More Problems

• Design a Greedy algorithm to allocate limited computing resources in a cloud environment where each task has different memory, processing, and execution requirements. Maximize total task completion while minimizing server usage.
• You are given a set of jobs in a parallel processing system where each job has different execution times, memory needs, and CPU requirements. Implement a Greedy algorithm to maximize the total number of jobs completed while minimizing resource overuse.
• Design a Greedy algorithm to allocate limited public transportation resources during peak hours in a city where each route has varying passenger demand, travel times, and costs. Maximize total passenger service while minimizing traffic congestion.
• You are tasked with scheduling repairs for a national railway system where each section of track has different traffic volumes, repair costs, and repair times. Maximize the number of repairs completed while minimizing train delays.
• Design a Greedy algorithm to allocate limited research grants to scientific projects where each project has varying risks, potential breakthroughs, and funding needs. Maximize total research output while minimizing financial risk.
• You are given a set of tasks in a distributed computing system where each task has different processing needs, execution times, and memory requirements. Implement a Greedy algorithm to maximize total system throughput while minimizing resource conflicts.
• Design a Greedy algorithm to allocate limited advertising space on popular websites where each ad has varying viewer engagement and potential revenue. Maximize total ad revenue while minimizing viewer dissatisfaction.
• You are tasked with scheduling the release of limited-edition consumer products where each product has different development times, market demand, and revenue potential. Maximize total sales while minimizing production delays.