Patent application number | Description | Published |
20090059803 | HIGH RESILIENCY NETWORK INTRASTRUCTURE - A resilient interface architecture may include at least two interface switches and at least two interface routers. The at least two interface switches may provide connectivity between a subnetwork and a main network. If one of the switches fails, the connectivity otherwise provided by the failed interface switch may be provided by another one of the interface switches. Each interface router may be individually coupled to at least one interface switch. The interface routers may select a transmission path between the subnetwork and the main network through the interface switches. If one of the interface routers fails, the selection of transmission paths otherwise provided by the failed interface router may be provided by another one of the interface routers. | 03-05-2009 |
20110214019 | HIGH RESILIENCY NETWORK INFRASTRUCTURE - The invention provides a highly resilient network infrastructure that provides connectivity between a main network such as the Internet and a subnetwork such as a server-based (e.g., web server) local area network. In accordance with the invention, a network interface incorporated into a server hosting center provides a resilient architecture that achieves redundancy in each of three different layers of the Open System Interconnect (OSI) stack protocol (i.e., physical interface, data link, and network layers). For every network device that is active as a primary communication tool for a group of subnetworks, the same device is a backup for another group of subnetworks. Based on the same connection-oriented switching technology (e.g., asynchronous transfer mode (ATM)) found in high-speed, broadband Internet backbones such as that provided by InternetMCI, the network interface architecture provides a high degree of resiliency, reliability and scalability. In accordance with the invention, interface network routers which provide routing functionality and connectivity between the Internet backbone and the customer subnetworks are fully meshed with those deployed in the Internet backbone. Permanent virtual circuits (PVCs) providing a multitude of logical transmission paths between each hosting center router and every router in the Internet backbone, greatly reduces processing delays of data traffic through the infrastructure as only a single “hop” routing step is required between any external access point on the Internet backbone and a hosting center router. | 09-01-2011 |
Patent application number | Description | Published |
20100083121 | SYSTEM AND METHOD FOR EVALUATING MULTIPLE CONNECTIVITY OPTIONS - This present application relates to, among other things, novel techniques to evaluate and qualify multiple networking options. A device contains multiple network connectivity options, including but not limited to various wireless and wired technologies such as Wi-Fi, 3G, WiMAX, LTE, Ethernet, Bluetooth, UWB, WHDMI, etc. Each connectivity option can be evaluation and pre-qualified prior to the user selecting that mode of communication. This evaluation process takes into account both lower-layer information such as signal strength, bit error rates, SNR, interference, etc. but also network-layer information such as IP connectivity, and end-to-end path performance. | 04-01-2010 |
20100097956 | MULTI-INTERFACE MANAGEMENT CONFIGURATION METHOD AND GRAPHICAL USER INTERFACE FOR CONNECTION MANAGER - A terminal device includes interfaces that establish links to networks. The networks can be wired, wireless, and the like. The terminal device includes a connection manager that manages the network connections based on configured parameters. Based on the configuration parameters it may compare network performance of different links in the device and it may switch or connect to a link having the best connectivity. Parameters are set to configure the connection manager and how it operates. The parameters can be set via a graphical user interface by the user or alternatively by the operator administrator. | 04-22-2010 |
20100110921 | PRE-EVALUATION OF MULTIPLE NETWORK ACCESS POINTS - The present application describes, inter alia, novel techniques to perform pre-evaluations of multiple Wi-Fi Access Points (AP) and Access Networks (AN). A pre-evaluation determines whether or not an AP is connected to the Internet and measures the path performance that the AN, via that particular AP, can offer between the mobile device and a pre-specified Internet host. In addition, the invention also discloses methods to determine whether the AN requires a user to actively authenticate themselves through a redirect log-on page. | 05-06-2010 |
20110183678 | SYSTEM AND METHOD FOR RESOURCE ALLOCATION OF A LTE NETWORK INTEGRATED WITH FEMTOCELLS - A resource scheduling and power allocation technique is provided for a LTE radio network integrated with femtocells. The technique utilizes a tri-phase approach that includes a stochastic geometric model of an exemplary radio network that generates a channel attenuation matrix for each channel at each PRB. A resource scheduling and power allocation procedure determines a near optimal assignment of mobile user to PRBs based on the channel attenuations, potential data rates, and transmit power subject to maximizing the data rates in accordance with a fairness objective. A discrete-event simulation procedure simulates the end-to-end transmission of the data packets in a packet-switch network in accordance with the assignments to analyze the behavior of the overall network. | 07-28-2011 |
20120030150 | Hybrid Learning Component for Link State Routing Protocols - In a network that executes a link state routing protocol, a network node receives periodic disseminations of link state information from other network nodes. The link state information includes neighboring node identity and link cost metrics. The network node calculates the initial routing paths based on the received link state information by using a link state routing algorithm. It then adapts the calculated path based on both the current link state information and past link state information through a reinforcement learning process. The network node then selects a routing path to each destination node based on the adaptation and updates the routing table accordingly. | 02-02-2012 |