More Problems

• 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 the total number of jobs completed while minimizing server overload.
• Design a Greedy algorithm to allocate 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.
• You are tasked with scheduling the repair of high-traffic roads where each road has varying traffic volumes, repair costs, and downtime. Maximize the number of roads repaired while minimizing traffic disruptions.
• Design a Greedy algorithm to allocate limited bandwidth across telecommunications networks 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 marketing campaigns where each campaign has varying costs, potential reach, and engagement levels. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing costs.
• Design a Greedy algorithm to allocate limited research grants to university departments where each department has varying success rates, project timelines, and potential discoveries. Maximize total research output while minimizing financial risk.
• You are tasked with scheduling the release of high-demand products in a tech company where each product has different development timelines, market demand, and profitability. Maximize total revenue while minimizing production delays.
• 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.