Backup fault tolerant computer system A parallel computer system which has a primary task processor, a second primary task processor, a secondary task processor acting as a backup for the second primary task processor transfers messages by: sending messages from the primary task processor to the second primary processor with the second primary task processor operating on the messages by initially storing a received message in a queue and thereafter reading the message from the queue for processing in accordance with the task associated therewith and accumulating a count of the messages read from its queue; and sending the same messages from the first primary task processor to the secondary task processor which stores the messages in a message queue for possible use if the second primary task processor fails. If a primary task processor fails after processing a given number of messages, the secondary task processor associated therewith starts processing the messages in its queue but after having discarded the first given number of messages. System and method for restoring failed communication services A system and method for restoring telephone and data communication services provided by a primary computing resource when such primary computing resource fails, by providing a backup computing resource and restoration software having means which uses a heartbeat and challenge protocol to detect such a failure and to restore such services. Complexity reduction system and method for integrated redundancy switchover systems A redundant system, such as a redundant-modem system, having a plurality of similar components capable of operating independently of each other. At least one of the components serves as a spare component. The system further includes a plurality of switches connected to the inputs and outputs of the components such that the inputs and outputs of each of the components may be rerouted through the component operating as the spare. When operating as a spare, a component monitors status information received from the other components and detects when one of the other components has failed. When one of the components has failed, the component acting as a spare controls the switches such that the spare component (20b) replaces the failed component. Method for dynamically changing load balance and computer A system and method which dynamically changes the load balance of assigned loads for each group in a sequence of processes from a first stage to an n-th stage in a computer having a plurality of processors, wherein the plurality of processors are grouped into at least two groups, comprises the steps of: detecting a change in a characteristic value in a queue for transferring a processing result between the groups; and changing the assignment of assigned processes for each group based on the change in the characteristic value. A characteristic value stored in a queue represents a value related to work load, and a queue seldom becomes full or empty if the load balance is changed referring to this characteristic value. Apparatus and method for building distributed fault-tolerant/high-availability computed applications Software architecture for developing distributed fault-tolerant systems independent of the underlying hardware architecture and operating system. Systems built using architecture components are scalable and allow a set of computer applications to operate in fault-tolerant/high-availability mode, distributed processing mode, or many possible combinations of distributed and fault-tolerant modes in the same system without any modification to the architecture components. The software architecture defines system components that are modular and address problems in present systems. The architecture uses a System Controller, which controls system activation, initial load distribution, fault recovery, load redistribution, and system topology, and implements system maintenance procedures. An Application Distributed Fault-Tolerant/High-Availability Support Module (ADSM) enables an applications( ) to operate in various distributed fault-tolerant modes. The System Controller uses ADSM's well-defined API to control the state of the application in these modes. The Router architecture component provides transparent communication between applications during fault recovery and topology changes. An Application Load Distribution Module (ALDM) component distributes incoming external events towards the distributed application. The architecture allows for a Load Manager, which monitors load on various copies of the application and maximizes the hardware usage by providing dynamic load balancing. The architecture also allows for a Fault Manager, which performs fault detection, fault location, and fault isolation, and uses the System Controller's API to initiate fault recovery. These architecture components can be used to achieve a variety of distributed processing high-availability system configurations, which results in a reduction of cost and development time. System and method for analyzing capacity in a plurality of processing systems A system and method for projecting capacity of computer resources for a plurality of processing systems in a processing environment and for adjusting workload among said systems to improve resource utilization. An administrative processor determines the projected usage of computer resources for a plurality of computer systems in a processing environment by representing the capacity of each of the plurality of computer systems in a normalized unit and by sorting the capacities of the computer systems by the normalized or standardized units. The standardized unit, optimally time as measured as the life expectancy of each different resource of the computer system, is used for the N-axes of the N-dimensional space called a capacity space. Each computer system is mapped to a point in the capacity space, which normalizes configuration and capacity differences between systems by expressing the usage of all resources in the units of time. Once the normalized values have been defined and sorted, the administrative processor can make adjustments to the workload among the plurality of processing systems to improve the utilization of the capacity of the greatest number of processing systems in the processing environment. Storage system The storage controlling apparatus has a function for setting each of a plurality of ports in a controller for the current controller or for the standby controller, so that one port is switched to the other in a controller in case an error occurs in a controller or in a port. When in a normal operation, both of the controllers can be operated so as to improve the performance of the apparatus. Allocation of sparing resources in a magnetoresistive solid-state storage device A magnetoresistive state-solid state storage device having arrays of magnetoresistive storage cells. Sparing resources such as a plurality of spare rows are allocated to replace rows of storage cells which are affected by physical failures. A count is made for the number of failed rows within each array, and a count is also made of the number of failed rows within a cross-array row set spread across plural arrays. A spare row or rows are allocated by selecting a cross-array row set affected by the highest number of failed rows and therefore most likely to lead to unreliable data storage, and then selecting an array in this cross-array row set having the lowest number of failed rows, and therefore the least competition for sparing resources. The method proceeds iteratively with counts updated as sparing resources are allocated. Managing power consumption based on utilization statistics The present invention, in various embodiments, provides techniques for managing system power. In one embodiment, system compute loads and/or system resources invoked by services running on the system consume power. To better manage power consumption, the spare capacity of a system resource is periodically measured, and if this spare capacity is outside a predefined range, then the resource operation is adjusted, e.g., the CPU speed is increased or decreased, so that the spare capacity is within the range. Further, the spare capacity is kept as close to zero as practical, and this spare capacity is determined based on the statistical distribution of a number of utilization values of the resources, which is also taken periodically. The spare capacity is also calculated based on considerations of the probability that the system resources are saturated. In one embodiment, to maintain the services required by a Service Level Agreement (SLA), a correlation between an SLA parameter and a resource utilization is determined. In addition to other factors and the correlation of the parameters, the spare capacity of the resource utilization is adjusted based on the spare capacity of the SLA parameter. Various embodiments include optimizing system performance before calculating system spare capacity, saving power for system groups or clusters, saving power for special conditions such as brown-out, high temperature, etc. System and method for interactively utilizing a user interface to manage device resources A system and method for interactively utilizing a user interface to manage device resources comprises at least one resource characterization that includes resource requirements for executing a requested process. An allocation manager may then compare the resource requirements for the requested process to the currently-available device resources. The allocation manager may then authorize or deny the requested process depending upon whether the currently-available resources are sufficient to adequately service the resource requirements of the requested process. An interface manager may provide relevant information from sources such as the resource characterization and the allocation manager to a user interface to thereby allow a system user to interactively manage device resources. Techniques for utilization of asymmetric secondary processing resources A processor having asymmetric secondary processing resources. One disclosed embodiment includes a first execution resource to perform a first function and a second execution resource that also performs the second function, although the second processing resource is asymmetric to the first resource in that it has a lower throughput than the first processing resource. Switching logic switches execution from the first processing resource to the second processing resource in a reduced power consumption mode. Managing system power based on utilization statistics The present invention, in various embodiments, provides techniques for managing system power. In one embodiment, system compute loads and/or system resources invoked by services running on the system consume power. To better manage power consumption, the spare capacity of a system resource is periodically measured, and if this spare capacity is outside a predefined range, then the resource operation is adjusted, e.g., the CPU speed is increased or decreased, so that the spare capacity is within the range. Further, the spare capacity is kept as close to zero as practical, and this spare capacity is determined based on the statistical distribution of a number of utilization values of the resources, which is also taken periodically. The spare capacity is also calculated based on considerations of the probability that the system resources are saturated. In one embodiment, to maintain the services required by a Service Level Agreement (SLA), a correlation between an SLA parameter and a resource utilization is determined. In addition to other factors and the correlation of the parameters, the spare capacity of the resource utilization is adjusted based on the spare capacity of the SLA parameter. Various embodiments include optimizing system performance before calculating system spare capacity, saving power for system groups or clusters, saving power for special conditions such as brown-out, high temperature, etc.