公开(公告)号：US11979315B2

公开(公告)日：2024-05-07

申请号：US16456687

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： S. M. Iftekharul Alam ,  Satish Chandra Jha ,  Kuilin Clark Chen ,  Yi Zhang ,  Venkatesan Nallampatti Ekambaram ,  Ned M. Smith ,  Ravikumar Balakrishnan ,  Gabriel Arrobo Vidal ,  Kathiravetpillai Sivanesan ,  Stepan Karpenko ,  Jeffrey Christopher Sedayao ,  Srikathyayani Srikanteswara ,  Eve M. Schooler ,  Zongrui Ding

IPC: H04L69/14 ,  H04L45/24 ,  H04L45/302 ,  H04L47/12

CPC classification number: H04L45/306 ,  H04L45/24 ,  H04L47/12 ,  H04L69/14

Abstract: Systems and techniques for information centric network (ICN) interworking are described herein. For example, a request may be received at a convergence layer of a node. Here, the request originates from an application on the node. A network protocol, from several available to the node, may be determined to transmit the request. The node then transmits the request via the selected network protocol.

公开(公告)号：US11665777B2

公开(公告)日：2023-05-30

申请号：US17251117

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Ravikumar Balakrishnan ,  Nageen Himayat ,  Yiting Liao ,  Gabriel Arrobo Vidal ,  Roya Doostnejad ,  Vijay Sarathi Kesavan ,  Venkatesan Nallampatti Ekambaram ,  Maria Ramirez Loaiza ,  Vallabhajosyula S. Somayazulu ,  Srikathyayani Srikanteswara

IPC: H04W72/12 ,  H04W72/1263 ,  G06K9/62 ,  G06N3/08 ,  H04W16/14 ,  H04W24/02 ,  H04W24/10 ,  H04W72/0446 ,  H04W88/04

CPC classification number: H04W72/1263 ,  G06K9/6262 ,  G06N3/08 ,  H04W16/14 ,  H04W24/02 ,  H04W24/10 ,  H04W72/0446 ,  H04W72/1231 ,  H04W88/04

Abstract: Systems and methods of using machine-learning to improve communications across different networks are described. A CIRN node identifies whether it is within range of a source and destination node in a different network using explicit information or a machine-learning classification model. A neural network is trained to avoid interference using rewards associated with reduced interference or retransmission levels in each network or improved throughput at the CIRN node. A machine-learning scheduling algorithm determines a relay mode of the CIRN node for source and destination node transmissions. The scheduling algorithm is based on the probability of successful transmission between the source and destination nodes multiplied by a collaboration score for successful transmission and the probability of unsuccessful transmission of the particular packet multiplied by a collaboration score for unsuccessful transmission.

公开(公告)号：US11381636B2

公开(公告)日：2022-07-05

申请号：US16457402

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： S M Iftekharul Alam ,  Stepan Karpenko ,  Satish Chandra Jha ,  Yi Zhang ,  Kuilin Clark Chen ,  Kathiravetpillai Sivanesan ,  Gabriel Arrobo Vidal ,  Srikathyayani Srikanteswara ,  Hassnaa Moustafa ,  Eve M. Schooler ,  Sebastian Schoenberg ,  Venkatesan Nallampatti Ekambaram ,  Ravikumar Balakrishnan

IPC: H04L67/10 ,  G06F9/44 ,  H04W4/029

Abstract: To address technical problems facing managing multiple sources of information from multiple vehicles, vehicular computing power may be exploited to process such information before sharing with others, which may help reduce network traffic overhead. A technical solution to improve this information processing over vehicular networks by using a hybrid Named Function Network (NFN) and Information Centric Network (ICN), such as in a hybrid NFN/ICN. An NFN may be used to orchestrate computations in a highly dynamic environment after decomposing the computations into a number of small functions. A function may include a digitally signed binary supplied by a car vendor or other trusted authority and executed within a controlled environment, such as a virtual machine, container, Java runtime-environment, or other controlled environment.

公开(公告)号：US11025520B2

公开(公告)日：2021-06-01

申请号：US16457435

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： Yi Zhang ,  Zongrui Ding ,  S. M. Iftekharul Alam ,  Satish Chandra Jha ,  Gabriel Arrobo Vidal ,  Kuilin Clark Chen

IPC: H04L12/26 ,  H04W24/08

Abstract: Systems and techniques for quality-of-service (QoS) in cellular information centric network (ICN) are described herein. To this end, QoS characteristics may be obtained for an ICN packet. The QoS characteristics may then be applied to the ICN packet. The ICN packet may then be transmitted in accordance with the QoS characteristics.

公开(公告)号：US10917328B2

公开(公告)日：2021-02-09

申请号：US16454427

申请日：2019-06-27

Applicant: Intel Corporation

Inventor： Satish Chandra Jha ,  Kathiravetpillai Sivanesan ,  Venkatesan Nallampatti Ekambaram ,  Ravikumar Balakrishnan ,  Srikathyayani Srikanteswara ,  S. M. Iftekharul Alam ,  Ned M. Smith ,  Yi Zhang ,  Vesh Raj Sharma Banjade ,  Gabriel Arrobo Vidal ,  Kuilin Clark Chen ,  Zongrui Ding ,  Jessica C. McCarthy ,  Stepan Karpenko

IPC: H04L12/751 ,  H04L29/08 ,  H04L12/803 ,  H04L12/725

Abstract: Methods are described for providing routing updates in information-centric networks (ICNs) by using a centralized ICN routing coordination unit to exchange updated routing tables with certain popular nodes in popular node segments, by using a routing coordinator that executes an NFN execution plan, or by flooding an ICN-Route-Discovery-Request over multiple ICN route segments between first and second popular nodes, the second node selecting one of the ICN route segments and responding to the ICN-Route-Discovery-Request by sending a unicast Route-Discovery-Response to the first node over the selected one of the ICN route segments. Other methods for providing context aware forwarding for dynamic ICNs such as vehicular networks, RTT estimation for ICNs, and machine learning techniques for optimizing/compressing a forwarding information based in an ICN node are also provided.

公开(公告)号：US20200305042A1

公开(公告)日：2020-09-24

申请号：US16456743

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： S. M. Iftekharul Alam ,  Gabriel Arrobo Vidal ,  Ravikumar Balakrishnan ,  Kuilin Clark Chen ,  Zongrui Ding ,  Venkatesan Nallampatti Ekambaram ,  Maruti Gupta Hyde ,  Satish Chandra Jha ,  Stepan Karpenko ,  Kathiravetpillai Sivanesan ,  Maria Ramirez Loaiza ,  Ned M. Smith ,  Srikathyayani Srikanteswara ,  Yi Zhang

IPC: H04W36/08 ,  H04W28/06 ,  H04W28/14 ,  H04W8/24 ,  H04W76/27

Abstract: To address technical problems facing producer and consumer mobility in cellular ICN/NDN networks, a technical solution includes leveraging device tracking during handover in the cellular system to optimize cache replacement and route updates during handover. This solution also improves performance by advance caching and route update during mobility handling, which reduces or eliminates interest packet flooding and latency for upcoming potential content request and retrieval. This solution also improves performance by operating based on the observed popularity of the content, and based on the mobility patterns of the consumer and producer.

公开(公告)号：US20200244728A1

公开(公告)日：2020-07-30

申请号：US16454836

申请日：2019-06-27

Applicant: Intel Corporation

Inventor： Satish Chandra Jha ,  Kathiravetpillai Sivanesan ,  Ned M. Smith ,  Srikathyayani Srikanteswara ,  Eve M. Schooler ,  Jeffrey Christopher Sedayao ,  Stepan Karpenko ,  Venkatesan Nallampatti Ekambaram ,  S. M. Iftekharul Alam ,  Kuilin Clark Chen ,  Yi Zhang ,  Gabriel Arrobo Vidal ,  Jessica C. McCarthy ,  Maruti Gupta Hyde ,  Hassnaa Moustafa

IPC: H04L29/08 ,  H04L12/935 ,  H04L12/733 ,  G06F21/10 ,  G06F21/60 ,  H04L9/30

Abstract: Techniques are provided for optimizing the operations of an ICN, particularly for an ICN with clustered nodes. A cluster head node may function as an orchestrator and a coordinator for efficient caching, routing, and computing and for co-existence of ICN and IP nodes in the network. A content store of an ICN router may include an indication of the time after which data expires and the new data is to be swapped in place of the expired data after that point in time. Digital rights management (DRM) enforcement is provided by managing access to a DRM engine in at least one of the ICN nodes in a cluster. Congestion control is provided by minimizing the number of ICN scoped interest requests and thereby minimizing the potentially high volume of data responses. These techniques optimize interest packet forwarding and processing through collaboration with neighboring ICN nodes.