The researchers focused on improving how databases handle queries in a distributed system to reduce processing costs. They introduced new models for handling multiple queries simultaneously with less data transmission between sites. One model allowed for parallel processing of tasks at different sites, increasing efficiency by handling operations independently. By using this model, the database can process tasks faster as each site can process relevant tasks simultaneously, thereby minimizing the overall processing time and cost for complex queries in distributed systems.