Paper Info
Title
ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes.
Abstract
The growing variety of data storage and retrieval needs is driving the design and development of an increasing number of distributed storage applications such as key-value stores, distributed file systems, object stores, and databases. We observe that, to a large extent, such applications would implement their own way of handling features of data replication, failover, consistency, cluster topology, leadership election, etc. We found that 45- 82% of the code in six popular distributed storage applications can be classified as implementations of such common features. While such implementations allow for deeper optimizations tailored for a specific application, writing new applications to satisfy the ever-changing requirements of new types of data or I/O patterns is challenging, as it is notoriously hard to get all the features right in a distributed setting. In this paper, we argue that for most modern storage applications, the common feature implementation (i.e., the distributed part) can be automated and offloaded, so developers can focus on the core application functions. We are designing a framework, ClusterOn, which aims to take care of the messy plumbing of distributed storage applications. The envisioned goal is that a developer simply \"drops\" a non-distributed application into ClusterOn, which will convert it into a scalable and highly configurable distributed application.
Year
Venue
Field
2016
HotStorage
Failover,Replication (computing),Computer science,Computer data storage,Distributed data store,Implementation,Data type,Data as a service,Scalability,Distributed computing
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
9
4
Name
Order
Citations
PageRank
Ali Anwar111314.83
Yue Cheng2759.77
Hai Huang375.46
Ali R. Butt465147.51