More Problems

• You are given a set of tasks in a cloud computing environment where each task has different execution times, memory requirements, and processing needs. Implement a Greedy algorithm to maximize total system throughput while minimizing resource overuse.
• Design a Greedy algorithm to allocate limited advertising slots on a streaming platform where each ad has varying viewer engagement potential and revenue. Maximize total ad revenue while minimizing viewer dissatisfaction.
• You are tasked with scheduling the repair of high-traffic roads where each road has different traffic volumes, repair costs, and repair durations. Maximize the number of roads repaired while minimizing traffic disruptions.
• 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 jobs in a distributed computing system where each job has different memory, processing, and network requirements. Implement a Greedy algorithm to maximize total job completion while minimizing resource conflicts.
• Design a Greedy algorithm to allocate limited bandwidth across multiple streaming services where each service has varying viewer engagement, data usage, and revenue potential. Maximize viewer satisfaction while minimizing bandwidth congestion.
• You are tasked with scheduling the release of new digital products in a global tech company where each product has varying development times, market demand, and profitability. Maximize total revenue while minimizing production delays.
• Design a Greedy algorithm to allocate limited public funds to urban development projects where each project has varying public benefits, costs, and completion times. Maximize the total public benefit while minimizing project delays.