Gökçay, ErhanGokcay,E.Software Engineering2024-07-052024-07-0520180978-331994958-11865-092910.1007/978-3-319-94959-8_32-s2.0-85050377523https://doi.org/10.1007/978-3-319-94959-8_3https://hdl.handle.net/20.500.14411/3894Cloud technology provides many advantages and provides many services over traditional computational models. Although the provided virtual services increase resource sharing and cost effectiveness of the system, each node in the system is still centralized. Different CPU and OS versions bring interoperability problems in data exchange between nodes. In most cases less powerful units are left outside the service area. These units can only be considered as consumers of the cloud system. A new service called Cloud CPU is described elsewhere where the cloud provides the computational background for the components of a virtual CPU and the computation is distributed over internet. The design is using all units connected to the internet and it achieves a massively parallel operation. In this paper, the design of Cloud CPU will be extended and description of services needed with the new architecture will be discussed. One of the new services needed is a multi-language compiler where the target language is not fixed as well as the source language. The job of the compiler is not using the cloud for execution but to distribute the computation depending on the provided instruction sets published by each node. The computation makes sense only when all units work together and there is a need to synchronize and connect all nodes included in a particular computation. The need for synchronization will be gone when the computation is finished. Therefore an on demand Cloud-OS service is needed for bookkeeping and synchronization. The need for the Cloud-OS is temporary and the on demand initiated Cloud-OS will be terminated when the computation is ended. © Springer International Publishing AG, part of Springer Nature 2018.eninfo:eu-repo/semantics/closedAccessCloud CompilerCloud CPUCloud frameworkCPU on demandOn demand configurationParallel computationVirtualizationConference ObjectQ48644660