Asynchronous Snapshots of Actor Systems for Latency-Sensitive Applications

07/18/2019
by   Dominik Aumayr, et al.
0

The actor model is popular for many types of server applications. Efficient snapshotting of applications is crucial in the deployment of pre-initialized applications or moving running applications to different machines, e.g for debugging purposes. A key issue is that snapshotting blocks all other operations. In modern latency-sensitive applications, stopping the application to persist its state needs to be avoided, because users may not tolerate the increased request latency. In order to minimize the impact of snapshotting on request latency, our approach persists the application's state asynchronously by capturing partial heaps, completing snapshots step by step. Additionally, our solution is transparent and supports arbitrary object graphs. We prototyped our snapshotting approach on top of the Truffle/Graal platform and evaluated it with the Savina benchmarks and the Acme Air microservice application. When performing a snapshot every thousand Acme Air requests, the number of slow requests ( 0.007 Our Savina microbenchmark results further detail how different utilization patterns impact snapshotting cost. To the best of our knowledge, this is the first system that enables asynchronous snapshotting of actor applications and minimizes the impact on latency. We thus believe it enables new deployment and debugging options for actor systems.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

11/22/2019

Archipelago: A Scalable Low-Latency Serverless Platform

The increased use of micro-services to build web applications has spurre...
10/08/2012

Mining Permission Request Patterns from Android and Facebook Applications (extended author version)

Android and Facebook provide third-party applications with access to use...
05/02/2021

Deployment Archetypes for Cloud Applications

This is a survey paper that explores six Cloud-based deployment archetyp...
09/07/2021

A Just-In-Time Networking Framework for Minimizing Request-Response Latency of Wireless Time-Sensitive Applications

This paper puts forth a networking paradigm, referred to as just-in-time...
06/17/2019

Slicing the IO execution with ReLayTracer

Analyzing IO performance anomalies is a crucial task in various computin...
02/08/2018

Minimizing Latency in Online Ride and Delivery Services

Motivated by the popularity of online ride and delivery services, we stu...
12/07/2019

Programming Scalable Cloud Services with AEON

Designing low-latency cloud-based applications that are adaptable to unp...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.