158 results about "Autonomic computing" patented technology

A technique for determining a root cause of a condition (e.g., service outage) of at least one subject component in a computing environment comprises the following steps/operations. First, one or more components in the computing environment upon which the at least one subject component depends (e.g., antecedents) are identified. Identification comprises traversing at least a portion of a model representative of an existence of one or more relationships associated with at least a portion of components of the computing environment and which is capable of accounting for a full lifecycle (e.g., including deployment, installation and runtime) associated with at least one component of the computing environment. Then, one or more procedures are performed in accordance with the one or more identified components to determine a condition status associated with each of the one or more identified components. By way of example, the inventive techniques may be applied to a distributed computing environment. The computing environment may also be an autonomic computing environment.

A technique for generating a topology associated with a computing environment comprises the following steps/operations. First, components in the computing environment and their dependencies are identified. Identification comprises computing and traversing at least a portion of a model representative of an existence of one or more relationships associated with at least a portion of the components of the computing environment and which is capable of accounting for a full lifecycle (e.g., including deployment, installation and runtime) associated with at least one component of the computing environment. Then, the one or more identified components are presented in a topological representation based on the one or more relationships associated with the one or more identified components. The topological representation comprises a functional plane, a structural plane and an operational plane respectively corresponding to at least a portion of a functional categorization, a structural categorization and an operational categorization of the model. By way of example, the inventive techniques may be applied to a distributed computing environment. The computing environment may also be an autonomic computing environment.

A technique for determining an impact of a condition (e.g., service outage) of at least one subject component in a computing environment comprises the following steps/operations. First, one or more components in the computing environment which depend on the at least one subject component (e.g., dependents) are identified. Identification comprises traversing at least a portion of a model representative of an existence of one or more relationships associated with at least a portion of components of the computing environment and which is capable of accounting for a full lifecycle (e.g., including deployment, installation and runtime) associated with at least one component of the computing environment. Then, one or more procedures are performed in accordance with the one or more identified components to determine a condition status associated with each of the one or more identified components. By way of example, the inventive techniques may be applied to a distributed computing environment. The computing environment may also be an autonomic computing environment.

The invention discloses a CBTC (communication-based train control) system based on train-train communication. The CBTC system comprises an intelligent train monitoring ITS system, an object controller, a train management platform TMC, a data communication system DCS and an intelligent vehicle-mounted controller IVOC arranged on every train. The CBTC system disclosed in the invention can reduce the ground device and cancel the ground ATP, interlocking and other devices; the IVOC can autonomously calculate the movement license and plan the driving path through information interaction with the IVOC, OC and ITS systems of front and back trains; the ITS system can automatically generate the train running control information based on the site condition to lighten the work load of an operation dispatcher, and promote the operation efficiency and service level, and send to the IVOC; The TMC acquires the limiting-velocity information of the line and sends to every train on the line, thus the safe protection of the train is realized.

The invention discloses an automatic computing system and a method for virtual networking and relates to three fundamental inventions in the field of automatic computing. The three fundamental inventions comprise a system and a method for an automatic multi-circular supervisor, a system and a method for a preemptive contact point (i.e., a preemptive sensor and an effector) and a system and a method for hardware resource software (e.g., hardware function abstraction and virtualization). The invention discloses business delivery virtual networking in a distributed type network field, a system and a method of application assurance and an invention which combines the inventions in the above two fields, i.e., automatic computing virtual networking. The automatic computing virtual networking is a system and a method capable of enabling the computing of the virtual networking which provides the business delivery to achieve an nth layer autonomic computing reference architecture (ACRA) frame.

A method, computer program product, and data processing system for recognizing, tracing, diagnosing, and repairing problems in an autonomic computing system is disclosed. Rules and courses of actions to follow in logging data, in diagnosing faults (or threats of faults), and in treating faults (or threats of faults) are formulated using an adaptive inference and action system. The adaptive inference and action system includes techniques for conflict resolution that generate, prioritize, modify, and remove rules based on environment-specific information, accumulated time-sensitive data, actions taken, and the effectiveness of those actions. Thus, the present invention enables a dynamic, autonomic computing system to formulate its own strategy for self-administration, even in the face of changes in the configuration of the system.

A network adapter is provided that controls the transfer of data between a host computer and a network medium in a manner which optimizes the amount of data transferred between the host computer and the buffer of the network adapter during a contemporaneous transfer of data between the network medium and the buffer. The network adapter optimizes the data transfer by dynamically determining when to make a bus request such that the buffer is capable of transferring a data packet of a particular target burst size at the end of an estimated latency period. The network adapter includes a buffer memory that transfers data between the host computer and the network medium and a buffer control logic that generates a first buffer data signal in response to the amount of data in the buffer memory. The adapter further includes a bus control logic that generates a second buffer data signal in response to previous transfers of data between the host computer and the network medium, and a dynamic bus request logic that asserts a bus request signal at a time responsive to the first and second buffer data signals to initiate an optimized data transfer between the host computer and the buffer memory during a contemporaneous transfer of data between the buffer memory and the network medium. In one instance, the target burst size is equal to the maximum amount of data transferred between the host computer and the buffer in a single transaction since the host computer has been powered on. Further, in one instance the estimated latency is set as the latency of the previous data transfer between the buffer and the host computer.

Disclosed is an improved method and system for implementing DBMS server performance optimization. According to some approaches, the method and system incorporates DBMS wizards recommendations with analytical queuing network models for purpose of evaluating different alternatives and selecting the optimum performance management solution with a set of expectations, enhancing autonomic computing by generating periodic control measures which include recommendation to add or remove indexes and materialized views, change the level of concurrency, workloads priorities, improving the balance of the resource utilization, which provides a framework for a continuous process of the workload management by means of measuring the difference between the actual results and expected, understanding the cause of the difference, finding a new corrective solution and setting new expectations.

A storage control apparatus according to the present invention includes a plurality of connecting units connected to one or more host computers and one or more hard disk drives as storage media for storing data, one or more non-volatile storage media which are of a different type from the hard disk drives and which store data WRITE requested from the host computer, a plurality of processing units for processing WRITE and READ requests from the host computer by using the hard disk drives or the non-volatile storage media and, a plurality of memory units for storing control information to be by the processing units.

A crosspoint switch includes a large number of ports and a separate pass transistor linking each possible pair of ports. When a pass transistor is turned on or off, it makes or breaks a signal path between the pair of ports it links. Each port can process signals passing through the port in any one of several operating modes, with a current operating mode being selected by input mode control data. The crosspoint switch also includes a random access memory (RAM) having a separate addressable storage location corresponding to each port. Each RAM storage location stores routing data for controlling the pass transistors connected to a corresponding port and also stores mode control data controlling the mode of the corresponding port. A memory controller responds to a parallel command from a host computer by concurrently writing routing and mode control data to two storage location of the RAM, thereby quickly making and/or breaking a signal path between two ports and selecting the operating mode of both ports.

The invention discloses an intelligent vehicle navigation system based on perception and autonomous calculation positioning navigation, and the system comprises an information storage module, a motor drive module, a positioning module, a perception module and an interaction communication module, wherein the information storage module, the motor drive module, the positioning module, the perception module and the interaction communication module are respectively connected with a central processor. The central processor, the drive module and the positioning module are used for achieving the positioning navigation and movement of an intelligent vehicle, and the perception module is used for achieving the stable control of the intelligent vehicle. The interaction communication module is used for achieving man-machine interaction. The navigation process comprises the steps: obtaining a generalized electronic map; obtaining initial position information of the vehicle and carrying out the positioning correction; obtaining the current position coordinates of the vehicle and target coordinates; and dynamically planning a driving path. According to the invention, the independent perception and feedback control of wheels are employed for the path of a local region and the control optimization, and the overall path planning and navigation are still implemented through a path planning algorithm. The system can monitor and distribute tasks in real time through a cellphone or tablet PC and a wireless network, and achieves the visualization and the real-time control.

An autonomic computing system and method determine policy definitions (404) and a set of available actions (410); monitor resources distributed within the system; determine if the system is at a desired end state; and modify resource states by sending instructions for the resources to perform available actions. The policy definitions (404) specify: start order between resources, prioritization between resources, conditional activation of policies, desired end state of resources, and location limitation of resources. The system and method receive status information from available resources, and monitor and modify the system until it reaches the desired end state. The policy definitions (404) can be determined by specifying a user-defined system end state and resource relationships. The policy definitions (404) can further harvest implicit relationships between resources, via self-discovery, and underlying relationships among resources.

Described is a system and method by which an auxiliary computing device having an auxiliary display platform that displays information corresponding to data that originated on the main computer system may be extended by a device manufacturer. Extended hardware is added to the device, such as a radio receiver and/or an audio decoder. The auxiliary display platform is layered and extensible at each layer, and includes an extensible hardware abstraction layer that is extensible to support extended hardware if needed, and a driver layer that is extensible by adding driver code for the extended hardware. A runtime layer is also extensible to support the extended hardware as needed, as are libraries, the auxiliary shell program and other managed code. The client API is also extensible to allow applications on the main computer system to communicate with extended hardware via the device runtime layer.

An autonomic computing environment is provided by sequestering one of a plurality of processor resources, partitioning a memory, and hiding an input/output (I/O) device. One processor resource is sequestered such that the sequestered processor resource is not exposed to the remaining processor resources as a processor resource. A memory region is partitioned to provide a service processing portion such that the sequestered processor resource has access to all of the memory region and the remaining processor resources have access to at least a portion of the memory region but do not have access to the service processing portion. A first I/O device is hidden such that the sequestered processor resource has access to the first I/O device and the remaining processor resources do not have access to the first I/O device.

A system and apparatus for noticing and creating relational settings, actions, profiles, and tasks by tying resources to a location based on user behavior.

The invention discloses a full-automatic driving simplifying method and system for track traffic. The system comprises a center-level integrated dispatching and automation control center, a station-level integrated dispatching and automation control sub-center, a wireless management distributed control system (DCS), a database storage unit (DSU), an object controller (OC) and a vehicle on board controller (VOBC). According to the invention, under the condition of meeting the functions of a traditional full-automatic driving subway system, ground devices are simplified, a ground ATP, interlocking devices and the like are canceled, a train autonomously computes the movement authority according to an operation plan, line resource conditions and a self-operation state, and thus autonomous safe operation control of the train on lines can be ensured; on the basis of ensuring front and rear safe distances of the train, two adjacent moving block regions can simultaneously advance at a very small interval, so that the train can operate at an allowed maximum speed and smaller interval, and the operation efficiency can be improved; and the construction cost and maintenance cost can be lowered, intermediate links can be reduced, properties can be improved, the complexity can be reduced, and the reliability can be improved.

The present invention discloses a method, system and article of manufacture for autonomic identification of an optimum hardware configuration for a Web infrastructure. A plurality of performance objectives and a plurality of best practice rules for the Web infrastructure are established first. Then, a search space and a current configuration performance index within the search space are established. Next, a database of available hardware models is searched for a best-fit configuration based on the established plurality of best practice rules and the established current configuration performance index. The performance data of the found best-fit configuration is calculated using a performance simulator and then compared to the established plurality of performance objectives. If the calculated performance data meet the established plurality of performance objectives, then the best-fit configuration is designated as the optimum hardware configuration. Otherwise, the search space is narrowed and searching is continued until such optimum hardware configuration is found.