Payload fragmentation framework for high-performance computing in cloud environment

Cloud computing environment delivers resources such as CPU cycles, storage, network service and memory through a web-based model. Users run their applications on remote infrastructure and get benefited more at a lesser cost. Compiling large-scale applications such as compiling GCC and compiling Clang in C and C++ environments where applications involve encryption breaking tools require extensive analysis. Lack of CPU cycles in consumer-grade computing will be detrimental to such applications. Fragmenting and distributing payloads across multiple clusters for such applications in a cloud-like environment is a challenging task. We have proposed a novel approach to perform payload distribution for users who want to run their computationally expensive tasks efficiently. The proposed framework has performed well compared to the ‘traditional’ payload execution policy.