Campaign Management System Dynamic Resource Throttling
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Solution Overview
Problem
System administrators face challenges in accurately allocating resource capacity for campaign events, often leading to over- or under-allocation, resulting in underutilized resources and additional licensing fees.
Innovation Solution
A campaign management system dynamically allocates resource capacity in real-time based on campaign priorities, historical trends, service level agreements, and real-time demand, allowing for re-allocation of unused capacity between campaigns and throttling back resources to match vendor capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If system administrators allocate resource capacity in discrete blocks based on historical trends or expectations, then resource allocation is simplified and manageable, but resource utilization efficiency deteriorates due to over-allocation and underutilization
Solution Approach 1:
The patent implements dynamic resource capacity allocation that automatically adjusts resource distribution based on real-time campaign performance data and actual demand signals. The system transitions from static discrete block allocation to continuous dynamic allocation, where resource capacity is automatically reๅ้ among campaigns based on their current utilization rates and performance metrics, thereby improving resource utilization efficiency while maintaining operational simplicity
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor campaign performance and resource utilization rates, using this information to automatically adjust resource allocation decisions. The feedback loop enables the system to learn from historical trends and real-time data, optimizing resource distribution dynamically without requiring manual administrative intervention for each adjustment
2Reliability
If system administrators allocate sufficient resource capacity to ensure campaign events are fully supported, then campaign reliability is improved, but additional licensing fees increase due to over-provisioning
Solution Approach 1:
The system dynamically adjusts resource capacity allocation based on actual campaign needs and performance, transitioning from static over-provisioning to adaptive resource distribution. This ensures that sufficient capacity is maintained for reliable campaign operation while automatically scaling resource usage to match actual demand, thereby reducing unnecessary licensing fees
Solution Approach 2:
The patent changes the parameter of resource capacity allocation from fixed discrete blocks to continuously adjustable amounts based on real-time campaign performance metrics. This parameter change enables the system to optimize the balance between reliability and cost by allocating precisely the amount of resource capacity needed for each campaign based on its actual utilization and performance requirements
3Loss of energy
If resource capacity is dynamically reallocated based on real-time demand and campaign priorities, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The system implements self-service automation where the resource allocation mechanism automatically monitors campaign performance, determines real-time demand, and reallocates resource capacity without human intervention. This self-service approach handles the complexity of dynamic reallocation internally while presenting a simple interface to users, thereby improving resource utilization without exposing system complexity to operators
Solution Approach 2:
The patent introduces an intermediary automated resource management system that mediates between campaign demands and available resource capacity. This intermediary layer handles the complex real-time calculations and allocation decisions, shielding users from system complexity while enabling efficient dynamic resource reallocation based on campaign priorities and actual demand
4Ease of operation
If discrete block allocation is used for each campaign event, then resource allocation is straightforward and controllable, but adaptability to changing campaign demands deteriorates
Solution Approach 1:
The system transitions from static discrete block allocation to dynamic resource capacity distribution that automatically adapts to changing campaign demands. Resource allocation becomes a dynamic process that responds to real-time performance data and demand signals, enabling the system to adapt flexibly to varying campaign requirements while maintaining straightforward automated control
Solution Approach 2:
The patent implements a universal resource allocation system that serves multiple campaigns with varying demands using a single dynamic allocation mechanism. This multi-functional system can adaptively distribute resource capacity across different campaign types and priorities, providing both controllability through centralized management and adaptability to diverse changing demands
Data Source
AI summary
This disclosure sets forth systems and techniques that automatically allocate and throttle back resource capacity to multiple campaign events, in real-time, based on campaign event priorities and a supply and demand of available resource capacity. For example, a campaign management system may re-allocate unused resource capacity to a particular campaign event based on the particular campaign event's real-time demand for additional resource capacity. Unused resource capacity may originate from a common pool of resource capacity, or from other campaign events that have an over-allocation of resource capacity that is being underutilized. Further, the techniques described herein also describe throttling back resource capacity of a particular campaign event in response to determining that an existing pool of available resource capacity is unable to serve the particular campaign event's requirements.