Emc IP Holding Company LLC

Dell Products Inc.

Michael Marrotte

John P Marchese, Jr

Min Gong

The technology described herein is directed towards fault injection to cloud provider resources, through a system that facilitates selection of specific resources in availability zone(s)/region(s). Example resources include VMs (virtual machines), VM clusters, tagged resource grouping and/or managed services. Based on (e.g., user) input data, the system injects faults to specified resources through cloud provider interfaces. The input data can specify availability zone(s), fault injection start time and duration. The input data can also specify fixed mode (fail specified resources together) or chaos mode (randomly inject failures for each resource individually). Failure type can be specified, e.g., graceful (e.g., clean shutdown) or non-graceful (e.g., a non-clean, hard fault). Based on the input, the system injects fault(s) using the modes selected to the specified resource(s) in the selected availability zone(s) for the duration entered. The user is provided the fault-related status information the during the duration.

Availability zone fault injector for cloud computing environments

A method for managing a file system includes obtaining, by a compression optimizing manager, a compression algorithm selection request for the file system, determining a set of selection inputs based on a set of file system parameters of the file system, applying a compression selection model to the set of selection inputs to obtain a compression algorithm selection, and initiating a file system compression implementation of the file system using the compression algorithm selection.

System and method for a content-aware and context-aware compression algorithm selection model for a file system

The technology described herein is directed towards automatic virtual subnet delegation. An automated process scans the subnets of a virtual network and builds a tree of the IP space, including allocated and unused space designations. User-defined parameters and organization policy data are used to determine the number of IP addresses needed for an application or the like. By traversing the tree of existing IP space, the technology described herein finds and places a new subnet, such as to ensure a high utilization of the overall IP space or based on an alternative type-of-fit criterion. When the virtual subnet space is created in the cloud, a public cloud-specific subnet identifier is returned to the user to utilize in deploying the application. Another use of the technology described herein is to track and optimize IP space allocation for existing virtual networks in the public cloud, including to identify underutilized and/or improperly-sized subnets.

Automated virtual subnet delegation in a cloud environment

Techniques are provided for domain name system multipathing distributed applications. In an example, a client computer queries a multipath-aware domain name system service with a domain name for a plurality of application servers, where there are a plurality of network paths available between the client computer and the application servers. The multipath-aware domain name system service can select a network path to be used, then determine a server that leads to that network path being used (by determining a hash used in network routing for each server of the plurality of servers). The multipath-aware domain name system service can respond to the client computer with an IP address for a selected application server, which results in communications between the client computer and the selected application server occurring over the selected network path.

Domain name system multipathing distributed applications

Techniques are provided for artificial intelligence-based storage monitoring. In an example, a system determines structured and unstructured attributes of a folder in a file system and provides them to an trained artificial intelligence model that outputs whether the folder is interesting or not. The folders labelled interesting by the trained artificial intelligence model can be further refined to a subset of folders that are placed in a watch list, and monitored for changes.

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Windermere, FL, United States of America

Michael Marrotte