Join us for our next webinar, How modernized their stack with a supergraph on June 9th Register Now. Apollo is one of the Olympian deities in classical Greek and Roman religion and Greek and.
Future Generation Computer Systems, 114:368-382, 2021. Apollo Graph Platform unify APIs, microservices, & databases into a graph that you can query with GraphQL. AFCL: An abstract function choreography language for serverless workflow specification. Future Generation Computer Systems, 2017. Serverless execution of scientific workflows: Experiments with Hyperflow, AWS Lambda and Google Cloud Functions. Compss-mobile: Parallel programming for mobile cloud computing. In 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion), pp. The new design was developed from the ground up to take advantage of the processing power of the new Apollo Cloud 2 Duo. Comparison of FaaS orchestration systems. The new design of Apollo Cloud 2.0 App brings many new features to the already popular Apollo Cloud. In Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, pp. Triggerflow: trigger-based orchestration of serverless workflows. Ripple: A practical declarative programming framework for serverless compute. From laptop to Lambda: Outsourcing everyday jobs to thousands of transient functional containers. Hello Select your address Electronics Hello, Sign in. In European Conference on Service-Oriented and Cloud Computing. Promise Apollo Cloud 2 Duo Diskless 0TB : : Computers. TOSCA in a Nutshell: Promises and Perspectives. The days revolved around cloud and connectivity for Enterprise networks and telepresence collaboration solutions. The ability to flexibly determine the placement of implementation actions opens up new optimization opportunities, while at the same time providing access to greater computing power for optimizing challenging decisions such as task scheduling and the placement and routing of data. This flexible structure enables distributing not only the processing, but the implementation process itself across a large number of resources, each running an independent Apollo instance. Apollo features (a) a flexible model of the application and the available resources and (b) an implementation process based on a large set of independent agents. Apollo's modular design enables a fine-grained decomposition of the runtime implementation(scheduling, data transmission, etc.) of the application, so that each of the numerous implementation decisions can be optimized separately, fully exploiting the potential for the optimization of the overall performance and costs. This paper provides a first presentation of Apollo, a runtime system for serverless function compositions distributed across the cloud-edge-IoT continuum. mainly focus on the Microsoft Azure Cloud platform and related Microsoft cloud products and provides easy to follow step by step technical guides, diagrams, cloud certifications and tutorials.