zIIP Efficiency Analyzer for Mainframe Workload Optimization
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Solution Overview
Problem
Mainframe computers face inefficiencies in workload distribution between general-purpose processors and special-purpose zIIPs, leading to potential cost savings but also overhead costs that may offset these savings, necessitating a method to determine cost-effectiveness of zIIP execution for specific processes.
Innovation Solution
A method involving data collection and analysis to calculate efficiency percentages by comparing CPU usage between general-purpose and zIIP processors, determining whether to authorize zIIP execution based on predefined thresholds to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a process is executed on a zIIP processor, then cost savings are achieved by offloading from general-purpose processors, but overhead costs may offset these savings and system complexity increases
Solution Approach 1:
The patent changes the parameter of processor selection by dynamically evaluating multiple factors (overhead cost, eligibility, availability) rather than using a static assignment rule. This allows the system to adaptively determine whether zIIP execution is beneficial for each process, resolving the contradiction between achieving cost savings and managing system complexity.
Solution Approach 2:
The patent implements feedback mechanisms by collecting data on zIIP execution performance, overhead costs, and processor availability, then using this information to make informed decisions about process placement. This feedback loop enables the system to optimize cost savings while avoiding excessive complexity through data-driven management.
2Loss of energy
If more processes are executed on zIIP processors, then more cost savings are achieved, but resource competition increases and may prevent other processes from running
Solution Approach 1:
The patent applies dynamics by making zIIP process assignment flexible and adaptive rather than static. The system continuously evaluates process eligibility, zIIP availability, and overhead costs, dynamically adjusting which processes run on zIIPs versus general-purpose processors. This dynamic approach ensures cost savings are maximized while maintaining reliability by preventing resource starvation.
Solution Approach 2:
The patent implements partial action by selectively offloading only those processes that meet specific criteria (eligibility, overhead threshold, zIIP availability) rather than moving all eligible processes to zIIPs. This selective approach ensures sufficient zIIP resources remain available to maintain process execution guarantees while still achieving cost savings on suitable workloads.
3Loss of energy
If processes are evaluated for zIIP execution, then cost-effectiveness can be determined, but additional data collection and analysis overhead is required
Solution Approach 1:
The patent applies preliminary action by pre-evaluating and categorizing processes based on their eligibility for zIIP execution and expected overhead characteristics. This preliminary classification allows the system to make faster runtime decisions without performing complete evaluations for every process, thus reducing the time loss associated with evaluation while still achieving overhead cost reduction through informed process placement.
Data Source
AI summary
Embodiments include method, systems and computer program products for z Integrated Information Processors (zIIP) processing performance analysis and process management. In some embodiments, at least a portion of an application may be executed using a general-purpose processor of a mainframe computing device, wherein the at least the portion of the application comprises a zIIP-enabled process. A first set of data associated with the general-purpose processor may be collected. At least a portion of the application may be executed using a zIIP of the mainframe computing device. A second set of data associated with the zIIP may be collected. An efficiency percentage may be calculated using the first set of data and the second set of data. A portion of the application may be authorized to execute on the zIIP based on the efficiency percentage.