Instart Logic, Inc.

Alcatel Lucent

Akamai Technologies, Inc.

Alcatel-lucent USA Inc.

Sharad Jaiswal

Hariharan Kolam

Mohammad H Reshadi

Mehrdad Reshadi

Ashok Anand

Nisheeth Shrivastava

Samik Datta

Thomas Y Woo

Rajeev Ramnarain Rastogi

Partha Dutta

Rajaram Gaunker

Madhukar Nagaraja Kedlaya

Supratim Deb

Vikram Srinivasan

Animesh Nandi

Anirban Majumder

Girish Vaitheeswaran

Saurabh Panjwani

Padmapani Ganti

Saurabh Shukla

Sreedal Menon

Shubham Toshniwal

Avhishek Chatterjee

A method of delivering a webpage is disclosed. It is determined that delivery of at least a portion of third-party content associated with a webpage is to be accelerated. One or more pre-conditions to be met prior to the delivery of the accelerated third-party content are determined. A loading order configuration for the webpage is determined based at least in part on the one or more pre-conditions. At least a portion of the webpage that modifies a loading order of content portions of the webpage is determined based on the loading order configuration.

Third-party Ad acceleration

A method of speeding up the delivery of a dynamic webpage is disclosed. A plurality of responses to a plurality of requests for a webpage is received, the webpage including dynamic components. The plurality of responses is compared to identify common and dynamic components across the plurality of requests. A cached stub is dynamically adapted based on the comparison within a learning window, the cached stub including the identified common components and placeholders for portions of the identified dynamic components. The dynamically adapted cached stub is sent in response to at least some of the plurality of requests for the webpage. A frequency of reloading of the webpage is monitored, wherein a reloading of the webpage is triggered by a detection of the dynamically adapted cached stub having one of a plurality of types of error. The learning window is adjusted based on a frequency of reloading of the webpage.

Adaptive learning periods in HTML streaming

A method of speeding up the delivery of a dynamic webpage is disclosed. A request for a webpage is received, the webpage including one or more dynamic components. A cached stub is sent in response to the request, wherein the cached stub includes components empirically determined as static components of the webpage, and wherein the cached stub includes a placeholder replacing at least a portion of a first dynamic component of the webpage. A script is injected in the cached stub that intercepts any access to the placeholder.

Placeholders for dynamic components in HTML streaming

A plurality of sets of information is received, wherein each set of information indicates dependent resources of a corresponding referred web content, wherein each set of information is collected in response to the corresponding referred web content having been loaded on one of one or more client devices. The received sets of information associated with the corresponding referred web content are used to update a list of candidate prefetchable resources for a referring web content that refers to the corresponding referred web content. A request requesting for a list of prefetchable resources is received from a requestor, wherein the request is associated with loading the referring web content on the requestor's client device. One or more resources from the list of candidate prefetchable resources are selected as prefetchable resources based on one or more criteria. One or more identifiers identifying the one or more selected resources are sent.

Speculative prefetch of resources across page loads

A method of speeding up the delivery of a dynamic webpage is disclosed. A request for a webpage is received, the webpage including one or more dynamic components. A cached stub is sent in response to the request, the cached stub including common components of the webpage that were empirically determined to be common components across multiple requests for the webpage. The request for the webpage is forwarded to an origin server. The webpage is received from the origin server. A difference between the cached stub and the webpage received from the origin server is determined. An instruction to correct the difference between the cached stub and the webpage received from the origin server is sent.

HTML streaming

Systems and methods for preventing web services from using sensitive data in customizing web pages for a user. In one embodiment, a protection system is implemented between the user and the web service. The protection system identifies past interactions of the user with the web service, identifies text in the past interactions between the user and the web service, and identifies subjects discussed in the text. The protection system then communicates with the user to determine which of the subjects are sensitive to the user, and deletes a history stored by the web service for the user that relates to the sensitive subjects.

Protection of sensitive data of a user from being utilized by web services

An illustrative mobile device includes a data storage configured to at least temporarily store visual information and at least one processor that is configured to determine whether to request visual information processing from a network with which the mobile device may communicate. The processor is configured to determine a mobile device condition and a network condition. The processor determines a type of feature from the visual information to use for classification based on the determined mobile device and network conditions. The processor is configured to classify the visual information based on the determined type of feature and determine a confidence indicator based on the classification. The processor determines whether to request visual information processing from the network based on the determined confidence indicator.

Visual information processing allocation between a mobile device and a network

A method and system for increasing accuracy in estimating average time taken to travel through a chosen road segment is provided. The method includes determination of time taken by one or more vehicles to travel through the road segments. Further, correlated road segments for which time taken to travel through the correlated road segments is correlated with the time taken to travel through the chosen road segment, are identified. A data repository stores a list of the one or more correlated road segments. Among the correlated road segments, one or more preferred road segments that increases the accuracy in determining the average time taken to travel through the chosen road segment, is determined by at least one processor. Further, the processor estimates the average time taken to travel through the chosen road segment using, data corresponding to time taken to travel through, the preferred road segments and the chosen road segment.

Reliability of travel time estimation

An example embodiment includes determining a cut of a graph to obtain a bi-partite sub-graph, where the graph represents a plurality of nodes and links between the plurality of nodes in a wireless mesh network. A channel is assigned to the bi-partite graph, and the obtained bi-partite subgraph is removed from the graph. The determining, assigning and removing steps are repeated until the graph has been divided into k bi-partite subgraphs, where k is the number of channels being used for scheduling.

Channel allocation for wireless mesh networks

Growing community of inventors

Bengaluru, India

Sharad Jaiswal