The present disclosure relates to a communication scheme and system for combining an IoT technology with a 5G communication system for supporting a higher data transfer rate beyond a 4G system. The present disclosure may be applied to intelligent services (e.g. smart home, smart building, smart city, smart car or connected car, health care, digital education, retail, and security and safety services) on the basis of a 5G communication technology and an IoT-related technology. The present disclosure provides a method and an apparatus for supporting compression and decompression of an Ethernet header.

A receiving terminal includes: a receiver configured to receive a data unit configured by data and a header, from the transmitting terminal in the D2D communication; and a controller configured to hold the data unit including a compressed header for a predetermined period even if decoding the compressed header is failed when the compressed header is used as the header. In the D2D communication, a timing at which a receiving entity is formed in the receiving terminal differs from a timing at which a transmitting entity is formed in the transmitting terminal.

A system for providing a representational state transfer interface over a low-bandwidth medium, comprising a first processor configured to operate using one or more algorithms to provide a hardware management function, the first processor further comprising a data compression algorithm configured to compress message data for transmission over a low-bandwidth wireless medium. A second processor configured to operate using one or more algorithms to respond to queries from the hardware management function of the first processor, the second processor further comprising a data decompression system, wherein the second processor is further configured to operate using one or more algorithms to authenticate a user, and the first processor is further configured to operate using one or more algorithms to provide access to the user.

A method is provided to enhance efficiency of sensor event data transmission over network. Specifically, a method is described to buffer a set of sensor data, to group one or more of the set of sensor data having a same type for batch processing. The batch processing includes compressing and securing operations on the grouped sensor data, and restore the original message sequence of the grouped sensor data.

A system, method and computer program product for cloud computing, including a cloud server including a cloud link module or program and coupled to a communications network; a client device including a device link module or program and coupled to the cloud server via the communications network; and a memory card including a card link module or program and coupled to the client device. The cloud link, client link, and card link modules or programs are configured to allocate processing of content between the cloud server, client device and memory card, such that communications bandwidth usage between the cloud server and the client device are minimized during content delivery.

A near end network optimizer receives, from a client device, a request for a network resource. Responsive to determining that a version of the network resource is stored in the near end network optimizer, a request for the network resource is transmitted to a far end network optimizer along with a version identifier that identifies that version. The near end network optimizer receives, from the far end network optimizer, a response that includes a differences file that specifies the difference(s) between the version of the network resource stored in the near end network optimizer with a most current version of the network resource. The response does not include the entire network resource. The near end network optimizer applies the specified difference(s) to the version that it has stored to generate an updated version of the network resource, and transmits the updated version of the network resource to the client device.

A method is provided to enhance efficiency of sensor event data transmission over network. Specifically, a method is described to buffer a set of sensor data, to group one or more of the set of sensor data having a same type for batch processing. The batch processing includes compressing and securing operations on the grouped sensor data and restoring the original message sequence of the grouped sensor data.

A method is provided to enhance efficiency of sensor event data transmission over network. Specifically, a method is described to buffer a set of sensor data, to group one or more of the set of sensor data having a same type for batch processing. The batch processing includes compressing and securing operations on the grouped sensor data and restoring the original message sequence of the grouped sensor data.

Disclosed is a system and methods for data compression and decompression. The systems and methods discussed herein include an encoder, dictionary, decoder, literal string and control output. The discussed systems and methods encode data transmitted over a communications channel through the use of a dynamically compiled dictionary. Upon reviewing the characters within the transmitted data in view of the dictionary, an encoded/compressed output string is created. Such output string may also be decoded in a similar fashion via a dynamically compiled dictionary.

Techniques to manage platform migrations are described. In one embodiment, for example, an apparatus may comprise an interface component, a bundle component, and an execution component. The interface component may be operative to receive a command from a client, the command comprising a bundle identifier for the client. The bundle component may be operative to determine a bundle of platform migrations associated with the client based on the bundle identifier. The execution component may be operative to execute the command on behalf of the client based on the bundle of platform migrations. Other embodiments are described and claimed.