Abstract: A resource-allocation management method includes generating budget-allocation-plan information indicating how a budget used by each client for auction is allocated to each interval on the basis of demand-estimation information indicating an estimation value of the amount of resources each client needs for each interval and of budget-estimation information indicating an estimation value of a budget each client uses in an auction, and determining the upper limit of a budget each client uses in the auction on the basis of the budget-allocation-plan information.

Abstract: A resource-allocation management method includes generating budget-allocation-plan information indicating how a budget used by each client for auction is allocated to each interval on the basis of demand-estimation information indicating an estimation value of the amount of resources each client needs for each interval and of budget-estimation information indicating an estimation value of a budget each client uses in an auction, and determining the upper limit of a budget each client uses in the auction on the basis of the budget-allocation-plan information.

Abstract: In a resource plan creating apparatus and method, a resource plan is created based on a compatibility value between a task and computer hardware and a performance value acquired by an acquiring unit. An estimated load fluctuation value of each service tree is detected from an estimation waveform of load fluctuation of each service tree and an optimizing process is executed using the compatibility value and the estimation waveform of load fluctuation.

Abstract: In a resource plan creating apparatus, a compatibility value between a task and computer hardware is calculated by a compatibility value calculating unit based on a performance value acquired by an acquiring unit. An estimated load fluctuation value of each service tree is detected by a detecting unit from an estimation waveform of load fluctuation of each service tree. An optimizing process is executed by an optimizing unit using the compatibility value and the estimation waveform of load fluctuation and optimal solutions of a first objective function to a fourth objective function are obtained. An inter-type distribution ratio calculating process of different types of computer hardware is executed by an inter-type distribution ratio calculating unit. A resource plan creating process is executed by a resource plan creating unit.

Abstract: Every time a packet is received from a server, a communication performance measuring equipment transmits/receives a predetermined control packet to/from a client and a branching node, respectively, thereby collecting information about communication environment. Based on the information and a predetermined delay model, a delay time in delivering the same packet from the server to the client is estimated, and, according to the delay time, transmission timing of an acknowledge packet in response to the received packet is controlled. Thus, it is possible to accurately measure communication performance between an arbitrary client and an arbitrary server, no matter where the communication performance measuring equipment is physically arranged.

Abstract: A method to automatically allocate servers to network services in a data center in real time and without need for operators for a load sharing device is provided. In the method, fluctuations in quantity of requests arriving at the network services can be monitored, the value of the quantity of requests for a subsequent fixed time interval can be predicted and, in accordance with the magnitude of the predicted value of the quantity of requests, the quantity of servers allocated to the network services can be controlled. Here, where traffic of the quantity indicated by the predicted value of the quantity of requests arrives at the network services, the number of servers allocated to the network services can be set in such a way that the average response time to the user terminals is equivalent to a response time threshold value or less set in advance by the operations manager.

Abstract: A system comprises a front-stage center for directly receiving a request from a client through a network, and a back-stage center for receiving the request from the client through the front-stage center. The front-stage and back-stage centers have stand-by servers, respectively. The front-stage center provides a service using a normal server. When detecting that a load on the server increases, a first system control device provides a server for providing the service the load of which increases from the stand-by server commonly provided for a first service and a second service. If the load cannot be supported even by the provision of the server, the first system control device issues an instruction to a second system control device of the back-stage center to support the provision of the service. If the back-stage control device cannot support the load using a normal server, it supports the load using the stand-by server.

Abstract: Every time a packet is received from a server, a communication performance measuring equipment transmits/receives a predetermined control packet to/from a client and a branching node, respectively, thereby collecting information about communication environment. Based on the information and a predetermined delay model, a delay time in delivering the same packet from the server to the client is estimated, and, according to the delay time, transmission timing of an acknowledge packet in response to the received packet is controlled. Thus, it is possible to accurately measure communication performance between an arbitrary client and an arbitrary server, no matter where the communication performance measuring equipment is physically arranged.