Options
ZooFence: Principled Service Partitioning and Application to the ZooKeeper Coordination Service
Maison d'édition
: IEEE
Date de parution
2014-10-6
De la page
67
A la page
78
Résumé
Cloud computing infrastructures leverage fault-tolerant and geographically distributed services in order to meet the requirements of modern applications. Each service deals with a large number of clients that compete for the resources it offers. When the load increases, the service needs to scale. In this paper, we investigate a scalability solution which consists in partitioning the service state. We formulate specific conditions under which a service is partitionable. Then, we present a general algorithm to build a dependable and consistent partitioned service. To assess the practicability of our approach, we implement and evaluate the ZooFence coordination service. ZooFence orchestrates several instances of ZooKeeper and presents the exact same API and semantics to its clients. It automatically splits the coordination service state among ZooKeeper instances while being transparent to the application. By reducing the convoy effect on operations and leveraging the workload locality, our approach allows proposing a coordination service with a greater scalability than with a single ZooKeeper instance. The evaluation of ZooFence assesses this claim for two benchmarks, a synthetic service of concurrent queues and the BookKeeper distributed logging engine.
Notes
, 2014
Nom de l'événement
SRDS'14: The 33rd IEEE International Symposium on Reliable Distributed Systems
Lieu
Nara, Japan
Autre version
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6983381
Type de publication
Resource Types::text::conference output::conference proceedings::conference paper
