Abstract: Techniques are disclosed for cross-cloud hybrid services upgradability. In one embodiment, a virtual network operations center (NOC) with a centralized view of distributed, cross-cloud hybridity manager installations is responsible for continuously gathering information on the environments of on-premise and cloud computing systems, analyzing the gathered information to identify upgrades to hybridity manager instances that are compatible with dependent components and paired hybridity manager(s), and publishing notifications of compatible upgrades to the hybridity manager instances based on the analysis. The publishing of upgrade notifications by the virtual NOC is a server-initiated upgrade that is coordinated across hybrid cloud computing system sites, in contrast to traditional isolated client-initiated upgrades. In addition, the virtual NOC may revoke previous notifications if the associated upgrade versions are no longer compatible with the dependent components and/or the paired hybridity managers.

Abstract: Techniques disclosed herein manage and resolve incidents in hybridity manager applications, without the back-and-forth manual steps of the traditional software support lifecycle. In one embodiment, a virtual network operations center (NOC) with a centralized view of distributed, cross-cloud hybridity manager installations is responsible for tracking incident reports relating to hybridity managers and associated bugs, and the virtual NOC automatically publishes notifications of upgrade builds that fix the tracked bugs to the appropriate hybridity managers. When the same bug is encountered again with another hybridity manager instance, the virtual NOC may also publish an upgrade notification to the other hybridity manager instance, without requiring a support ticket to be filed, etc.

Abstract: A source device can transmit initial streaming content to a playback device (e.g., wireless ear buds) using first settings and measure playback performance of the content at a plurality of times. The measured performance values can relate to a quality of communication of the initial streaming content between the source device and the playback device, e.g., relating to packet loss, retransmission rates and patterns, fluctuations in a playback (jitter) buffer, and/or other values. The measured performance values can be used to determine one or more second settings to be used for a playback of subsequent streaming content between the source device and the playback device. In this manner, each source device can account for variations in communication behavior specific to a user (e.g., due to differences in body type as electromagnetic waves travel through the body when a source device is in a pocket).

Abstract: A source device executing the application can transmit the streaming content to the playback device. The size of the buffer can be changed during the playback of streaming content. To perform the change seamlessly, embodiments can cause the application to provide the streaming content at an increased or decreased rate, depending on how the size of the playback buffer is to be changed. The new buffer size (i.e., smaller or larger amount) can provide improved playback of the streaming content, e.g., based on a latency-reliability tradeoff as determined using various factors (e.g., quality of connection between the devices). The changed rate for providing the streaming content can be achieved by slowing down or speeding up a clock signal that is provided to the application.

Abstract: A hybrid cloud computing system having a private data center and a public cloud computing system is discussed. The private data center is managed by a first organization. The public cloud computing system is managed by a second organization, and the first organization is a tenant in the public cloud computing system. The hybrid cloud computing system is configured to generate a mapping that contextualizes virtual objects migrated between the private data center and the public cloud computing system based on the objects' location. Such a mapping is maintained to expose the true hybridity of the hybrid cloud rather than present two distinct views of a private data center (or private cloud) and a public cloud.

Abstract: A method for managing an application executing in a computing system is disclosed as including a private cloud operated by a first organization and a multi-tenant public cloud of which the first organization is one of the tenants. The method comprises instantiating a first virtual object in the private cloud and instantiating a second virtual object in the public cloud for executing the application cooperatively with the first virtual object. Mapping associated with the first virtual object is generated, wherein the mapping comprises a first identifier having a context of the private cloud and a second identifier having a context of the public cloud. The method further includes detecting migration of the first or second virtual object such that both of the first and second virtual objects are instantiated in a single one of the private and public clouds and updating the mapping to reflect the migration.

Abstract: Techniques for performing a fuzzy match of data from multiple sources are provided. In one technique, an email address of a sender of an email message is extracted from the email message. The email address is used to retrieve, from a first data source, first entity data about one or more entities, such as users. The first entity data is used to retrieve, from a second data source, second entity data about one or more entities. First data that pertains to the sender and that originates from the first data source is combined with second data that pertains to the sender and that originates from the second data source to generate sender data. The sender data is then presented via an email client that displays the email message.

Abstract: In an example embodiment, a web page is obtained using a web page address stored in a first record and is parsed to extract one or more images from the web page along with a first plurality of features for each of the one or more images from the web page. Information about each image of the web page and the extracted first plurality of features for the web page are input into a supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating the probability that the image is an organization logo. In response to a particular image in the web page having a logo confidence score transgressing a first threshold, the particular image is injected into an organization logo field of the first record.

Abstract: A host device communicating with a plurality of accessory devices transmits audio data packets via a broadcast channel to the plurality of accessory devices. When one of the plurality of accessory devices determines an audio data packet has not been received, the accessory device sends a negative-acknowledgement signal (NACK) via a unicast channel. The NACK indicates that the at least one of the accessory devices did not receive at least one audio data packet. The host device retransmits the at least one audio data packet indicated as not being received via the broadcast channel to the plurality of accessory devices. Other aspects are also described and claimed.

Abstract: In an example embodiment, a fuzzy join operation is performed by, for each pair of records, evaluating a first plurality of features for both records in the pair of records by calculating term frequency-inverse term frequency (TF-IDF) for each token of each field relevant to each feature and based on the calculated TF-IDF for each token of each field relevant to each feature, computing a similarity score based on the similarity function by adding a weight assigned to the TF-IDF for any token that appears in both records. Then a graph data structure is created, having a node for each record in the plurality of records and edges between each of the nodes, except, for each record pair having a similarity score that does not transgress a first threshold, causing no edge between the nodes for the record pair to appear in the graph data structure.

Abstract: A housing has a bud portion abutting an elongated stem portion. The bud portion is to fit within an ear. The bud portion has a primary sound outlet at its far end that is to be inserted into an outer ear canal, and abuts the stem portion at its near end. A speaker driver is inside the bud portion. Electronic circuitry inside the housing includes a wireless communications interface to receive audio content over-the-air and in response provides an audio signal to the speaker driver. A rechargeable battery as a power source for the electronic circuitry is located inside a cavity of the stem portion. Other embodiments are also described and claimed.

Abstract: The wireless earphone (1) comprises a housing (2) having a bud portion abutting an elongated stem portion. The bud portion is to fit within an ear. The bud portion has a primary sound outlet (5) at its far end that is to be inserted into an outer ear canal, and abuts the stem portion at its near end. A speaker driver (6) is inside the bud portion. Electronic circuitry (7,24) inside the housing (2) includes a wireless communications interface (4) to receive audio content over-the-air and in response provides an audio signal to the speaker driver. A rechargeable battery (3) as a power source for the electronic circuitry is located inside a cavity of the stem portion.

Abstract: In an example embodiment, a web page is obtained using a web page address stored in a first record and is parsed to extract one or more images from the web page along with a first plurality of features for each of the one or more images from the web page. Information about each image of the web page and the extracted first plurality of features for the web page are input into a supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating the probability that the image is an organization logo. In response to a particular image in the web page having a logo confidence score transgressing a first threshold, the particular image is injected into an organization logo field of the first record.

Abstract: In an example embodiment, a web page is obtained using a web page address stored in a first record and is parsed to extract one or more images from the web page along with a second plurality of features for each of the one or more images from the web page. Information about each image of the web page and the extracted second plurality of features for the web page are input into a supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating the probability that the image is an organization logo. In response to a particular image in the web page having a logo confidence score transgressing a first threshold, the particular image is injected into an organization logo field of the first record.

Abstract: Techniques for performing a fuzzy match of data from multiple sources are provided. In one technique, an email address of a sender of an email message is extracted from the email message. The email address is used to retrieve, from a first data source, first entity data about one or more entities, such as users. The first entity data is used to retrieve, from a second data source, second entity data about one or more entities. First data that pertains to the sender and that originates from the first data source is combined with second data that pertains to the sender and that originates from the second data source to generate sender data. The sender data is then presented via an email client that displays the email message.

Abstract: A method for managing an application executing in a computing system is disclosed as including a private cloud operated by a first organization and a multi-tenant public cloud of which the first organization is one of the tenants. The method comprises instantiating a first virtual object in the private cloud and instantiating a second virtual object in the public cloud for executing the application cooperatively with the first virtual object. Mapping associated with the first virtual object is generated, wherein the mapping comprises a first identifier having a context of the private cloud and a second identifier having a context of the public cloud. The method further includes detecting migration of the first or second virtual object such that both of the first and second virtual objects are instantiated in a single one of the private and public clouds and updating the mapping to reflect the migration.

Abstract: A hybrid cloud computing system having a private data center and a public cloud computing system is discussed. The private data center is managed by a first organization. The public cloud computing system is managed by a second organization, and the first organization is a tenant in the public cloud computing system. The hybrid cloud computing system is configured to generate a mapping that contextualizes virtual objects migrated between the private data center and the public cloud computing system based on the objects' location. Such a mapping is maintained to expose the true hybridity of the hybrid cloud rather than present two distinct views of a private data center (or private cloud) and a public cloud.

Abstract: A device may store a plurality of different coexistence profiles for different possible communication scenarios. The device may be initialized with a first one of the coexistence profiles, and may operate to dynamically switch to different ones of the coexistence profiles based on current conditions. Each coexistence profile may include a number of coexistence related parameters stored as a plurality of data structures. During device use, the device may dynamically select an appropriate coexistence profile based on the current communication conditions, such as Wi-Fi RSSI, Bluetooth RSSI, and/or the number of Wi-Fi and/or Bluetooth devices with which communication is currently occurring, among other possible factors. The coexistence profile is selected to provide the best possible Wi-Fi and/or Bluetooth output performance based on current conditions. The device may repeatedly dynamically select different coexistence profiles as conditions change, e.g.

Abstract: In an example embodiment, an organization name is retrieved from an organization name field of a first record. A web search is performed using the organization name, producing web search results. A second plurality of features is extracted for each web search result in the set of web search results. Each of the extracted second plurality of features for each web search result in the set of web search results is input into a supervised machine learning classifier to classify each of the web search results in the set of web search results as either containing an organization web address or not containing an organization web address. In response to a determination by the supervised machine learning classifier that a first web search result contains an organization web address, the organization web address from the first web search result is injected into an organization web address field of the first record.

Abstract: In an example embodiment, a fuzzy join operation is performed by, for each pair of records, evaluating a first plurality of features for both records in the pair of records by calculating term frequency-inverse term frequency (TF-IDF) for each token of each field relevant to each feature and based on the calculated TF-IDF for each token of each field relevant to each feature, computing a similarity score based on the similarity function by adding a weight assigned to the TF-IDF for any token that appears in both records.