Improving Interoperabiti In Cloud Fog Dynamic Workflows Scheduling

Abstract

newlineCloud computing has emerged as a widely adopted paradigm for providing on-demand access to computing resources over the internet. With the advancement of Internet of Things (IoT), Fog computing has emerged as a complementary paradigm to Cloud computing that facilitates computing at the edge of the network. The combination of Cloud and Fog computing offers a powerful computing environment for executing complex workflows that require resources from both Cloud and Fog. However, scheduling workflows in such dynamic environments is challenging due to the heterogeneity of resources and the lack of interoperability between Cloud and Fog environments. This research proposes to improve interoperability in Cloud/Fog dynamic workflows scheduling to enable efficient and effective resource utilization. Cloud computing has revolutionized the way businesses and organizations handle their computing needs by providing on-demand access to a shared pool of configurable computing resources, such as networks, servers, storage, applications, and services. However, as the complexity and volume of data continue to grow, there is a need for new computing paradigms that can support the processing and analysis of massive amounts of data in real-time. Fog computing has emerged as a complementary paradigm to cloud computing that aims to bring computation, storage, and networking resources closer to the edge of the network, thereby reducing the latency and improving the response time for time- critical applications. newline newlineThe combination of cloud and fog computing has the potential to provide a powerful computing environment that can support complex workflows that require resources from both cloud and fog environments. However, the scheduling of such dynamic workflows in cloud/fog environments is challenging due to the heterogeneity of resources, the diversity of application requirements, and the lack of interoperability between cloud and fog environments. newline