Telefonaktiebolaget Lm Ericsson (publ)

Chakri Padala

Amir Roozbeh

Joao Monteiro Soares

Ahsan Javed Awan

Mozhgan Mahloo

Swarup Kumar Mohalik

Ganapathy Raman Madanagopal

Vinay Yadhav

Daniel Turull

Senthamiz Selvi Arumugam

Prasanna Huddar

Nhi Vo

Chandramouli Sargor

Brian Alleyne

Sambit Nayak

Ashwani Kumar Mehra

Ashis Kumar Roy

Sumanth Mysore Srinivasamurthy

Dinesh Yadav

Ahsan Javad Awan

There is provided mechanisms for initiating writing data of a pending memory write on a host computer. A method comprises monitoring pending memory writes for a non-volatile memory write indicator (NVMWI). The NVMWI is either set or not set. The method comprises initiating writing of the data of the pending memory write. Writing of the data is initiated to both a non-volatile memory (NVM) and a volatile memory (VM) when the NVMWI for the pending memory write is set. Writing of the data otherwise is initiated only to the VM.

Snapshotting pending memory writes using non-volatile memory

In a M2M device management system, a Task Orchestration Module, TOM () external to the M2M device () manages the execution of tasks wholly or partly on the M2M device (). This alleviates the M2M device () of the need to store code, execute tasks, monitor task execution, and the like. The tasks are specified using Finite State Machine, FSM, syntax. A task URL, tURL () resource on the M2M device () provides a tURL () to a resource hosting () a service () mapping task-IDs to FSM specifications. Communications between the TOM () and M2M device () is compactly and efficiently achieved using a device management protocol server/client system (), such as LightWeightM2M (LWM2M). A predetermined mapping () at the M2M device () maps action labels to library functions () of the M2M device (), obviating the need for code in the M2M device () to interpret and execute actions. An event trigger decision module () at the TOM () interprets events and conditions reported by the device management protocol client (), and determines when state transition events have occurred.

System and method for efficient execution and monitoring of machine-to-machine device management tasks

A method performed by a coordinating entity in a disaggregated data center architecture wherein computing resources are separated in discrete resource pools and associated together to represent a functional server. The coordinating entity obtains a setup of processor cores that are coupled logically as the functional server, and determines an index indicating an identity of a cache coherency domain based on the obtained setup of processor cores. The coordinating entity further configures one or more communicating entities associated with the obtained setup of processor cores, to use the determined index when handling updated cache related data.

Network entities and methods performed therein for handling cache coherency

There is provided mechanisms for snapshotting data of a host application. A method is performed by a field-programmable gate array (FPGA). The method comprises snooping a cache coherent interconnect of a host computer on which the host application is running. The cache coherent interconnect is snooped for dirty cache lines, each dirty cache line having an address. The method comprises writing, only when the address of any of the dirty cache lines has a match in a snapshot address table, data of that dirty cache line to a non-volatile memory.

Snapshotting data of a host application

An artificial intelligence, AI, planning controller control the timing of when a plan () to accomplish a task () is synthesized. The AI planning controller in this regard determines a quiescent phase () during which values of at least some predicates describing a state of the system () will remain stable. The AI planning controller then controls artificial intelligence planning to synthesize the plan () during at least some of the quiescent phase ().

Automated plan synthesis and action dispatch

A method and a supporting node () for supporting a process scheduling node () when scheduling a process to a first execution node () of a cluster () of execution nodes () are disclosed. The supporting node () receives (A), from the first execution node () being selected by the process scheduling node () for execution of the process, a request for allocation of one or more HA devices (). The supporting node () allocates at least one HA device (), being associated with a second execution node () of the cluster (), to the first execution node (). The supporting node () reduces a value representing number of HA devices () available for allocation to the first execution node () while taking said at least one HA device () into account. The supporting node () sends the value to the first execution node (). The supporting node () sends, to the first execution node (), a message indicating successful allocation of said at least one HA device (). A corresponding computer program () and a computer program carrier () are also disclosed.

Method and supporting node for supporting process scheduling in a cloud system

A system and method to distribute traffic flows among a plurality of applications in a data center system. An apparatus is operable with a plurality of applications connected through a programmable switch and is configured to select traffic flows to ones of the plurality of applications. The apparatus is also configured to monitor and collect statistics for the traffic flows to determine rule level statistics, and move at least one traffic flow of the traffic flows from a network interface to a different network interface based on the rule level statistics.

System and method to distribute traffic flows among a plurality of applications in a data center system

A data storage system in which different copies of a data object (e.g., a file) can be compressed using different compression processes (e.g. different compression algorithms/processes and/or compression parameters), with some favoring faster decompression, while others favoring storage space savings. When a data object needs to be accessed, the copy of the data object that can be decompressed using minimal resource (computing and/or time) can be located and retrieved.

Methods, apparatuses, computer programs and computer program products for data storage

A method in a network node is provided for mitigating disruption during maintenance of an edge gateway node of a communication network. The edge gateway node connects devices to services(s) of the communication network. First device(s) are capable of connecting to a cloud environment in the absence of the edge gateway node, and second device(s) are incapable of connecting to the cloud environment in the absence of the edge gateway node. The method comprises: establishing respective virtual devices for the second device(s), the virtual devices comprising predictive models trained to replicate data output by the respective second device(s); and, during a time interval in which the maintenance of the edge gateway node is performed: configuring the virtual device(s) to connect to a virtual edge gateway node established in the cloud environment; and configuring at least one of the first device(s) to connect to the virtual edge gateway node.

Method for mitigating disruption during maintenance of an edge gateway node

A method and a resource scheduler for enabling a computing unit to use memory resources in a remote memory pool. The resource scheduler allocates a memory unit in the remote memory pool to the computing unit for usage of memory resources in the allocated memory unit, and assigns an optical wavelength for communication between the computing unit and the allocated memory unit over an optical network. The resource scheduler further configures at least the computing unit with a first mapping between the assigned optical wavelength and the allocated memory unit. Thereby, the optical network can be utilized efficiently to achieve rapid and reliable communication of messages from the computing unit to the allocated memory unit.

Method and resource scheduler for enabling a computing unit to map remote memory resources based on optical wavelength

A computing unit, a memory pool and methods therein, for enabling the computing unit to use memory resources in the memory pool, e.g. as configured by a resource scheduler. When a memory unit in the memory pool is allocated to the computing unit and an optical wavelength is assigned for communication between the computing unit and the allocated memory unit over an optical network, the computing unit is configured with a first mapping between the assigned optical wavelength and the allocated memory unit. Thereby, the optical network can be utilized efficiently to achieve rapid and reliable communication of messages from the computing unit to the allocated memory unit.

Methods, computing unit and memory pool for enabling usage of remote memory resources

A method and a hardware acceleration managing node for managing a request for hardware acceleration (HA). The hardware acceleration managing node receives, from a HA interfacing node, the request for hardware acceleration of processing of source data. The hardware acceleration managing node sends an indication of a source memory location(s) for storing of the source data. The hardware acceleration managing node selects one or more hardware acceleration devices. The hardware acceleration managing node receives a chunk of code to be accelerated. The hardware acceleration managing node sends, to the one hardware acceleration device, a set of acceleration instructions related to the chunk of code and the indication of the source memory location. The hardware acceleration managing node receives an indication of a result memory location indicating result data. The hardware acceleration managing node sends an indication of completed hardware acceleration to the HA interfacing node.

Method and node for managing a request for hardware acceleration by means of an accelerator device

A method and a reallocation component for managing a reallocation of information from a source memory sled to a target memory sled. The source and target memory sleds comprise a respective table indicating source status for each page of the source and target memory sleds, respectively. The reallocation component initiates, for each respective source page whose status indicates that the respective source page is initialized, reallocation of the respective content allocated on each respective source page of the source memory sled to a respective target page of the target memory sled. The reallocation component sets for each respective source page whose status indicates that the respective source page is uninitialized, the respective target status for the respective target page to indicate uninitialized, while refraining from reallocating the respective content allocated on each respective source page whose status indicates that the respective source page is uninitialized.

Method and reallocation component for managing reallocation of information from source to target memory sled

A method performed by a switch in a software-defined network (SDN), the switch being communicatively coupled to a controller, is provided. The method includes performing a first flow action with respect to a first flow (e.g., deleting the first flow). The method further includes storing a first flow event data object, the first flow event data object indicating the first flow and the first flow action. The method further includes storing a first tag in association with the flow event data object. The method further includes generating a flow event message comprising the first flow event data object and the first tag. The method further includes sending the flow event message to the controller.

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Bengaluru, India

Chakri Padala