Tata Consultancy Services Limited

Intel Corporation

Samar Shailendra

Hemant Kumar Rath

Bighnaraj Panigrahi

Anantha Simha

Arpan Pal

Shameemraj Mohinuddin Nadaf

Balamuralidhar Purushothaman

Miltiadis Filippou

Abhijan Bhattacharyya

Hrishikesh Sharma

Jyotirmoy Karjee

Dario Sabella

Garima Mishra

Aniruddh Rao Kabbinale

Arun Kumar A V

Balamurlidhar Purushothaman

Senthilmurugan Sengottuvelan

Kumar Rath Hemant

Jyotirm Karjee

Purushottamman Balamuralidhar

Bighnaraj Panigrah I

Anantha Shimha

Various approaches are provided for enabling Edge Dual Deployment (EDD). EDD includes Multi-access edge computing (MEC) Dual Deployments (MDD) initialization performed as a preliminary step before the actual registration, as a mechanism to allow the two platforms (EES and MEC platform) to communicate directly. MDD establishment is a dual registration mechanism of the edge application in the EDD environment. MDD update and closing are analogous registration update and de-registration processes, with both sub-cases.

Preferred app registration in MEC dual deployments

In the field of Internet of Things understanding need of applications and translating them to network parameters and protocol parameters is a major challenge. This disclosure addresses problem of enabling network services by cognitive sense-analyze-decide-respond framework. A processor implemented method is provided for enabling network aware applications and applications aware networks by a sense analyze decide respond (SADR) framework. The processor implemented method includes sensing, at least one application parameter and at least one network parameter to obtain a plurality of sensed information; analyzing, the plurality of sensed information is filtered and synchronized to generate a plurality of derived parameters; determining, a plurality of rules based on the plurality of derived parameters; validating, the plurality of rules for a plurality of scenarios to obtain plurality of decisions; and enabling, at least one of (i) network, (ii) application and (iii) protocol control based on the plurality of decisions.

System and method for enabling intelligent network services by cognitive sense-analyze-decide-respond framework

This disclosure relates generally to telecommunication networks, and more particularly to a method and system for delay aware uplink scheduling in a communication network. The telecommunication network performs data uplink and data downlink associated with data communication between multiple transmitter-receiver pairs connected to the network, by using specific scheduling schema as part of the data processing. Disclosed are method and system for performing a delay-aware uplink scheduling in the communication network. For an uplink request received from a transmitter, the system estimates downlink delay at the corresponding receiver side. The system further estimates a processing delay for the received uplink request. Based on the estimated downlink delay and the processing delay, the system determines an uplink delay budget for the transmitter. Further, based on the uplink delay budget and an achievable data rate computed for the transmitter, the system schedules uplink for the transmitter.

Method and system for delay aware uplink scheduling in a communication network

In LTE Random Access Channel (RACH) mechanism, devices use slotted ALOHA based protocol for RACH message exchange. During these messages exchange, if a device does not get a response from a base-station (BS), the device assumes that it is not able to reach base station due to insufficient transmission power and increases transmit power to reach to the base station. However, at higher density most of requests are lost due to collision. In existing RACH procedure, device unnecessarily ramps power in next RACH process which leads to power wastage in already resource constrained device. When there is failure of reception of RACH process, the present disclosure computes time delays (TD) based on a RSSI value obtained from a message transmitted by the BS, and initiates RACH process accordingly. The embodiments further enable requests transmission from device to BS by ramping power of the devices based on the computed TD.

Systems and methods for delay based power ramping of devices

This disclosure relates generally to provisioning network services in a cloud computing environment, and more particularly to framework for provisioning network services in a heterogeneous cloud computing environment. In one embodiment, the disclosure includes a network as a service (NaaS) layer under a cloud provisioning platform. The NaaS layer can be interfaced with any cloud provisioning platform. The NaaS layer serves the networking needs of the heterogeneous cloud environment. It provides network services like monitoring, notifications, QoS policies, network topology and other services. For example, the cloud provisioning platform defines a virtual network and attaches a plurality of virtual machines to it. All the communications related to creation/deletion/update of virtual networks, virtual subnets, virtual ports, virtual router, virtual interfaces etc., are sent to the NaaS layer. On receiving the communication, the NaaS layer takes necessary steps to provide the network services as per the needs of the request. Apart from provisioning, the NaaS layer periodically monitors the network elements as well.

Framework for provisioning network services in cloud computing environment

A method and system is provided for distributed optimal caching for information centric networking. The system and method disclosed herein enables each router/node in the network to make an independent decision to solve the optimization problem based upon a cost feedback from its neighbors. Content is received by a first router which determines if it should store the content in its cache based on a Characterizing Metrics (CM) value or send it to a neighbor router j, where the neighbor router j is selected based on a transaction cost determination. The node j on receiving the content shared with itself again performs similar computation to determine if the content should be stored in its cache. The method is performed iteratively for optimal distributed caching.

Method and system for distributed optimal caching of content over a network

A computer implemented system for providing robust communication links to unmanned aerial vehicles is envisaged. It comprises a plurality of nodes which communicate with each other and with an unmanned aerial vehicle to allow exchange of data. A 3D signal coverage model is created which determines signal coverage provided by the plurality of nodes. A navigator present in the system navigates the unmanned aerial vehicle to follow a stored flight path based on this 3D model. Waypoints present in the path of the unmanned aerial vehicle are then identified and suitable waypoints are selected from where sensed pre-stored data is collected. A suitable node is then selected based on the stored 3D signal coverage model, location of the unmanned aerial vehicle and the nodes, and the signal strength of the nodes and the collected data is transmitted to the suitable node through the unmanned aerial vehicle to provide robust communication.

Computer implemented system and method for providing robust communication links to unmanned aerial vehicles

A technique for estimating cache size for cache routers in information centric networks (ICNs) is disclosed. In an example, an average rate of incoming requests and a probability of occurrence of each request at a cache router in a predefined time interval is determined. Further, a relation between cache hit and cache miss with and without replacement is derived based on the probability of occurrence of each request. Furthermore, an entropy of the requests is computed based on the probability of occurrence of each request. Moreover, a diversity index of the requests is calculated based on the entropy and the average rate of the requests. A cache size for the cache router is then estimated based on a user defined probability of cache hit, the average rate of the requests, the diversity index of the requests and the relation between the cache hit and cache miss with and without replacement.

Estimating cache size for cache routers in information centric networks

The present application provides a method and system for optimal caching of content in the Information Centric Networks (ICN) and a cache replacement based on a content metric value. The method and system comprises requesting for a plurality of content by a user to a nearest local or edge ICN cache router; delivering by the local or edge ICN cache router the requested plurality of content to the user if it is available in its cache; else forwarding the request for the plurality of content to any of intermediate ICN cache router for finding source of the requested plurality of content; downloading the plurality of content in its downstream path; and storing the downloaded plurality of content based on a content metric value derived by a content metric system (CMS) based on a plurality of network parameters for the requested plurality of content.

Method and system for optimal caching of content in an information centric networks (ICN)

Methods and systems for providing requested content to a user device in an Overlay Information Centric Network (O-ICN) architecture are disclosed herein. The method may include receiving a request for accessing content, from the user device. The request is routed to the ICN manager from an ICN router. The method may also include parsing the request to determine whether the request is an ICN based request. The ICN-based request is associated with a flag. Further, the method includes based on the determination, identifying at least one network entity hosting the requested content. The identification is based on a name of the content. The method also includes sending a notification to the at least one identified network entity for providing the requested content to the user device.

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Bengaluru, India

Samar Shailendra