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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design a Greedy algorithm to allocate limited computing resources in a cloud data center where each task has different memory, processing, and execution time requirements. Maximize server utilization while minimizing power consumption.
More Problems
You are given a set of projects in a global corporation where each project has varying timelines, resource requirements, and profit potential. Implement a Greedy algorithm to maximize total profits while minimizing project delays.
Design a Greedy algorithm to allocate limited bandwidth across mobile networks where each network has varying user demands and revenue potential. Maximize network efficiency while minimizing bandwidth congestion.
You are tasked with scheduling the release of critical software updates in a company where each update has different risks, development times, and user importance. Maximize system stability while minimizing delays.
Design a Greedy algorithm to allocate limited advertising slots on popular websites where each ad has varying viewer engagement and potential revenue. Maximize total revenue while minimizing ad conflicts and user dissatisfaction.
You are given a set of tasks in a distributed computing environment where each task has different memory and processing requirements. Implement a Greedy algorithm to maximize total task completion while minimizing resource conflicts.
Design a Greedy algorithm to allocate limited water resources during a drought where each region has varying population sizes, water needs, and infrastructure. Maximize total water distribution while minimizing shortages.
You are tasked with scheduling the deployment of medical personnel during a pandemic where each hospital has varying patient loads, staff shortages, and logistical challenges. Maximize patient care while minimizing travel delays.
Design a Greedy algorithm to allocate limited research funding to scientific projects where each project has varying risks, potential breakthroughs, and funding needs. Maximize total research output while minimizing resource wastage.
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