More Problems

• 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.
• Design a Greedy algorithm to allocate limited bandwidth across telecommunications networks in a large metropolitan area where each network has varying user demands, data traffic, and revenue potential. Maximize network efficiency while minimizing bandwidth congestion.
• You are given a set of jobs in a high-performance computing environment where each job has different memory, CPU, and network requirements. Implement a Greedy algorithm to maximize total system throughput while minimizing resource overuse.
• 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 release of digital content on a streaming platform where each piece of content has different engagement potential, viewer demand, and licensing costs. Maximize total viewer engagement while minimizing scheduling conflicts.
• Design a Greedy algorithm to allocate limited computing power in a cloud environment where each task has different memory, CPU, and execution time requirements. Maximize total task completion while minimizing power usage.