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All-you-can-inference: serverless DNN model inference suite
Serverless computing becomes prevalent and is widely adopted for various applications. Deep learning inference tasks are appropriate to be deployed using a serverless architecture due to the nature of fluctuating task arrival events. When serving a Deep ...
Impact of microarchitectural state reuse on serverless functions
Serverless computing has seen rapid growth in the past few years due to its seamless scalability and zero resource provisioning overhead for developers. In serverless, applications are composed of a set of very short-running functions which are invoked ...
Sentinel: a fast and memory-efficient serverless architecture for lightweight applications
Serverless computing is a new computing paradigm that enables application developers to focus on the core service logic of their applications. To protect the host kernel from attacks, serverless service providers need to ensure isolation between ...
Migrating from microservices to serverless: an IoT platform case study
Microservice architecture is the common choice for developing cloud applications these days since each individual microservice can be independently modified, replaced, and scaled. As a result, application development and operating cloud infrastructure ...
Transferring transactional business processes to FaaS
Function-as-a-Service (FaaS) is a modern cloud service model that has gained significant attention from the research and industry communities in recent years for its many benefits such as dynamic scaling, cost efficiency, faster programming, flexibility ...




