233 results about "Capacity management" patented technology

The present invention provides an approach for SAN forecasting in a heterogeneous environment. Specifically, under the present invention capacity data on the heterogeneous environment is gathered. Capacity management techniques will then be used to analyze the SAN utilization, identify growth trends and patterns. Proactively, plans are made to account for these changes. Thereafter, a Capacity Planning Margin (CPM) will be applied to the forecast to reflect actual customer usage. The CPM adjusted forecasts will then be reviewed. Then, the SAN environment can be monitored by comparing actual vs. planned and return to adjust the forecast accordingly.

The invention comprises management of programs and mega-programs with emphasis on project level and above in a hierarchy that enables aggregation of information navigating up, and breakdown of details navigating down the hierarchy. It provides the flexibility of combining real-time management of budget with multiple editions, on call, asset tracking and capacity management of people and non-people resources within the same structure, vendor management, and real-time cross-program interlinking of dependencies and business considerations. The invention enables invocation of each function at every node in the hierarchy and localizes the related information at the invoking source. The functions encompass management of action items, status reports, approvals, meetings/decision making, issues, risks, change management and attachments with built in workflows that enable interactive collaboration and action triggering within the system and across external systems through condition and threshold setting. The universal structure enables management of organization layers and project initiatives.

A method of root cause analysis in a virtual machine environment includes receiving a plurality of events from a system monitoring the virtualized environment. The events may include alarms or alerts, such as alarms or alerts associated with a resource reaching or exceeding a threshold. The capacity manager consumes these events and performs event correlation to produce a set of correlated events. The capacity manager performs a root cause analysis on the set of correlated events to identify one or more root causes. The capacity manager further performs an impact analysis to determine how the root cause impacts the system, such as other virtual machines, hosts or resource in the virtual environment. Based on the root cause and impact analysis, the capacity manager makes one or more recommendations to address issues with or to improve the operations and/or performance of the virtualized environment.

A network management system for a multi-layer network having multiple architectural or technological domains includes an inter-domain configuration manager arranged between a set of one or more network service management applications and a set of network element domain managers, each of the domain managers being associated with a particular domain of the multi-layer network. The configuration manager implements network service design and provisioning functions across the domains of the network in conjunction with stored connectivity information characterizing the multi-layer network. The network management system further includes an inter-domain fault manager and an inter-domain capacity manager, which provide respective fault management and transport capacity management functions across the domains of the multi-layer network. The inter-domain configuration manager, inter-domain fault manager and inter-domain capacity manager may be interfaced to the set of network service management applications and the set of network element domain managers through corresponding published Common Object Request Broker Architecture (CORBA) Application Programming Interfaces (APIs).

Management of the bandwidth capacity of tunnels through a network may be automated such that the network is adaptive to the stochastic nature of incoming traffic. An edge node in the network includes four main elements. Three of the elements, namely tunnel signaling, admission control and path selection, are derived from known technologies, generalized from their particular technologies and enhanced. With the addition of a fourth element, called capacity management, the four elements cooperate to accommodate the capacity needs of the traffic incoming to the network at the edge node. This accommodation is performed by estimating the traffic demand and dynamically adapting tunnels to the traffic demand.

A method comprises receiving, by a capacity management tool, a capacity management operation request that specifies a resource pool-level operation desired for managing capacity of a resource pool that services workloads. The capacity management tool determines, in response to the received request, one or more actions to perform in the resource pool for performing the requested capacity management operation in compliance with defined operational parameters of the workloads. The method further comprises performing the determined one or more actions for performing the requested capacity management operation.

A multitenant deployment includes a computing cluster that executes multiple containerized instances of a software application. Each containerized instance is associated with one or more datastores that can be assigned to different tenants. A registry store maintains a mapping between tenants and datastores, thereby allowing a registry manager to properly route tenant requests to the correct datastores. A capacity manager tracks tenant usage of datastores in the registry store and then scales computing resources for each tenant in proportion to usage. The capacity manager also migrates tenant resources in response to catastrophic failures or upgrades. In this fashion, the multitenant deployment can adapt a single-tenant software application for multi-tenancy in a manner that is both transparent and secure for the tenant.

An SOC target is a control target of a remaining capacity of an accumulation device having a characteristic that the internal loss increases in a low SOC region. The SOC target is set to a first value corresponding to a remaining capacity target upon reaching a predetermined point when the remaining travel distance up to a predetermined point where the accumulation device can be charged from outside has become shorter than a predetermined distance. Thus, the hybrid vehicle can perform EV travel by power consumption of the accumulation device. On the other hand, when the remaining travel distance is not smaller than the predetermined distance Dr, the SOC target is set to a second value in the SOC region where the loss of the accumulation device is smaller than the first value. Thus, it is possible to reduce the power consumption in the hybrid vehicle which performs such a remaining capacity management that the remaining capacity of the accumulation device upon arrival at a predetermined point is a predetermined value.

An approach for managing system capacity of a satellite communications system is disclosed. A satellite communications system provides communication services to a region. A terminal (101, 103) is located within the region and is configured to transmit and receive signals over a satellite (105) having a payload that processes the signals. The terminal (101, 103) has a predetermined profile that includes service class information and rate information. A hub (107) is configured to receive system capacity resource configuration data that reflect capacity requirements of a service provider and to determine partitioning of system capacity over the region based upon the system capacity resource configuration data. The hub (107) transmits configuration information to the payload of the satellite (105) according to the determined partitions. The terminal (101, 103) is configured to transmit a bandwidth request message to the payload. The payload selectively allocates bandwidth in response to the request message based upon the configuration information.

A multiple access, spread-spectrum communication system processes a plurality of information signals received by a Radio Carrier Station (RCS) over telecommunication lines for simultaneous transmission over a radio frequency (RF) channel as a code-division-multiplexed (CDM) signal to a group of Subscriber Units (SUs). The RCS receives a call request signal that corresponds to a telecommunication line information signal, and a user identification signal that identifies a user to receive the call. The RCS includes a plurality of Code Division Multiple Access (CDMA) modems, one of which provides a global pilot code signal. The modems provide message code signals synchronized to the global pilot signal. Each modem combines an information signal with a message code signal to provide a CDM processed signal. The RCS includes a system channel controller is coupled to receive a remote call. An RF transmitter is connected to all of the modems to combine the CDM processed signals with the global pilot code signal to generate a CDM signal. The RF transmitter also modulates a carrier signal with the CDM signal and transmits the modulated carrier signal through an RF communication channel to the SUs. Each SU includes a CDMA modem which is also synchronized to the global pilot signal. The CDMA modem despreads the CDM signal and provides a despread information signal to the user. The system includes a closed loop power control system for maintaining a minimum system transmit power level for the RCS and the SUs, and system capacity management for maintaining a maximum number of active SUs for improved system performance.

Capacity management includes: determining that a first set of one or more services configured to execute on a set of one or more existing virtual nodes requires additional hardware resources; releasing a set of one or more hardware resources from a second set of one or more services; grouping at least some of the released set of one or more hardware resources into a set of one or more newly grouped virtual nodes; and providing hardware resources to the first set of one or more services using at least the set of one or more newly grouped virtual nodes.

A system and method for providing an airline variable routed capacity management system. With the system and method, a user, at time of booking, identifies only the departure and arrival airports, the dates of departure and return flights, and the travel window, i.e. the amount of travel time the user is willing to endure to travel between the departure and arrival airports, or vice versa. At time of booking, there is no blocking of travel lanes since there is no reservation of seat assignments or flights but only the guarantee that the airline will provide some flight itinerary between the departure and arrival airports that meets the travel window on the departure and return dates. The particular flights or seat assignments are not identified and are not reserved. At some time prior to the departure date, the user may again access the system of the present invention to obtain a listing of flight itineraries that meet the travel window on the dates and between the cities identified by user at booking. Based on the listing of possible flight itineraries, a user may select one of the flight itineraries and then obtain their seat and flight assignments based on the flight itinerary selected.

Methods and systems are provided for developing a capacity management plan from performance and topology information relating to the implementation of a network service in a data network. The data network includes a group of network management functions and a computer database for storing forecast reports which include performance and topology information for implementing the network service. A capacity management function is utilized to define a capacity model for the presentation of the data relating to the implementation of the network service, retrieve the data from the computer database, create a capacity plan based on the forecast reports to manage capacity for the network service, and periodically review the capacity plan at predetermined intervals to analyze the accuracy of the forecast reports and determine whether to update the capacity plan.

The invention discloses a method and apparatus for managing the capacity of a cloud server. One embodiment of the method comprises the following steps: obtaining monitoring data of monitoring at least one index of a target cloud server; for each index, importing the monitoring data of the index into a pre-trained index prediction model to obtain an index prediction result corresponding to the index, wherein the index prediction model is used for characterizing a corresponding relation between the monitoring data and the index prediction result; and based on an index prediction peak, an index prediction valley value, a preset first peak threshold and a preset first valley threshold in the index prediction result of at least one index, executing a capacity expansion or capacity shrinkage operation on the target cloud server for the at least one index. The embodiment realizes the management of the capacity of the cloud server.

Methods and systems are presented for establishing communications in a wireless local area network involving obtaining at least one measurement of load for each of a plurality of access point (AP) devices, automatically selecting one of the plurality of AP devices as a selected AP device by taking into account the at least one measurement of load for each of the plurality of AP devices, and associating a station (STA) device with the selected AP device, wherein the selected AP device and the STA device are capable of communicating data within a wireless local area network. Also, at least one measurement of signal strength as measured at the STA device for each of the plurality of AP devices may be obtained, and automatic selection of one of the plurality of AP devices may further take into account the at least one measurement of signal strength for each AP device.

The invention discloses an intelligent optimized scheduling system for logistics. The system is composed of a basic data module, an intelligent scheduling module and a board management module. The basic data module consists of a line management unit, a vehicle type management unit, an address management unit, a car pooling rule unit, a scheme design unit, a transport capacity management unit, a data dictionary unit, and an area management unit. The intelligent scheduling module is used for realizing the complete intelligent scheduling function and is mainly responsible for order extraction and scheduling calculation, carrying out examination on a calculation result, carrying out proper arrangement after successful examination, and writing back to a TMS. The board management module mainly includes an arrangement checking unit and a TMS uploading instruction checking unit; the arrangement checking unit is used for realizing a function of real-time arrangement situation checking of a warehouse in the system; and the TMS uploading instruction checking unit is used for realizing a function of uploading instruction checking. According to the system, the inventory, manpower and transport costs can be lowered; the punctual delivery ratio can be improved; the profitable operation can be realized; and the competitive advantage can be obtained.

The invention relates to a CDN (Content Delivery Network) video buffer system, comprising a CDN management server, a content management platform, a plurality of buffer servers, a source server, a plurality of clients and a database server. The invention also relates to a CDN video buffer method which obtains the times of film sources being visited by clients in a certain period in real time from the plurality of buffer servers, and only when the times of being visited reach a threshold value can the film sources being buffered in the buffer servers. In addition, the system comprises performing priority annotation on each film source in the system, buffering film sources with high priorities into the buffer servers, and deleting film sources with low priorities when the capacities of the buffer servers are full. The CDN video buffer system and method optimize buffer capacity management, avoid frequent buffer replacement and bandwidth waste, and are widely applied to the fields of video click or live video, and network video monitoring.

The problems associated with prior solutions for implementing ATM or IP/MPLS in a large-scale network are overcome by providing an efficient means by which capacity in the network is more fully shared without adversely affecting call or session setup latency, and at the same time simplifying network operations. This is achieved by performing the functions of route setup, route allocation, and capacity management in a network at the edges (e.g., the interfaces existing between each ATM switch or IP/MPLS router and customers) of the network. In accordance with the principles disclosed herein, the edges contain nodes that form the interface between the ATM switches and IP/MPLS routers and the link(s) that interconnect them and the outside world. These nodes comprise controllers and other apparatus that in some cases may be incorporated in, or connected as adjuncts to, the ATM switches or IP/MPLS routers.

A network capacity management system and method are disclosed. The system (10) includes a first data repository (20) encoding topology definition data, the topology definition data comprising data on topology elements of a network and including data on capacity of a respective topology element, a second data repository (30) encoding service consumption data, the service consumption data comprising data on service elements associated with a network and including data on capacity requirements associated with a respective service element, a network definition component (40) operable generate a network definition from the topology definition data and the service consumption data, the network definition encoding capacity criteria determined from said data on capacity of the respective topology elements and from data on capacity requirements of the respective service elements and an optimisation component (50) operable to process said network definition in dependence on one or more predetermined optimisation criteria to optimise said network definition based on said optimisation criteria and on said capacity criteria.

The invention relates to a method for controlling distributed power resources of active power distribution networks. The method is characterized in that unified dispatching and partition controlling effects are realized by the method, and the method includes steps of (1), determining a power coordination control scheme for the power distribution networks; (2), determining power coordination control objectives of the power distribution networks; (3), judging whether a power coordination control target is a peak load shifting control objective or not; (4), implementing the peak load shifting control objective; (5), implementing a protocol load curve operation control objective. The control objectives include the protocol load curve operation control objective and the peak load shifting control objective. The method has the advantages that a resource coordination control mode for the active power distribution networks is provided by the method and conforms to principles of 'unified dispatching and hierarchical control' of the traditional power transmission-distribution networks, and the power coordination control scheme is provided for establishing a distributed power capacity management system and is suitable for regions, micro-grids and tie lines.

Dynamically upsizing and/or downsizing a network farm in response to network demand. An application message router routes messages to the network farm. When the network farm approaches or is anticipated to be approaching capacity, a group of one or more servers may be added to the network farm. When the added server(s) are capable of participating in the network farm, the application message router is triggered to route also to the added servers. When the network farm has excess capacity, a group of one or more servers may be dropped from the network farm. This may be accomplished by triggering the application message router to no longer route messages to the removed servers. The removed servers may be either immediately or gracefully removed from service.