Resource Allocation TRIZ Cases

Mediated pass-through and trap-and-emulation enable secure multi-VM access to performance-critical hardware while minimizing hypervisor intervention.

A workload management system dynamically reallocates hardware accelerators across multiple information processing systems to meet job performance goals.

A method assigns application workloads to processor cores based on real-time operational characteristics in simultaneous multi-threading environments.

Partitioning FPGA resources isolates service processing units, distributing packets via forwarding rules to reduce processor workload and improve efficiency.

A peripherals manager links virtualized applications to airport hardware via matched channel identifiers.

A first program obtains calculation resource information and releases resources to enable parallel execution of secondary programs.

Intercepting hypercalls via an access control layer resolves host compromise risks by enforcing security closer to the hardware platform.

A data lake platform allocates fixed-capacity bins to handle tenant load requirements through dynamic resource management.

Electronic device allocates physical channels to hardware resources based on predicted computation amounts.

A file I/O scheduler uses a tree structure to determine data dependencies between processing chunks for optimized execution.

Pre-computing successive free node counts across virtual axes reduces condition judging processes, accelerating job allocation and minimizing fragmentation.

Removing non-launched third-party applications from the receiver queue reduces processing overhead and improves application response time.

Dynamic power allocation adjusts budgets to actual needs, reducing infrastructure costs while maintaining system reliability.

Configuration framework publishes integration component settings to a marketplace platform, reducing manual setup effort and errors across cloud tenants.

Segmenting device driver execution into a restricted partition isolates stability risks while an adjunct partition manages SR-IOV physical functions.

Multi-horizon regression models capture fluctuating workload patterns to maintain estimation accuracy where fixed-pattern methods fail.

A system ranks hosts by compatibility to construct configuration templates for cluster formation.

A processing system employs social mapping information to filter users and resource owners for dynamic scheduling negotiations.

A cloud resource manager adjusts media processing speed to meet time constraints, reducing latency in real-time workflows.

A hardware accelerator uses an IP checker circuit to verify device IDs against a signed whitelist, preventing unauthorized core deployment and spoofing attacks.

A processor prioritizes instructions by criticality to optimize operation sequences and enhance program running efficiency.

Magnetic components detect device edges to trigger joint operating modes for shared resources.

Enhanced service DNS server retrieves routing mechanisms from an integrated metadata repository in real-time.

A multi-leader election algorithm distributes processing tasks across multiple compute nodes using a coordination service.

An integration plugin resolves service accessibility limits by generating client scripts that parse custom form schemas and support field dependencies.

Streaming service logic to client containers enables local execution, eliminating network round-trips and reducing latency for frequent requests.

A telemetry data filter generates a filtered dataset by omitting subsumed resource utilization values to streamline system component management.

Controller detects orphan virtual machines to map them to virtual network functions, resolving visibility gaps that cause resource wastage.

A cloud elasticity controller routes new jobs to the most loaded virtual machine within operational bounds.

A specialized verification process queries the datastore to confirm receipt and automatically retries failed deliveries, eliminating manual re-crawling.

A host-gateway appliance aggregates host computer clusters into a hierarchical distributed computing system managed by top-level servers.

A system organizes hardware resources into a global pool for dynamic allocation to operational units during runtime.

A data storage device selects target devices using status information to acquire message data efficiently.

Delay-aware scheduling optimizes training time by prioritizing edge devices with lower computation and communication delays.

A proactive resource reservation system detects storage access failures and automatically recovers impacted virtual machines by reserving resources on healthy hosts.

Segmenting virtual objects by interaction relationships balances server loads and prevents performance degradation in large-scale environments.

Learning-based method resolves selection difficulty by automatically scoring AI applications on relevant test sets to recommend the highest-performing tool.

Dynamic GPU selection distributes video decoding workloads across multiple units to prevent system bottlenecks during peak loads.

Context-aware volume placement spreads interrelated requests across hosts, reducing oversubscription failures and improving reliability.

A distributed scheduler node assigns software verification jobs to worker nodes based on real-time resource availability and job characteristics.

Virtual partitioning maps physical network interface functions into independent software partitions to aggregate resources across diverse hardware types.

A load balancing algorithm reroutes messages between parallel queue instances by adjusting their priority settings based on real-time throughput monitoring.

A distributed system computes machine queuing models from node operational characteristics to detect susceptibility to oscillatory load behavior.

A global optimization manager unifies compilation states to allocate scratchpad memory, eliminating resource waste from isolated compiler decisions.

A state daemon records configuration instructions while a generator produces compatible files for various management applications.