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A Roxie system is similar in its function and capabilities to Hadoop with HBase and Hive capabilities added, but provides an optimized execution environment and filesystem for high-performance online processing. Both Thor and Roxie systems utilize the same ECL programming language for implementing applications, increasing programmer productivity.
This allows a fixed number of users access to the product at a given time and contrasts with an unlimited user license. For example: Company X buys software and pays for 20 concurrent users. However, there are 100 logins created at implementation. Only 20 of those 100 can be in the system at the same time, [1] [4] this is known as floating ...
One is that a limited pool of cognitive resources is needed to keep representations active and thereby available for processing, and for carrying out processes. [40] Another hypothesis is that memory traces in working memory decay within a few seconds, unless refreshed through rehearsal, and because the speed of rehearsal is limited, we can ...
On the other hand, long-term memory has a potentially unlimited capacity [2] and its duration is as good as indefinite. Although sometimes it is difficult to access, it encompasses everything learned until this point in time. One might become forgetful or feel as if the information is on the tip of the tongue. [citation needed]
Several methods have been proposed for producing computing devices or data storage devices that approach physical and practical limits: A cold degenerate star could conceivably be used as a giant data storage device, by carefully perturbing it to various excited states, in the same manner as an atom or quantum well used for these purposes. Such ...
To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing ...
CPU processing, memory and disk storage are all subject to some variation of this law. As well, hardware innovations such as multi-core architecture, NAND flash memory, parallel servers, and increased memory processing capability, have contributed to the technical and economic feasibility of in-memory approaches.
The technology utilizes embedded processing engines inside the storage devices to make them capable of running user applications in-place, so data does not need to leave the device to be processed. The technology is not new, but modern SSD architecture, as well as the availability of powerful embedded processors, make it more appealing to run ...