67 results about "Queuing network" patented technology

An invention for creating, sending, and using self-descriptive objects as messages over a network is disclosed. In an embodiment of the present invention, self-descriptive persistent dictionary objects are serialized and sent as messages across a message queuing network. The receiving messaging system unserializes the message object, and passes the object to the destination application. The application then queries or enumerates message elements from the instantiated persistent dictionary, and performs the programmed response. Using these self-descriptive objects as messages, the sending and receiving applications no longer rely on an a priori convention or a special-coding serialization scheme. Rather, messaging applications can communicate arbitrary objects in a standard way with no prior agreement as to the nature and semantics of message contents.

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.

The invention discloses a goods location allocating method applied to an automatic warehousing system of a multi-layer shuttle vehicle. The method comprises the following steps: firstly, according to the quantities of goods shelves and tunnels, generating plane layout structure data of the system; then analyzing the waiting time of the shuttle vehicle executing an outbound task as well as the idle time of a hoister; establishing an open queuing network model for describing the system; analyzing the relationship among the waiting time of the shuttle vehicle, the idle time of the hoister and the time of inbound and outbound works by a decomposition process; determining that the higher the reaching rate of a task serviced by the shuttle vehicle is, the lower the goods location of the task is, and the goods with highest correlation are allocated at different layers, so that multiple shuttle vehicles can provide service simultaneously; finally putting forward a principle of dividing storage zones in light of item correlation, establishing a correlation matrix of outbound items, clustering the items by an ant colony algorithm, and combining and arranging the storage zones in a two-dimensional plane according to the analysis result of the queuing network model, thereby realizing the allocation of goods location. By the method, the waiting time of the shuttle vehicle and the idle time of the hoister can be effectively shortened, so that the rate of equipment utilization and the throughput capacity of a distribution center are increased.

A queueing network framework for processing messages in stages in a multi-processor environment. An event source generates work packets that have information relating to the messages to be processed. The work packets are queued before processing by a plurality of application services. Each application service follows a queue and defines a processing stage. At each processing stage, the application service operates on a batch of the work packets queued for it by the respective queue.

The invention discloses a multilayer shuttling car warehousing conveying system based on a warehousing robot and a conveying method. The system comprises a stereoscopic warehouse for storing goods, the warehousing robot for transporting the goods, and a warehousing intelligent control system for realizing the goods storage control. An open-loop queuing network model is built to analyze performances of the system, to analyze equipment factors of influencing the order aging, to calculate the order service time, the waiting time of the warehousing robot and the utilization rate of the warehousingrobot and to analyze the order arrival rate and the number sensitivity of the warehousing robot; and when the storage capacity is higher, the order arrival rate is higher or the change amplitude is higher, and the advantages of the multilayer shuttling car warehousing conveying system based on the warehousing robot are more obvious.

Performance prediction systems and method of an Internet of Things (IoT) platform and applications includes obtaining input(s) comprising one of (i) user requests and (ii) sensor observations from sensor(s); invoking Application Programming Interface (APIs) of the platform based on input(s); identifying open flow (OF) and closed flow (CF) requests of system(s) connected to the platform; identifying workload characteristics of the OF and CF requests to obtain segregated OF and segregated CF requests, and a combination of open and closed flow requests; executing performance tests with the APIs based on the workload characteristics; measuring resource utilization of the system(s) and computing service demands of resource(s) from measured utilization, and user requests processed by the platform per unit time; executing the performance tests with the invoked APIs based on volume of workload characteristics pertaining to the application(s); and predicting, using queuing network, performance of the application(s) for the volume of workload characteristics.

The invention discloses a heterogeneous real-time queuing machine system, devices of the system and a remote queuing reservation method. The heterogeneous real-time queuing machine system comprises a queuing machine with a client side, and a server in network connection with the queuing machine. According to a user-sent request of querying the specified service type of the target queuing machine in a specified area, the server searches out the address of the target queuing machine and the current queuing information of a specified service type, and the address and the current queuing information of a second queuing machine which provides services same as or similar to services of the target queuing machine in the specified region and currently has the least amount of people queuing for the corresponding service type, and feeds back the searched information to the user. The system is formed by upgrading the existing queuing equipment of a service providing mechanism and organizing the upgraded queuing equipment into a network system, thus, the queuing time of people is saved, great convenience is provided for service transaction of people, and the load balance of the service resource is realized; and simultaneously, a queuing machine administrator can execute daily maintenance for the queuing machine remotely, and data support also can be provided for senior decision makers.

The invention discloses an expert system and a method which are applied to the blast furnace-converter sector production scheduling process control of steel enterprises. The expert system comprises a knowledge base, a control rule set, an inference engine and an information processing part, the operation experience of workers is integrated to carry out reasoning discrimination and make necessary decision to realize reasonable scheduling on the basis of a queuing theory method and a system and simulation theory. A computer is controlled by a programmable logic controller suitable for process control to reasonably design a batch-arrival closed type repairable queuing network system which is composed of stations in a blast furnace-converter sector and has multiple service counters in parallel-series connection. The control system has simpleness and strong adaptability, can directly influence productivity of related equipment and running cost of the system, can satisfy actual production requirement, can save capital and can be widely applied to blast furnace-converter sector production scheduling system control of large-scale integrated iron and steel works.

A generic queueing network model of a Web services environment is introduced. The behavior of a service is abstracted in three phases: serial, parallel and dormant, thus yielding a Serial Parallel Queueing Network (SPQN) model with a small number of parameters. A method is provided for estimated the parameters of the model that is based on stochastic approximation techniques for solving stochastic optimization problems. The parameter estimation method is shown to perform well in a noisy environment, where performance data is obtained through measurements or using approximate model simulations.

The invention provides an optimization method for a tree network topology structure based on a queuing theory and is sued for solving the optimization design problem of large-scale user node interconnection under limited resources and preset service. The method comprises the realization steps of presetting a basic tree network topology structure, a service model and a routing algorithm; establishing a queuing node model of a single basic switching module and a queuing network mode of a whole tree network; carrying out theoretical calculation and simulating calculation on the performance of the tree network topology structure; verifying the theoretical calculation accuracy and the reasonability of the queuing network model; and optimizing the tree network topology structure and parameters. According to the method, the queuing network model is established, the tree network is analyzed quantitatively, the influences of the service strength, the cache, the switching modules and the network topology structure on the network performance are taken into consideration, and the method is applicable to the establishment of the optimum tree network topology structure under preset service demands.

A system for estimating a traffic rate of calls in system environments providing wireless personal communication services on an open queuing network includes modules that have functions of making three sets of nodes, “log_off”, “log_on” and “active” according to the status of communication terminal equipment, observing the number of “log_on” and “active” terminals by minimum areas of each wireless personal communication service, and predicting traffic probability by minimum areas. More specifically, the present invention includes: a traffic parameter observation module for making a set of nodes and collecting observations measured in real time on the respective nodes; a regression analysis module for performing a regression analysis of the observations to assume a prediction model for traffic rates of calls and to estimate the traffic rates of internal-to-internal or external-to-internal calls; and a resource allocation control module for determining whether to allocate resources and how much of the resources to allocate according to the traffic rates of internal-to-internal or external-to-internal calls.

The invention discloses a method for analyzing performance of a multi-class closed fork-join queuing network based on horizontal decomposition. According to the method, each class of model including fork-join operation in the models is subjected to horizontal decomposition so that a computer can implement rapid and accurate analysis on the performance of the queuing network models to obtain analyzable parameters of actual system performance, thereby improving the efficiency of the computer in analyzing the system performance.

The invention discloses a cloud simulation task scheduling method based on a hybrid queuing network. The method includes calculating a resource quantity required by each of the plurality of cloud simulation tasks; Prioritizing the plurality of cloud simulation tasks according to the resource amount of each cloud simulation task; constructing A plurality of sub-queues, and allocating a plurality ofcloud simulation tasks to the plurality of sub-queues according to the request entry time of the plurality of cloud simulation tasks and the number of cloud simulation tasks that each sub-queue can bear, so as to provide an optimized cloud simulation task scheduling method and improve the processing efficiency of the cloud simulation tasks.

The invention provides a one-way vehicle sharing system scale optimization method based on a queuing theory, and relates to the technical field of planning and design of one-way vehicle sharing systems. A hybrid BCMP queuing network model is used for describing vehicle circulation in a one-way sharing system, realistic factors such as reservation strategies, road congestion and limited parking spaces are clearly introduced, and the asymptotic relationship between the system scale and the vehicle availability Vi and parking occupancy rate Ui is clear and incorporated into a joint optimization framework. Then a joint optimization problem of the system scale is proposed according to a profit maximization principle, and an optimal motorcade scale and parking station capacity meeting a given performance index are determined. According to the invention, the remaining capacity of a physical road is mapped to the number of servers of a queuing network to be clearly introduced into road congestion, and a parking station model is modeled as an interdependent open network to limit the capacity of a parking lot.