FRESHNESS AND GRAVITY OF DATA OPERATORS EXECUTING IN NEAR MEMORY COMPUTE IN SCALABLE DISAGGREGATED MEMORY ARCHITECTURES

    公开(公告)号:US20240303078A1

    公开(公告)日:2024-09-12

    申请号:US18181307

    申请日:2023-03-09

    CPC classification number: G06F9/3004 G06F9/5016

    Abstract: The disclosure provides for systems and methods for improving bandwidth and latency associated with executing data requests in disaggregated memory by leveraging usage indicators (also referred to as usage value), such as “freshness” of data operators and processing “gravity” of near memory compute functions. Examples of the systems and methods disclosed herein generate data operators comprising near memory compute functions offloaded proximate to disaggregated memory nodes, assign a usage value to each data operator based on at least one of: (i) a freshness indicator for each data operators, and (ii) a gravity indicator for each near memory compute function; and allocate data operations to the data operators based on the usage value.

    Dynamic intrusion detection and prevention in computer networks

    公开(公告)号:US12088633B2

    公开(公告)日:2024-09-10

    申请号:US17586936

    申请日:2022-01-28

    CPC classification number: H04L63/205 H04L63/1425 H04L63/1433 H04L63/1458

    Abstract: The present disclosure describes dynamic intrusion detection and prevention in computer networks. The method includes generation of clusters of network sites based on a plurality of parameters related to operational features and network threats associated with the network sites. Data models are trained upon the clusters developed through the clustering. The data models are executed to predict a threat frequency of each network threat for each cluster. A difference between the predicted threat frequency of each network threat and corresponding baseline frequencies is determined. Dynamic rulesets are configured, based on the difference between the predicted threat frequency of each network threat and the corresponding baseline frequencies, for each cluster by integrating rules applicable to prevent each network threat.

    DYNAMIC ADJUSTMENTS OF BACKUP POLICIES
    109.
    发明公开

    公开(公告)号:US20240296098A1

    公开(公告)日:2024-09-05

    申请号:US18176628

    申请日:2023-03-01

    CPC classification number: G06F11/1451 G06F11/1461 G06F2201/80

    Abstract: In some examples, a system computes a rate of change of data blocks of a collection of storage volumes in a data store, where changes of data blocks are detected based on monitoring of operations on the collection of storage volumes. The rate of change of data blocks of the collection of storage volumes is based on a difference between a plurality of snapshots of data of the collection of storage volumes in the data store. Based on the rate of change of data blocks of the collection of storage volumes, the system dynamically adjusts a backup policy governing backups of data of the collection of storage volumes to a backup store, wherein the dynamic adjustment of the backup policy changes a quantity of the backups of data of the collection of storage volumes.

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