Abstract: Contiguous data packets of a single communication session between endpoints are gathered for compression, and at least the payloads are compressed collectively via a single compressible buffer. The original headers, which may or may not be compressed, and the compressed payloads are transmitted from a sending packet compression device to a receiving packet compression device that performs decompression to the compressed payload and may also decompress headers if they have been compressed at the sending end. The original contiguous data packets including headers and payload may be reconstructed at the receiving packet compression device by matching the headers to the corresponding payloads. The reconstructed data packets are injected back into the single communication session, and the presence of the original headers in the reconstructed data packets may thereby maintain the endpoint-to-endpoint authentication protocols.

Abstract: Optimization of encrypted traffic flowing over a WAN is provided by an arrangement in which WAN compression is distributed between endpoints (i.e., client machines or servers) in a subnet of a hub and branch network and a WAN compression server in the subnet. A client portion of the WAN compression running on each of one or more endpoints interfaces with a disposable local cache of data seen by endpoints in the subnet that is used for compressing and decompressing traffic using dictionary-based compression techniques. The local WAN compression server in a subnet stores a shared central database of all the WAN traffic in the subnet which is used to populate local disposable caches in the endpoints.

Abstract: Optimization of encrypted traffic flowing over a WAN is provided by an arrangement in which WAN compression is distributed between endpoints (i.e., client machines or servers) in a subnet of a hub and branch network and a WAN compression server in the subnet. A client portion of the WAN compression running on each of one or more endpoints interfaces with a disposable local cache of data seen by endpoints in the subnet that is used for compressing and decompressing traffic using dictionary-based compression techniques. The local WAN compression server in a subnet stores a shared central database of all the WAN traffic in the subnet which is used to populate local disposable caches in the endpoints.

Abstract: Various embodiments provide context-sensitive advertising for content on a mobile device. In some embodiments, context information about a mobile device, a user of the device, and/or content to be consumed on the device is used to formulate an advertisement request. The advertisement request is submitted to an advertisement source, which gathers relevant advertisements that correspond to the context information. The relevant advertisements are provided to the mobile device, and one or more of the relevant advertisements are injected into content, by the mobile device, before the content is consumed by a user of the device. In some embodiments, an advertisement is marked with a sentinel marker when it is injected into content. When the content is to be sent from the device, the sentinel marker is detected and the marked advertisement is removed from the content before the content leaves the device.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Optimization of encrypted traffic flowing over a WAN is provided by an arrangement in which WAN compression is distributed between endpoints (i.e., client machines or servers) in a subnet of a hub and branch network and a WAN compression server in the subnet. A client portion of the WAN compression running on each of one or more endpoints interfaces with a disposable local cache of data seen by endpoints in the subnet that is used for compressing and decompressing traffic using dictionary-based compression techniques. The local WAN compression server in a subnet stores a shared central database of all the WAN traffic in the subnet which is used to populate local disposable caches in the endpoints.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Contiguous data packets of a single communication session between endpoints are gathered for compression, and at least the payloads are compressed collectively via a single compressible buffer. The original headers, which may or may not be compressed, and the compressed payloads are transmitted from a sending packet compression device to a receiving packet compression device that performs decompression to the compressed payload and may also decompress headers if they have been compressed at the sending end. The original contiguous data packets including headers and payload may be reconstructed at the receiving packet compression device by matching the headers to the corresponding payloads. The reconstructed data packets are injected back into the single communication session, and the presence of the original headers in the reconstructed data packets may thereby maintain the endpoint-to-endpoint authentication protocols.

Abstract: Otherwise network-transparent devices that are logically located between a client device and a service device are discovered by sending a probe packet that has a destination address of one of the client or service but that specifies a discovery network port such as a port of the transport layer. The otherwise network-transparent device receives the packet as it is traversing the hops between the client and service. The network-transparent device analyzes the network traffic passing through it to determine whether the destination port is the discovery network port and thereby recognizes the probe packet. The network-transparent device provides a return packet to the device that sent the probe packet, whereby the return packet provides the source address as the network address of the otherwise network-transparent device.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Abstract: A system and method for organizing and sorting targets received in a referral response and for realizing a target fail-back and a target priority policy in a distributed file system is provided. In one embodiment, a sorting method includes receiving a referral response in the form of a list of targets that are sorted into bounded sets. Having a sorted referral response in bounded sets provides a basis for implementing a target fail-back and a target priority policy. The computer system may select a target from a sorted list of targets sorted according to site-cost and/or target priority. Then, the computer system may determine if the set target is associated with a more preferred target when compared to all available targets in the sorted list and if not, switch back to a more preferred target.

Abstract: Various systems and methods described above permit a user's content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user's metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user's personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.