Intel Corporation

Stepan Karpenko

Satish Chandra Jha

Kathiravetpillai Sivanesan

S M Iftekharul Alam

Yi Zhang

Kuilin Clark Chen

Srikathyayani Srikanteswara

Gabriel Arrobo Vidal

Ned M Smith

Venkatesan Nallampatti Ekambaram

Zongrui Ding

Eve M Schooler

Ravikumar Balakrishnan

Hassnaa Moustafa

Jeffrey Sedayao

Jessica C McCarthy

Maria E Ramirez Loaiza

Qian Li

Sebastian Schoenberg

Maruti Gupta Hyde

Vesh Raj Sharma Banjade

Jessica Mccarthy

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.

Information centric network interworking techniques

Systems and techniques for efficient remote function execution in an information centric network (ICN) are described herein. For example, a requestor node may transmit an admission probe interest packet. Here, the admission probe interest packet includes a name that includes a function. The admission probe interest packet also includes a metric of a parameter of the function. In response, the requestor node may receive a manifest data packet. The manifest includes a metric of function execution at a node that created the manifest data packet. The manifest also includes a name of an implementation of the function. The requestor node may then determine that the metric of function execution meets a threshold and transmit an interest packet that includes the name of the implementation of the function.

Efficient remote function execution in an information centric network

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.

Network function execution in information centric networks

Systems and techniques for information centric network (ICN) approximate computation caching are described herein. For example, an interest packet that includes a feature set of input data may be received. A node may then perform a search of a local data store using the feature set to determine an approximate computation result cached in the local data store. Here, the approximate computation result may be based on input data that differs from the input data named in the interest packet. The node may then return the approximate computation result to an author of the interest packet in response to the search.

Information centric network approximate computation caching

Systems and techniques for information-centric network data cache management are described herein. A demand metric may be calculated for a content item requested from an information-centric network (ICN). A resistance metric may be calculated for each cache node of a set of cache nodes in the ICN based on the demand metric. A topology of the set of cache nodes may be evaluated to identify a transmission cost for each cache node of the set of cache nodes. An influencer node may be selected from the set of cache nodes based on the resistance metric for the influencer node and the transmission cost for the influencer node. The content item may be cached in a data cache of the influencer node.

Information-centric network data cache management

An embodiment of a semiconductor package apparatus may include technology to generate first name information corresponding to data and/or content for an autonomous vehicle to represent vehicular application information based on requirements of the vehicular application information, and generate second name information corresponding to a chain of functions for an autonomous vehicle based on the requirements of the vehicular application information. Another embodiment may include technology to identify a cluster head for a cluster of autonomous vehicles, utilize the cluster head to assist in-networking caching of data and/or functions, utilize the cluster head to coordinate discovery of availability of functions, data cache resources, and/or compute resources in a proximity of the cluster head, and utilize the cluster head to coordinate producer mobility and/or consumer mobility. Other embodiments are disclosed and claimed.

Content centric dynamic ad hoc networking

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.

Optimizing operations in ICN based networks

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.

Growing community of inventors

Hillsboro, OR, United States of America

Stepan Karpenko