the entire dataset is divided into individual computers’ memory, each storing only a portion of the overall dataset. IN BUSINESS TERM In-memory computing helps to do complex analysis, plans and simulations based on real-time data and made results available immediately.
- 4. CLOUD COMPUTING AND IN MEMORY COMPUTING CLOUD COMPUTING • Sequential process mechanism • Slow • Uses secondary storage IN MEMORY COMUTING • Parallel process mechanism • Faster • Uses RAM
- 5. ADVANTAGES OF IN MEMORY COMPUTING • The ability to access countless amounts of data constantly. This ensures extremely fast response times for searches. • The ability to store session data, allowing for the customization of live sessions and ensuring optimum website performance. • The ability to process events for improved complex event processing
- 6. IN MEMORY COMPUTING: WHAT IS IT GOOD FOR? • Consider real-life example of GridGrain who won an open tendor for one of the largest banks in the world. • The tender was for a risk analytics system to provide real-time analysis of risk for the bank’s trading desk. • GridGain software demonstrated one billion business transactions per second on 10 commodity servers with the total of 1TB of RAM which cost less than 25k dollars. • not just 2-3x times faster; more than 100x faster than theoretically possible even with the most expensive flash-based storage available on today’s market.
- 7. HOW IN MEMORY COMPUTING CAN CHANGE BUSINESS? • Instantly predict market trends and customer needs. • Predicts how market price volatility impacts production process. • See changes in demand or supply across entire supply chain. • Monitor and analyse all quality deviations in production process. • Provides the right offers and discount levels for the customers. • Run profitability analysis fast on a product, dealer or a customer.
- 8. KEY FEATURES OF IN MEMORY COMPUTING • Less data travel time • Use non-volatile memory, RAM • Coloumn centric databases- stores related data together • Data compression • Excess overhead avoidance
- 9. ADAPTION OF IN MEMORY TECHNOLOGY • With a large number of users, a large amount of RAM is needed for an in-memory configuration, which in turn affects the hardware costs. • The investment is more likely to be suitable in situations where speed of query response is a high priority, and where there is significant growth in data volume and increase in demand for reporting facilities. • It may still not be cost-effective where information is not subject to rapid change. • Security is another consideration, as in-memory tools expose huge amounts of data to end users. Makers advise ensuring that only authorized users are given access to the data.
- 10. IN MEMORY PROCESSING TOOLS • Memory processing can be accomplish via traditional databases such as Oracle, DB2 or Microsoft SQL Server • NoSQL offerings such as in-memory data grid like Hazelcast, Infinispan, Oracle Coherence or ScaleOut Software.
- 11. IN MEMORY COMPUTING SOLUTION PROVIDERS SAP HANA Appliance SAP HANA Database SAP Mobile Solutions Oracle Exadata X3 Database In-Memory Machine Vertica FlexStore Technology
- 12. THANKYOU