Emc IP Holding Company LLC

Intel Corporation

Dell Products Inc.

Juniper Networks, Inc.

International Business Machines Corporation

Samsung Electronics Co., Ltd.

Koninklijke Philips Corporation N.V.

Globalfoundries U.S. Inc.

Airbus Group India Private Limited

Airbus Engineering Centre India

Microsoft Technology Licensing, LLC

Emc Corporation

Ca, Inc.

Zebra Technologies Corporation

Fmr Corp.

Sunil Kumar

Arieh Don

Prashant Pokharna

Shivasharan Dalasanur Narayana Gowda

Hakan Magnus Eriksson

Sebastien Fievet

Vinay G Rao

Vikram Nagarajan

Robert W Kebler

Sanoj Kadavil Vivekanandan

Boaz Michaely

Naveen Kumar

Ravi Vijayakumar Chitloor

Oren Kaidar

Sachin Gupta

Izoslav Tchigevsky

Krishna Deepak Nuthakki

Vinod Kumar N

Oren Haggai

Hariharan Boopathy

Karthikeyan Subramaniam

Mudit Gupta

Jain Philip

Murali Chilukoor

Madhusudhana Reddy

Vikram Singh Mangat

Udi Shtalrid

Ramakrishnan Shanmuga Sundaram

Prasanna Desai

Mahbub Rashed

Vinod Kumar

Tomer Shachar

Harry Muljono

Thomas L Watson

Yaron Dar

Sanjay H Ramaswamy

Shivraj Gurpadappa Dharne

Liang Yin

Sundaresan Sundaram

Shankar Mosur Venkatesan

Siva Kumar Chinthu

Vivek Raj

Anil A Degwekar

Robert Alan Boudrie

Aravind Chandramouli

Subhendu Seth

Quang T Le

Sreeram Nivarthi

Neha Parikh Shah

Aaron James Harrison

Nitin Hardeniya

Subodh Kumar

Venkateswaran Narayanan

Sarif Kumar Naik

David Lundgren Peavey

Biswaroop Chakrabarti

Dayal Madhukar Rai

Ambika Nagarajaiah

Aleksey Ashikhmin

Amit Prem Manghani

Punit Tiwari

Sethuraman Vijayakumar

Sanjay Jayavanth

Alexander Punnamoottil Jacob

Ashutosh Kumar Singh

Tannaz Sattari Tabrizi

Vindana Madhuwantha

Jagadeesh Virupaksha Huliyar

Alex Kuperman

Prabhanjan Moleyar

Michael Shusterman

Shreesh Mishra

Shakeeb A Pasha B K

Keswarpu Payal

Jose-Angel Hernanz Manrique

Madhusudana Reddy

Sandhya Jha

Udgith Mankad

Anandakumar Gopalsamy

Ritu Lakhotia

Apurva Bharatkumar Shah

Ganesh Jaiswal

Siddarth Rajendra Kumar

Vishnu Gajendran

Sai Sumana Pagidipalli

Nishtha Mehrotra

Diego Fernando Suarez Castillo

Carlos Andres Morales Torrado

Sida Peng

V S Srujana Oruganti

Nimesh Ravindra Desai

Shruthi Sreedharan

Animesh Tamrakar

Jacques Behar

Lalit Mohan Dani

Bittu Goyal

Pradeep Deshala

Sandip Kothari

Randeep Singh

Shakeeb A PashaBK

Disclosed is a charge pump circuit including: a single primary charge pump stage or multiple primary charge pump stages connected in series; a pass transistor connected between an output node of the primary charge pump stage (or of the last of the multiple primary charge pump stages, if applicable) and an output terminal; and a supplementary charge pump stage. The supplementary charge pump stage receives the same input voltage as the primary charge pump stage (or the same input voltage as the last of the multiple primary charge pump stages, if applicable) and controls the gate of the pass transistor to reduce ripple at the output terminal. A capacitive load can also be connected to the output terminal to reduce ripple and the size of the capacitive load can be selected to achieve a desired balance between the amount of ripple and circuit size.

Charge pump with pass transistor controlled by a supplementary charge pump stage

A system can facilitate first broadband cellular communications between a user equipment and core network equipment according to a first number of additional demodulation reference signal (DMRS) positions. The system can determine to modify the first number of additional DMRS positions. The system can, based on determining to modify the first number of additional DMRS positions, send, to the user equipment, physical downlink control channel downlink control information that indicates a second number of additional DMRS positions that are configured in the downlink control information. The system can facilitate second broadband cellular communications between the user equipment and the core network equipment according to the second number of additional DMRS positions, wherein a throughput of the second broadband cellular communications is determined as a function of a size of a transport block set based on the second number of additional DMRS positions.

Dynamic additional demodulation reference signal configuration

Embodiments for creating transactional consistent snapshot copies of SQL server containers in a Kubernetes system for copy reuse on different clusters to facilitate processing local snapshots for secondary workloads without impacting production quality of service. A copy data management (CDM) tool acts as an orchestrator, while a backup toolkit is deployed in the namespace of the production cluster containers. A container storage interface (CSI) plugin supplies persistent storage to the containers. Before taking a copy, the process posts the toolkit in the container and a quiesce/unquiesce operation is then performed. The databases are first quiesced, the snapshot copy is taken, and then the databases are unquiesced. The toolkit is then removed, thus producing a transactional consistent backup in a different namespace.

Creating a transactional consistent snapshot copy of a SQL server container in Kubernetes

A system can configure a first number of demodulation reference signal (DMRS) positions in radio resource control information as part of a connection setup with a user equipment that is configured to facilitate broadband cellular communications, wherein the broadband cellular communications are facilitated with carrier aggregation of a primary cell and a secondary cell. The system can, after attaching to the user equipment, send a first message to the user equipment indicative of modifying the first number of DMRS positions to a second number of demodulation reference signal positions for first communications via the primary cell. The system can send a second message to the user equipment indicative of modifying the DMRS positions for second communications via the secondary cell. The system can conduct the broadband cellular communications with the user equipment according to the second number of DMRS positions.

Data protection management techniques in information processing systems are disclosed. For example, a method is provided to manage generation of a copy of data of an application instance executed by a virtual processing device of a host device operatively coupled to a virtual volume-based storage system. Generation of the copy of the data of the application instance is caused to be performed on the virtual volume-based storage system independent of a virtualization layer associated with the host device.

Data protection management of application instance executing in accordance with virtual volume-based storage system

A system can configure a first number of demodulation reference signal positions in radio resource control information as part of a connection setup with a base station that is configured to facilitate first broadband cellular communications. The system can, after attaching to the base station, receive a medium access control control element message from the base station indicative of modifying the first number of demodulation reference signal positions to a second number of demodulation reference signal positions. The system can conduct second broadband cellular communications with the base station according to the second number of demodulation reference signal positions, wherein a throughput of the second broadband cellular communications is determined as a function of a size of a transport block set based on the second number of demodulation reference signal positions.

One example method includes copying selected backup data from a secondary storage system to a provisioned primary storage volume, creating a snapshot of the primary storage volume, using the snapshot to create a thin clone volume, masking the thin clone volume, and mounting the thin clone volume, and recovering the backup data from the thin clone volume. The recovered backup data may be made available to a secondary workload that includes an enterprise application.

System and method to create application copies for copy reuse utilizing the application backup data stored in secondary storage

Host agents running on host servers provide current and historic host application awareness information to a storage array. The storage array uses the historic host application awareness information to train a host application-specific model of IO characteristics. The current host application awareness information and observed IO characteristics are used as inputs to the model to detect malicious activity. The current and historic host application awareness information includes host application roles such as normal operation, creation of a remote backup, cloning of the storage object, snapping of the storage object, restoring the storage object from a snapshot, scanning a database in the storage object, and scanning the storage object.

Host agent-assisted detection of malicious attack on storage array

Techniques are described for dynamically computing a segment routing policy for a segment routing for traffic engineering (SR-TE) path. For example, in a discontinuous SR network in which SR islands (e.g., groups of neighboring routers that are enabled for segment routing) are separated by one or more routers not enabled for segment routing, instead of returning a failure because one or more routers along a path are not enabled for SR, an ingress router may generate an SR-TE operations, administrations, and management (OAM) Multi-Protocol Label Switching (MPLS) traceroute packet send the packet to a first border router of the RSVP-enabled devices along a computed path to trigger the creation of a resource reservation Label Switched Path (LSP) through the RSVP-enabled devices. In this way, segment routed LSP may be established to tunnel through the resource reservation LSP for a SR-TE path used in an SR-TE policy.

Dynamic computation of SR-TE policy for SR-enabled devices connected over non-SR-enabled devices

A method includes: obtaining one or more images of a facility containing objects; detecting positions of the objects in the images; determining, from the detected positions, respective locations in a facility coordinate system for each detected object; for each detected object, generating a trajectory based on the determined location; obtaining a set of computing device identifiers and corresponding computing device locations in the facility coordinate system; based on the identifiers and device locations and at least one of (i) the locations of the objects, (ii) the trajectories, or (iii) the image, detecting associations between the objects and the devices; detecting, based on the trajectories, a potential collision between a first detected object and a second detected object; in response to detecting the potential collision, selecting a computing device associated with at least one of the first and second detected objects; and transmitting a collision notification to the selected computing device.

Collision mitigation systems and methods

A system and method for configuring an application is described. The system identifies user collaboration data of users of an application. The user collaboration data indicates durations of collaborations between one or more users using the application. The system computes an influencer score of a first user based on the duration of collaborations between the first user and the other users. The system determines that the influencer score of the first user exceeds an influencer score threshold and generates a configuration setting of the application for the first user. The system applies the configuration setting to the application for the first user.

Adoption content propagation based on user collaboration data

An apparatus comprises a processing device configured to register one or more applications to receive resource state change invocation calls from one or more assets of an information technology infrastructure, to detect resource state changes for the one or more assets of the information technology infrastructure, and to provide, from a given one of the one or more assets of the information technology infrastructure to a given one of the one or more applications, a given resource state change invocation call responsive to detecting one or more resource state changes for the given asset. The processing device is also configured to receive, from the given application, an instruction to initiate one or more reactive actions based at least in part on the detected one or more resource state changes for the given asset, and to apply at least one of the one or more reactive actions to the given asset.

Invocation calls enabling applications to initiate reactive actions in response to resource state changes of assets

An apparatus includes a series of pipeline stages that have logic components connected to supply output data to latch components, timing correction blocks connected to the latch components, and a memory component connected to supply a correction pattern to the timing correction blocks. The timing correction blocks have a buffer connected to a multiplexor. The correction pattern controls whether the multiplexor receives an adjusted clock signal through the buffer to control whether the timing correction blocks supply an unadjusted clock signal or the adjusted clock signal to the latch components.

Post-manufacture latch timing control blocks in pipelined processors

An apparatus comprises a processing device configured to receive from a virtual desktop infrastructure client a request to recover data, to identify virtual desktops associated with the virtual desktop infrastructure client that are hosted on virtual machines running on virtualization infrastructure of a virtual desktop infrastructure environment, and to push a token to at least one of the virtual desktops. The processing device is further configured to authenticate the request to recover data based at least in part on validating a proof of knowledge of the token that is received from the virtual desktop infrastructure client, to receive from the virtual desktop infrastructure client a selection of at least a given one of a set of copies of the data of the virtual desktops, and to mount the given copy in at least one of the virtual desktops hosted on at least one of the virtual machines.

Data recovery in virtual desktop infrastructure environments

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Bengaluru, India

Sunil Kumar