Gartner与内存计算相关的报告
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Gartner’s Hype Cycle for Emerging Technologies
Gartner’s 2016 Hype Cycle for Emerging Technologies
Gartner’s 2015 Hype Cycle for Emerging Technologies
Gartner’s 2014 Hype Cycle for Emerging Technologies
2014年与内存相关的技术有 In-Memory DBMS和In-Memory Analytics
Gartner’s 2013 Hype Cycle for Emerging Technologies
2013年与内存相关的技术有 In-Memory DBMS和In-Memory Analytics
[Gartner’s 2013 Hype Cycle for Emerging Technologies]
Gartner’s 2012 Hype Cycle for Emerging Technologies
2012年同2013和2014年
New Hype Cycles this year include big data, the Internet of Things, in-memory computing and strategic business capabilities.
Gartner top 10 strategic technology trends
2011和内存相关的有:Storage Class Memory,这时非易失存储,与RAM无关。
2012首次出现in-memory computing(IMC):
Gartner sees huge use of flash memory in consumer devices, entertainment equipment and other embedded IT systems. In addition, it offers a new layer of the memory hierarchy in servers that has key advantages — space, heat, performance and ruggedness among them. Besides delivering a new storage tier, the availability of large amounts of memory is driving new application models. In-memory applications platforms include in-memory analytics, event processing platforms, in-memory application servers, in-memory data management and in-memory messaging.
Running existing applications in-memory or refactoring these applications to exploit in-memory approaches can result in improved transactional application performance and scalability, lower latency (less than one microsecond) application messaging, dramatically faster batch execution and faster response time in analytical applications. As cost and availability of memory intensive hardware platforms reach tipping points in 2012 and 2013, the in-memory approach will enter the mainstream.
2013年仍然有IMC:
In memory computing (IMC) can also provide transformational opportunities. The execution of certain-types of hours-long batch processes can be squeezed into minutes or even seconds allowing these processes to be provided in the form of real-time or near real-time services that can be delivered to internal or external users in the form of cloud services. Millions of events can be scanned in a matter of a few tens of millisecond to detect correlations and patterns pointing at emerging opportunities and threats “as things happen.” The possibility of concurrently running transactional and analytical applications against the same dataset opens unexplored possibilities for business innovation. Numerous vendors will deliver in-memory-based solutions over the next two years driving this approach into mainstream use.
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