H04L67/142

Extensible and elastic data management services engine external to a storage domain

A data management services architecture includes architectural components that run in both a storage and compute domains. The architectural components redirect storage requests from the storage domain to the compute domain, manage resources allocated from the compute domain, ensure compliance with a policy that governs resource consumption, deploy program code for data management services, dispatch service requests to deployed services, and monitor deployed services. The architectural components also include a service map to locate program code for data management services, and service instance information for monitoring deployed services and dispatching requests to deployed services. Since deployed services can be stateless or stateful, the services architecture also includes state data for the stateful services, with supporting resources that can expand or contract based on policy and/or service demand. The architectural components also include containers for the deployed services.

Extensible and elastic data management services engine external to a storage domain

A data management services architecture includes architectural components that run in both a storage and compute domains. The architectural components redirect storage requests from the storage domain to the compute domain, manage resources allocated from the compute domain, ensure compliance with a policy that governs resource consumption, deploy program code for data management services, dispatch service requests to deployed services, and monitor deployed services. The architectural components also include a service map to locate program code for data management services, and service instance information for monitoring deployed services and dispatching requests to deployed services. Since deployed services can be stateless or stateful, the services architecture also includes state data for the stateful services, with supporting resources that can expand or contract based on policy and/or service demand. The architectural components also include containers for the deployed services.

INFORMATION PROCESSING SYSTEM, SERVER, AND TERMINAL DEVICE
20180014295 · 2018-01-11 · ·

A system includes: a server; and a terminal. The server manages a first connection state indicating a state of connection with the terminal based on whether the connection with the terminal is determined as established, and performs deallocation or reuse of a server-side resource allocated by the server, based on whether the first connection state is synchronized with a second connection state managed in the terminal. The terminal repeatedly checks a connection with the server using the connection path including the at least part in which the wireless communication is performed, and manages the second connection state indicating a state of the connection with the server, based on whether the connection with the server is determined as established. The terminal performs deallocation or reuse of a terminal-side resource allocated by the terminal, based on whether the second connection state is synchronized with the first connection state.

SYSTEM PROVIDING FASTER AND MORE EFFICIENT DATA COMMUNICATION
20230007072 · 2023-01-05 ·

A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.

DEVICE MANAGEMENT SERVICES BASED ON RESTFUL MESSAGING
20230007089 · 2023-01-05 ·

Various systems and methods of establishing and utilizing device management (DM) services in Internet of Things (IoT) networks and similar distributed network architectures, are described. In an example, RESTful messaging within IoT operational and resource models are used to establish, instantiate, and operate DM services having various roles within an IoT framework abstraction.

DEVICE MANAGEMENT SERVICES BASED ON RESTFUL MESSAGING
20230007089 · 2023-01-05 ·

Various systems and methods of establishing and utilizing device management (DM) services in Internet of Things (IoT) networks and similar distributed network architectures, are described. In an example, RESTful messaging within IoT operational and resource models are used to establish, instantiate, and operate DM services having various roles within an IoT framework abstraction.

DATA PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

The present disclosure provides a data processing method and apparatus, an electronic device and a readable storage medium, and relates to the field of intelligent transportation technologies. The data processing method includes: acquiring a light-state data stream of a signal machine, the light-state data stream including a plurality of light-state data frames arranged in chronological order; determining a target light-state data frame in the light-state data stream and a target time of the target light-state data frame; acquiring a timing scheme of the signal machine; and generating, according to the timing scheme and the target light-state data frame, at least one light-state data frame at a time before and/or after the target time.

DATA PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

The present disclosure provides a data processing method and apparatus, an electronic device and a readable storage medium, and relates to the field of intelligent transportation technologies. The data processing method includes: acquiring a light-state data stream of a signal machine, the light-state data stream including a plurality of light-state data frames arranged in chronological order; determining a target light-state data frame in the light-state data stream and a target time of the target light-state data frame; acquiring a timing scheme of the signal machine; and generating, according to the timing scheme and the target light-state data frame, at least one light-state data frame at a time before and/or after the target time.

Methods for active-active stateful network service cluster
11570092 · 2023-01-31 · ·

For a managed network, some embodiments provide a method for a set of service nodes in an active-active service node cluster in conjunction with a host computer hosting a destination data compute node (DCN) to improve the efficiency of directing a data message to a service node storing state information for the flow to which the data message belongs. a first service node receives a data message in a particular data message flow for which it does not maintain state information. The first service node then identifies a second service node to process the data message and forwards the data message to the second service node. The second service node sends state information for the particular data message flow to the first service node, for the first service node to use to process subsequent data messages in the particular data message flow.

Methods for active-active stateful network service cluster
11570092 · 2023-01-31 · ·

For a managed network, some embodiments provide a method for a set of service nodes in an active-active service node cluster in conjunction with a host computer hosting a destination data compute node (DCN) to improve the efficiency of directing a data message to a service node storing state information for the flow to which the data message belongs. a first service node receives a data message in a particular data message flow for which it does not maintain state information. The first service node then identifies a second service node to process the data message and forwards the data message to the second service node. The second service node sends state information for the particular data message flow to the first service node, for the first service node to use to process subsequent data messages in the particular data message flow.