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Showing 1 to 7 of 7 for “"function-as-a-service"”.

  1. FaaSRank: A Reinforcement Learning Scheduler for Serverless Function-as-a-Service Platforms

    In recent years, Function-as-a-Service (FaaS) platforms have gained popularity as a way to deploy serverless applications in the cloud instigating the rise of serverless computing. Current serverless FaaS platforms generally use simple, classic scheduling algorithms for distributing function

    washington Repository record for FaaSRank: A Reinforcement Learning Scheduler for Serverless Function-as-a-Service Platforms (opens in a new tab)

  2. Heterogeneous Hardware Support for Apiary

    Function-as-a-Service (FaaS) platforms are an appealing option for developers because they save time and money by eliminating the work spent managing application servers. Apiary is a novel FaaS platform which performs extremely well on datacentric tasks by tightly integrating computation and …

    mit Repository record for Heterogeneous Hardware Support for Apiary (opens in a new tab)

  3. Towards SLO-aware Resource Scheduling for Serverless Inference Workloads

    … of Machine Learning (ML) and Deep Learning (DL) has revolutionized various domains, necessitating efficient and cost-effective ML inference capabilities. Function-as-a-Service (FaaS) has emerged as a promising approach for hosting ML inference services, providing a serverless computing environment …

    vt Repository record for Towards SLO-aware Resource Scheduling for Serverless Inference Workloads (opens in a new tab)

  4. Exploration of Kubernetes-based FaaS solutions

    … to the industry-wide trend favoring lightweight functions over server-based services, this project delves into the exploration of function as a service (FaaS) options on top of Kubernetes. With the primary objective of making well-informed decisions regarding future runtime selections, the …

    reykjavik Repository record for Exploration of Kubernetes-based FaaS solutions (opens in a new tab)

  5. Comparative Performance Analysis of Cryptographic Workloads Across Cloud Providers: A Multi-Language Study on FaaS and IaaS Platforms Dataset

    <p>Cloud computing has become a relatively new paradigm for the delivery of compute resources, with key management services (KMS) playing a crucial role in securely handling cryptographic operations in the cloud. This paper presents the microbenchmark of cloud cryptographic workloads, including SHA …

    embry-riddle Repository record for Comparative Performance Analysis of Cryptographic Workloads Across Cloud Providers: A Multi-Language Study on FaaS and IaaS Platforms Dataset (opens in a new tab)

  6. Contention-resilient overcommitment for serverless deployments

    Serverless computing, or Function-as-a-Service (FaaS), simplifies application deployment by allowing developers to focus on functionality while the service provider manages the underlying resources. This model charges users based on actual resource usage, making it ideal for intermittent workloads, …

    cambridge Repository record for Contention-resilient overcommitment for serverless deployments (opens in a new tab)

  7. Design and Implementation of a Serverless MapReduce Framework

    … ένα MapReduce framework βασισμένο στο μοντέλο Function as a Service (FaaS), το οποίο χρησιμοποιεί το Kubernetes για την ανάπτυξη, το Knative για τη διαχείριση των serverless workloads και cloud native υπηρεσίες για την αποθήκευση και τη διαχείριση δεδομένων. Το framework οργανώνεται σε πέντε …

    athens Repository record for Design and Implementation of a Serverless MapReduce Framework (opens in a new tab)