Resource management for raft consensus protocol
by Takuro Nakagawa; Naohiro Hayashibara
International Journal of Space-Based and Situated Computing (IJSSC), Vol. 8, No. 2, 2018

Abstract: Protocols which solve agreement problems are essential building blocks for fault-tolerant distributed applications. Especially, many consensus protocols have been proposed in recent decades. Paxos is the most famous consensus protocol, but it is difficult to understand and even more to implement. The recently proposed raft consensus protocol is a leader based consensus protocol. It is a simple enough to understand itself. Given the popularity of cloud-based elastic environments, it should consider adapting such environments. This paper proposes a resource management mechanism for raft protocol. It realises a dynamic raft cluster by introducing the flexible resource management and the notion of suspended nodes. In this mechanism, a leader node arouses suspended nodes when some nodes failed, or nodes come up against a heavy load. It can realise an appropriate configuration on the number of nodes in a service. As a result, it can reduce energy consumption during execution. Then, we show the performance evaluation of the proposed protocol regarding the number of messages sent by nodes and the number of execution steps for consensus executions. We also show the message-efficiency and the cost for the resource management mechanism by comparing the proposed protocol with raft protocol.

Online publication date: Mon, 03-Sep-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Space-Based and Situated Computing (IJSSC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com