Abstract: Aspects of the subject disclosure are directed towards monitoring application performance during actual use, particularly mobile application performance. Described is instrumenting mobile application binaries to automatically identify a critical path in user transactions, including across asynchronous-call boundaries. Trace data is logged by the instrumented application to capture UI manipulations, thread execution, asynchronous calls and callbacks, UI updates and/or thread synchronization. The trace data is analyzed to assist developers in improving application performance.

Abstract: Aspects of the subject disclosure are directed towards retrieving advertisements relevant to application content based upon keywords extracted from the application content. In one aspect, a client-side component scrapes application page content to obtain keywords and feature-based weights for those keywords. The keywords are sent to an advertisement server, which returns an advertisement based upon one or more of the keywords. Also described is the hashing of keywords before sending to the advertisement server to protect client privacy, and the use of a Bloom filter to avoid sending keywords to the advertisement server that do not correspond to (e.g., popular) advertisement keywords.

Abstract: An application may be augmented for application-centric socialization activities for a user of the application, based on instrumenting the application for the application-centric socialization activities. The application-centric socialization activities may be launched from within the augmented application on a device, the application-centric socialization activities determined based on one or more contexts associated with the user that are determined during execution of the augmented application on the device.

Abstract: Methods and systems for reducing network usage of a computing device are provided herein. The method includes receiving a network call relating to a network transfer from an application at an application programming interface of the computing device. The method also includes determining whether the network transfer is relevant to a current state of the application and procrastinating the network transfer if it is not relevant to the current state of the application.

Abstract: The deep application crawling technique described herein crawls one or more applications, commonly referred to as “apps”, in order to extract information inside of them. This can involve crawling and extracting static data that are embedded within apps or resource files that are associated with the apps. The technique can also crawl and extract dynamic data that apps download from the Internet or display to the user on demand, in order to extract data. This extracted static and/or data can then be used by another application or an engine to perform various functions. For example, the technique can use the extracted data to provide search results in response to a user query entered into a search engine. Alternately, the extracted static and/or dynamic data can be used by an advertisement engine to select application-specific advertisements. Or the data can be used by a recommendation engine to make recommendations for goods/services.

Abstract: Methods and systems for dynamically providing application analytic information are provided herein. The method includes inserting instrumentation points into an application file via an application analytic service and dynamically determining desired instrumentation points from which to collect application analytic data. The method also includes receiving, at the application analytic service, the application analytic data corresponding to the desired instrumentation points and analyzing the application analytic data to generate application analytic information. The method further includes sending the application analytic information to a client computing device.

Abstract: An “RFID-Based Inference Platform” provides various techniques for using RFID tags in combination with other enterprise sensors to track users and objects, infer their interactions, and provide these inferences for enabling further applications. Specifically, observations are collected from combinations of RFID tag reads and other enterprise sensors including electronic calendars, user presence identifiers, cardkey access logs, computer logins, etc. Given sufficient observations, the RFID-Based Inference Platform automatically differentiates between tags associated with or affixed to people and tags affixed to objects. The RFID-Based Inference Platform then infers additional information including identities of people, ownership of specific objects, the nature of different “zones” in a workspace (e.g., private office versus conference room).

Abstract: A “Wi-Fi Multicaster” provides a practical and efficient Wi-Fi multicast system for environments having potentially large numbers of Wi-Fi clients. Significantly, the Wi-Fi Multicaster does not require any changes to the 802.11 protocol, or to the underlying Wi-Fi infrastructure. In various embodiments, the Wi-Fi Multicaster uses pseudo-broadcast, and augments it with destination control, association control and optional proactive FEC (forward error correction) to improve multicast performance. More specifically, the Wi-Fi Multicaster system converts multicast packets to targeted unicast transmissions. To minimize the amount of airtime consumed, the Wi-Fi Multicaster uses destination control in combination with various algorithms for association control. Further, in various embodiments, the Wi-Fi Multicaster includes an adaptive, proactive FEC scheme to reduce overall packet losses. Finally, to overcome the challenges posed by encryption protocols such as 802.

Abstract: A system for capturing and delivering location-based information and services captures wireless landmark information sent by mobile devices to build a map of locations based on the relationship between wireless landmarks that are visible to the mobile device at the same time. A wireless landmark may be a cellular telephone base site or local network (WiFi/Bluetooth) access point. The mobile device may capture a location signature using identifiers for all wireless local area networks in range as well as one or more cellular telephone transmitters. A location service resolves the location signature into a relative location that an application service may use to record incoming information or to send location-specific information such as traveler comments, reviews, or advertisements. The distance between two mobile devices may be calculated using weighted edge values, representing a number of ‘hops’ between location signatures.

Abstract: A system for capturing and delivering location-based information and services captures wireless landmark information sent by mobile devices to build a map of locations based on the relationship between wireless landmarks that are visible to the mobile device at the same time. A wireless landmark may be a cellular telephone base site or local network (WiFi/Bluetooth) access point. The mobile device may capture a location signature using identifiers for all wireless local area networks in range as well as one or more cellular telephone transmitters. A location service resolves the location signature into a relative location that an application service may use to record incoming information or to send location-specific information such as traveler comments, reviews, or advertisements. The distance between two mobile devices may be calculated using weighted edge values, representing a number of ‘hops’ between location signatures.

Abstract: A method to determine if a rogue device is connected to a specific wired network from dynamic host control protocol (DHCP) requests on the wired network. These DHCP requests are analyzed to determine the type of device issuing the request. Once the type of device has been determined, it can be checked against a list of authorized device types. If the device issuing the DHCP request is not an authorized device type, then it can be determined that the suspect device is a rogue that is connected to the specific wired network. Additionally, even if the system of the present invention determines that it is an authorized device type, if the device is not one of the few authorized devices of this type, e.g. because its MAC address is not recognized as that of one of the authorized devices, the system can flag the suspect as a rogue.

Abstract: A system for capturing and delivering location-based information and services captures wireless landmark information sent by mobile devices to build a map of locations based on the relationship between wireless landmarks that are visible to the mobile device at the same time. A wireless landmark may be a cellular telephone base site or local network (WiFi/Bluetooth) access point. The mobile device may capture a location signature using identifiers for all wireless local area networks in range as well as one or more cellular telephone transmitters. A location service resolves the location signature into a relative location that an application service may use to record incoming information or to send location-specific information such as traveler comments, reviews, or advertisements. The distance between two mobile devices may be calculated using weighted edge values, representing a number of ‘hops’ between location signatures.

Abstract: An “RFID-Based Inference Platform” provides various techniques for using RFID tags in combination with other enterprise sensors to track users and objects, infer their interactions, and provide these inferences for enabling further applications. Specifically, observations are collected from combinations of RFID tag reads and other enterprise sensors including electronic calendars, user presence identifiers, cardkey access logs, computer logins, etc. Given sufficient observations, the RFID-Based Inference Platform automatically differentiates between tags associated with or affixed to people and tags affixed to objects. The RFID-Based Inference Platform then infers additional information including identities of people, ownership of specific objects, the nature of different “zones” in a workspace (e.g., private office versus conference room).

Abstract: A “Wi-Fi Multicaster” provides a practical and efficient Wi-Fi multicast system for environments having potentially large numbers of Wi-Fi clients. Significantly, the Wi-Fi Multicaster does not require any changes to the 802.11 protocol, or to the underlying Wi-Fi infrastructure. In various embodiments, the Wi-Fi Multicaster uses pseudo-broadcast, and augments it with destination control, association control and optional proactive FEC (forward error correction) to improve multicast performance. More specifically, the Wi-Fi Multicaster system converts multicast packets to targeted unicast transmissions. To minimize the amount of airtime consumed, the Wi-Fi Multicaster uses destination control in combination with various algorithms for association control. Further, in various embodiments, the Wi-Fi Multicaster includes an adaptive, proactive FEC scheme to reduce overall packet losses. Finally, to overcome the challenges posed by encryption protocols such as 802.

Abstract: A method of detecting rogue devices that are coupled to a wired network without generating false negative or false positive alerts is provided. When a wireless monitor detects an observed SSID and/or BSSID, various tests are run to determine whether the observed device is actually coupled to the wired network. To guard against the suspect device spoofing an authorized SSID and/or BSSID, location information is gathered so that the network administrator can pinpoint the location of the rogue device. If the device is not recognized, various other tests are run to determine whether the unrecognized device is actually connected to the wired network. These tests include an association test, a MAC address test, an ARP test, a packet replay test, a correlation test, and/or a DHCP fingerprint test. Once it is determined that the suspect device is a rogue connected to the wired network, an appropriate alert is generated.

Abstract: An “RFID-Based Inference Platform” provides various techniques for using RFID tags in combination with other enterprise sensors to track users and objects, infer their interactions, and provide these inferences for enabling further applications. Specifically, observations are collected from combinations of RFID tag reads and other enterprise sensors including electronic calendars, user presence identifiers, cardkey access logs, computer logins, etc. Given sufficient observations, the RFID-Based Inference Platform automatically differentiates between tags associated with or affixed to people and tags affixed to objects. The RFID-Based Inference Platform then infers additional information including identities of people, ownership of specific objects, the nature of different “zones” in a workspace (e.g., private office versus conference room).

Abstract: A method is provided, wherein the method comprises identifying nearby wireless communication access points (APs) to which a client computing environment can cooperate with to communicate and receive data through a subscription to a neighborcast group from indentified nearby cooperating access points such that illustratively the neighborcast group comprises a communications overlay between cooperating client computing environments employing the identified nearby wireless communications access points.

Abstract: A system for capturing and delivering location-based information and services captures wireless landmark information sent by mobile devices to build a map of locations based on the relationship between wireless landmarks that are visible to the mobile device at the same time. A wireless landmark may be a cellular telephone base site or local network (WiFi/Bluetooth) access point. The mobile device may capture a location signature using identifiers for all wireless local area networks in range as well as one or more cellular telephone transmitters. A location service resolves the location signature into a relative location that an application service may use to record incoming information or to send location-specific information such as traveler comments, reviews, or advertisements. The distance between two mobile devices may be calculated using weighted edge values, representing a number of ‘hops’ between location signatures.

Abstract: An “RFID-Based Inference Platform” provides various techniques for using RFID tags in combination with other enterprise sensors to track users and objects, infer their interactions, and provide these inferences for enabling further applications. Specifically, observations are collected from combinations of RFID tag reads and other enterprise sensors including electronic calendars, user presence identifiers, cardkey access logs, computer logins, etc. Given sufficient observations, the RFID-Based Inference Platform automatically differentiates between tags associated with or affixed to people and tags affixed to objects. The RFID-Based Inference Platform then infers additional information including identities of people, ownership of specific objects, the nature of different “zones” in a workspace (e.g., private office versus conference room).

Abstract: A method is provided, wherein the method comprises identifying nearby wireless communication access points (APs) to which a client computing environment can cooperate with to communicate and receive data through a subscription to a neighborcast group from indentified nearby cooperating access points such that illustratively the neighborcast group comprises a communications overlay between cooperating client computing environments employing the identified nearby wireless communications access points.