The introduction of computational resources at the network edge allows application designers to offload computation from clients and/or servers, thereby reducing response latency and backbone bandwidth. More fundamentally, edge-computing moves applications from a client-server model to a client-edgeserver model. While this is an attractive paradigm for many use cases, it raises the question of how to design client-edgeserver systems so they can tolerate edge failures and client mobility. This is particularly challenging when edge processing is strongly stateful. In this paper we propose a design for meeting this challenge called the Client-Edge-Server for Stateful Network Applications (CESSNA). CCS Concepts • Networks → Programming interfaces; • Computer systems organization → Fault-tolerant network topologies.

Serverless computing has recently emerged as a new paradigm for running software on the cloud. In this paradigm, programs need to be expressed as a set of short-lived tasks, each of which can complete within a short bounded time (e.g., 15 minutes on AWS Lambda). Serverless computing is beneficial to cloud providers-by allowing them to better utilize resources-and to users-by simplifying management and enabling greater elasticity. However, developing applications to run in this environment is challenging, requiring users to appropriately partition their code, develop new coordination mechanisms, and deal with failure recovery. In this paper, we propose Kappa, a framework that simplifies serverless development. It uses checkpointing to handle lambda function timeouts, and provides concurrency mechanisms that enable parallel computation and coordination. CCS Concepts • Computer systems organization → Cloud computing.

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