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  2. Data-intensive computing - Wikipedia

    en.wikipedia.org/wiki/Data-intensive_computing

    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.

  3. Limits of computation - Wikipedia

    en.wikipedia.org/wiki/Limits_of_computation

    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 ...

  4. In-situ processing - Wikipedia

    en.wikipedia.org/wiki/In-situ_processing

    These processing capabilities can provide an environment to run user applications in-place. The computational storage device (CSD) term refers to an SSD which is capable of running user applications in-place. In an efficient CSD architecture, the embedded in-storage processing subsystem has access to the data stored in flash memory array ...

  5. In-memory processing - Wikipedia

    en.wikipedia.org/wiki/In-memory_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.

  6. Bitcoin scalability problem - Wikipedia

    en.wikipedia.org/wiki/Bitcoin_scalability_problem

    The block size limit, in concert with the proof-of-work difficulty adjustment settings of bitcoin's consensus protocol, constitutes a bottleneck in bitcoin's transaction processing capacity. This can result in increasing transaction fees and delayed processing of transactions that cannot be fit into a block. [ 4 ]

  7. Amdahl's law - Wikipedia

    en.wikipedia.org/wiki/Amdahl's_law

    An implication of Amdahl's law is that to speed up real applications which have both serial and parallel portions, heterogeneous computing techniques are required. [12] There are novel speedup and energy consumption models based on a more general representation of heterogeneity, referred to as the normal form heterogeneity, that support a wide ...

  8. Get started with Extended AOL Mail

    help.aol.com/articles/get-started-with-extended...

    - Have continued access to all your emails along with the files and photos attached to them without concern of them being purged due to long periods of inactivity (subject to storage limits, spam and email abuse policies and future changes in storage policy). Preserve your mailbox today and sign up for Extended AOL Mail.

  9. Hybrid cloud storage - Wikipedia

    en.wikipedia.org/wiki/Hybrid_cloud_storage

    Burst for capacity - Hybrid cloud storage provides infinite and elastic storage capacity expansion to local sites. Disaster recovery - Hybrid cloud storage can keep a replica of local data in the cloud for business continuity. Burst for compute - Hybrid cloud storage can make locally produced accessible in the cloud for processing or analytics.