Lasp: A Model For Distributed, Convergent, Edge Computation
Consistency is hard and coordination is expensive. As we move into the world of
connected 'Internet of Things' style applications, or large-scale mobile
applications, devices have less power, periods of limited connectivity, and
operate over unreliable asynchronous networks. This poses a problem with shared
state: how do we handle concurrent operations over shared state, while clients
are offline,and ensure that values converge to a desirable result without
making the system unavailable? We look at a new programming model, called Lasp.
This programming model combines distributed convergent data structures with a
dataflow execution model designed for distribution over large-scale
Christopher Meiklejohn loves distributed systems and programming languages.
Previously, Christopher worked at Basho Technologies, Inc. on the distributed
key-value store, Riak. Christopher develops a programming language for
distributed computation, called Lasp. Christopher is currently a Ph.D. student
at the Université catholique de Louvain in Belgium.