Emc IP Holding Company LLC

Dell Products Inc.

Dell & Products L.p.

Mohamed Sohail

Said Tabet

Junping Zhao

Stephen J Todd

Khaled Ahmed

Robert A Lincourt

Parminder Singh Sethi

Hung The Dinh

Bijan Kumar Mohanty

Wei Cui

Kevin Xu

Mohammad Rafey

Mohamed Esam

Eslam M El-Nakib

Karim Fathy

Sherief Selim

Yasmine Morad

Methods, apparatus, and processor-readable storage media for deduplicating data in distributed computing environments are provided herein. An example computer-implemented method includes obtaining, by a node of a distributed computing system, a set of data from an edge device, and identifying a data type corresponding to the set of data from among a plurality of data types. The method includes using information corresponding to the identified data type to determine whether one or more portions of data in the set of data were previously uploaded to at least one server of the distributed computing system. The method also includes, in response to determining that the one or more portions of the data were previously uploaded, updating the set of data by removing the one or more portions of the data from the set of data, and uploading the updated set of data to the at least one server.

Data deduplication techniques for distributed computing environments

An apparatus in one embodiment comprises a processing platform configured to communicate over a network with a plurality of Internet of Things (IoT) devices. The processing platform receives at least a first intermediate message from a first gateway of the network, receives one or more additional intermediate messages from each of one or more additional gateways of the network, associates the first and additional intermediate messages with one another based at least in part on a common message identifier detected in each such intermediate message, and processes the associated first and additional intermediate messages to recover a device message from a given one of the IoT devices. The first intermediate message is based at least in part on at least one application of a designated cryptographic function to the device message utilizing a corresponding key. At least one of the one or more additional intermediate messages provides at least a portion of the key.

Lightweight security for internet of things messaging

One example method includes collaborative deduplication. A deduplication engine implemented at a cloud level collaborates or coordinates with an extension engine of the deduplication at an edge node. This allows data ingested at a node to be collaboratively deduplicated prior to transfer to the cloud and after transfer to the cloud.

Versatile data reduction for internet of things

Techniques are provided for secure data management in a network computing environment. A security management system receives data from a device which operates in a device network that is managed by the security management system. The security management system performs a data classification process to determine a data sensitivity level of the received data. The security management system determines a type of encryption to apply to the received data based on the determined data sensitivity level. The type of encryption is determined from a plurality of different types of encryption that are supported by a cloud system. The security management system sends the received data to the cloud system to at least one of store the data and perform secured data analytic processing of the data, in a format according to the determined type of encryption.

Secure data management in a network computing environment

An apparatus comprises a processing device configured to generate a model of a plurality of devices characterizing relationships between the devices, to build a device dependency chain for the devices based on the model, to predict workload for each of the devices in one or more time slots of a given time period, and to determine a deployment schedule for the devices based on the device dependency chain and the predicted workload. The processing device is also configured to utilize the deployment schedule to select a device of the devices on which to perform an operation, to determine whether the selected device corresponds to an additional device of the devices configured to operate in place of the selected device during performance of the operation, and to control performance of the operation on the selected device responsive to the determination of whether the selected device corresponds to the additional device.

Determining a deployment schedule for operations performed on devices using device dependencies and redundancies

One example method includes correlating trust scoring with authentication levels. Trust scores are protected in a computing system such that devices can be validated. Authentication levels are based on the verified trust scores.

Method for protecting edge device trust score

A method, comprising: obtaining a data item that is associated with an IoT device, the IoT device including one or more of a sensor, an actuator, or an energy source; obtaining, from a blockchain-based attestation system, a trust score that is associated with the data item, the trust score being generated by using a consensus-building mechanism that is provided by the blockchain-based attestation system; when the trust score satisfies a predetermined condition, using the data item; and when the trust score fails to satisfy the predetermined condition, discarding the data item, wherein the IoT device is configured to operate as a node in the blockchain-based attestation system, and the blockchain-based attestation system includes one or more other IoT devices that are part of the same IoT device network as the IoT device.

Blockchain-based attestation service

Systems and methods are provided for implementing an intelligent data management system for data storage and data management in a cloud computing environment. For example, a system includes an application server, a distributed data storage system, and an intelligent data management system. The application server is configured to host a data processing application. The distributed data storage system is configured to store data generated by a network of devices associated with the data processing application. The intelligent data management system is configured to manage data storage operations for storing the data generated by the network of devices in the distributed data storage system. For example, the intelligent data management system is configured to determine one or more data types of the data generated by the network of devices and select one of a plurality of repositories within the distributed data storage system to store the data based on the determined data types.

Intelligent data storage and management for cloud computing

Systems, methods, and articles of manufacture comprising processor-readable storage media are provided for implementing security mechanisms for network environments. For example, a method includes collecting power consumption data of a plurality of devices operating within a network and determining trust scores for the plurality of devices based, at least in part, on the collected power consumption data. The trust score for a device provides a measure of trustworthiness of the device exhibiting normal operating behavior within the network. Each device is assigned to one of a plurality of trust tiers based on the determined trust scores, wherein each trust tier specifies an authentication level for devices assigned to the trust tier. One or more authentication procedures are applied to authenticate a given device operating within the network based on the authentication level specified by the trust tier to which the given device is assigned.

Security for network environment using trust scoring based on power consumption of devices within network

Systems and methods are provided to configure a replication system to reduce latency of data read access operations in a cloud computing environment. Intelligent routing decision systems and methods are implemented in conjunction with a distributed replication system in a cloud computing environment to direct write requests to a primary site (e.g., production site) by default, and to automatically and intelligently direct read requests to a target site (e.g., primary site or replica site) to reduce data read latency and/or bandwidth. A reduction in read delay is achieved, in part, by intelligently selecting a target site (e.g., data center) in a cloud computing environment which is close or closest in distance to a requesting entity (e.g., user or application) requesting data, thereby reducing a propagation delay and/or latency in accessing and downloading data from the target site.

Cloud computing environment with replication system configured to reduce latency of data read access

Systems, methods, and articles of manufacture comprising processor-readable storage media are provided for implementing security for a network environment using a centralized smart security system. For example, a method includes implementing a network comprising a plurality of network devices which collectively generate data that is utilized by a computing system to execute an application, and implementing a centralized security system as a computing node within the network to manage security operations within the network and to establish secured and trusted communications between the network devices and the computing system. The network devices may comprise wireless sensor devices operating in a wireless sensor network, wherein the computing system executes an IoT (Internet of Things) application which processes the data that is generated by the wireless sensor devices.

Security for network computing environment using centralized security system

An apparatus in one embodiment comprises a plurality of container host devices of at least one processing platform. The container host devices implement a plurality of containers for executing applications on behalf of one or more tenants of cloud infrastructure. The containers have associated layer structures each characterizing container images of respective different ones of the containers. Movement of container data between different storage devices by at least one of the container host devices for at least one of the containers is controlled based at least in part on one or more characteristics of a corresponding one of the layer structures. For example, controlling movement of container data between the different storage devices may comprise assigning at least one of different prefetching priority weights and different cache-swapping priority weights to different layers of the given layer structure.

Layer-aware data movement control for containers

Systems, methods, and articles of manufacture comprising processor-readable storage media are provided for implementing security for a network environment using a centralized smart security system. For example, a method includes implementing a network comprising a plurality of network devices which collectively generate data that is utilized by a computing system to execute an application, and implementing a centralized security system as a computing node within the network to manage security operations within the network and to establish secured and trusted communications between the network devices and the computing system. The network devices may comprise wireless sensor devices operating in a wireless sensor network, wherein computing system executes an IoT (Internet of Things) application which processes the data that is generated by the wireless sensor devices.

Systems, methods, and articles of manufacture comprising processor-readable storage media are provided for detecting anomalies in a computing system based on power consumption of network devices of the computing system. For example, a method includes receiving power consumption data from a computing device operating within a network, wherein the power consumption data indicates reported power usage by the computing device operating within the network, processing the power consumption data to detect anomalous behavior of the computing device operating in the network, and preventing the computing device from transmitting data within the network, when anomalous behavior of the computing device is detected.

Security for network computing environment based on power consumption of network devices

Systems, methods, and articles of manufacture comprising processor-readable storage media are provided for data storage path processing. For example, in one method, a data block is received from a first device over a communications network, wherein the data block is specified to be sent to a second device located on the communications network. A distributed data storage system is accessed to store the data block in a first datastore associated with the first device, and to store a copy of the data block in a second datastore associated with the second device. A notification message is sent to the second device over the communications network to notify the second device that the data block is stored in the second datastore. The method may be performed by an application server that is implemented in an IoT (Internet of Things) cloud computing system.

Growing community of inventors

Sheikh Zayed, Egypt

Mohamed Sohail