Resource Allocation TRIZ Cases

Predictive system uses timeseries telemetry to forecast hardware needs, enabling automated procurement and dedicated resource isolation for secure expansion.

A database memory leak detection system traces allocations and deallocations during query processing to identify un-deallocated addresses.

Central Performance Tracking Module gathers queue backlog and active count data to detect bottlenecks in service-oriented architectures.

A memory controller tracks per-application page usage to enforce quality of service policies across local and pooled memory resources.

A compute service manager issues quiesce notifications to redirect unscheduled jobs before shutdown.

Dynamic bandwidth allocation reduces latency for non-real time clients by temporarily reassigning resources from hard and soft real time clients.

A community manager coordinates computing clusters using tokens to establish secure borrower-lender relationships for function execution.

Local listings of object locations reduce computing power and bandwidth consumption by routing requests directly to nodes with available bandwidth.

Segmented peer counters eliminate centralized monitoring delays, enabling instances to autonomously adjust resources based on real-time demand thresholds.

A template-based system generates applications by automatically binding source data to visual layouts and selected storage locations.

A resource allocation control device determines hardware requirements using performance models to set precise allocations for distributed data stores.

A SaaS application remotely provisions on-premises composable infrastructure racks via encrypted network connectivity.

A synchronization method migrates threads to a single core for polling, powering down idle cores.

Dynamic partition reassignment detects delayed reduce processes and redistributes work to maintain throughput.

Primary device distributes compute tasks to secondary devices based on capability statistics.

Each host autonomously determines container placement using a gossip protocol, eliminating centralized coordination bottlenecks.

A control file write detector monitors updates to enable direct host access, eliminating separate message passing interfaces and reducing network overhead.

A control apparatus observes network topology and bandwidth to calculate optimal task offloading nodes across distributed edge and cloud servers.

A memory integrated management apparatus allocates high-performance DRAM and remote memory across cluster nodes to maximize virtual machine throughput.

Manager node selects compute nodes for container applications using orchestrator availability data.

Volunteer bidding matches workload with remote capabilities, eliminating round-robin inefficiencies and resource verification overhead.

A dynamic load balancer distributes video frame operations across hardware accelerators to optimize resource utilization.

A virtual private cluster duplicates local compute environments within on-demand centers to enable dynamic workload transfer.

Segmenting the single ring bus into two independent rings reduces traffic congestion and shortens transfer path lengths between processing units.

A start-VE instruction dispatches guest threads onto a single physical core using state descriptions.

A separation kernel hypervisor uses protection domains to isolate monitoring agents from guest operating systems.

A sharded database load distributor uses machine learning to route requests based on predicted shard locations.

A management processor allocates PCIe resources across domains by programming non-transparent bridges, resolving single-domain inefficiencies.

A fictitious computing node presents available resources to service execution jobs without regard to actual availability.

A hybrid rendering mode writes color data directly to system memory while storing depth values in fast graphics memory.

A system adjusts operation distribution across execution environments to maintain performance objectives.

A computing device management unit predicts future loads using CPU and memory metrics to allocate software components before overload occurs.

An optimization system modifies network function chain structures by annotating virtual functions with locality constraints to improve placement accuracy.

A virtual partition monitor assigns preferred CPUs based on NUMA topology to optimize memory access paths.

A graph-based technique propagates node values to predict entity results with high accuracy.

Monitoring deployed virtual machines determines optimal configurations, reducing resource fragmentation and redeployment costs in cloud environments.

A controller with a scheduler and load balancer dynamically configures virtual network resources across physical infrastructure.

Reallocating computing resources between memory devices enables accurate classification of unknown objects, resolving processing time delays.

A hardware emulator system separates computational resources to isolate emulation tasks from accelerator operations.

A hypervisor receive queue manages packet flow between guest operating systems and virtual devices.

Image processing apparatus selects between moving and still image transfer processes to optimize graphics processing unit resource allocation.

A demand-driven locale management system dynamically updates scores to automatically install requested locales.

A networked information processing system enables portable terminals to execute proxy computing tasks on remote devices.

A point system pairs video processing workloads with hardware configurations using calculated scores to assign tasks to suitable systems.

Dynamic priority adjustment balances performance guarantee and responsiveness by switching stream priorities based on system state.

Distributed Orchestration Engine coordinates VM and container components across multiple clouds using an infrastructure-independent application representation.

Hypervisor segments MAC address management to prevent duplication during physical device replacement or virtual machine migration.

A management system creates service templates linked to components and processes version upgrade requests for target apparatuses.