Cloud computing is a model that provides everything as a service. There are challenges in adopting cloud computing; one of the main issues is the resource allocation and scheduling. Finding a suitable resource for every client request in any distributed environment is a challenging task. Resource discovery is more complicated in cloud computing due to its characteristics like elasticity, scalability. In such a distributed environment, discovery and allocation of suitable resources for client requests place a vital role. In this paper, we present an Agent-based resource discovery and allocation algorithm considering response time, energy efficiency factor, load balancing, and proper resource utilization. This is the extension of our previous works and We compare the results of the framework with the previous job scheduling algorithm implemented in the cloud environment. Simulation results show that the proposed framework performs better than the existing algorithm and achieves the objectives.