Title :
Denial-of-Service Threat to Hadoop/YARN Clusters with Multi-tenancy
Author :
Jingwei Huang ; Nicol, David M. ; Campbell, Roy H.
Author_Institution :
Inf. Trust Inst., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fDate :
June 27 2014-July 2 2014
Abstract :
This paper studies the vulnerability of unconstrained computing resources in Hadoop and the threat of denial-of-service to a Hadoop cluster with multitenancy. We model the problem of how many nodes in a Hadoop cluster can be invaded by a malicious user with given allocated capacity as a k-ping-pong balls to n-boxes problem, and solve the problem by simulation. We construct a discrete event simulation model to estimate MapReduce job completion time in a Hadoop cluster under a DoS attack. Our study shows that even a small amount of compromised capacity may be used to launch a DoS attack and cause significant impacts on the performance of a Hadoop/YARN cluster.
Keywords :
computer network security; workstation clusters; DoS attack; MapReduce job completion time estimation; Yet Another Resource Negotiator; denial-of-service threat; discrete event simulation model; k-ping-pong balls; multitenancy Hadoop/YARN clusters; n-boxes problem; unconstrained computing resources; Analytical models; Big data; Computational modeling; Computer crime; Containers; Yarn; Big Data; Hadoop; MapReduce; YARN; denial-of-service attacks; multitenancy; security;
Conference_Titel :
Big Data (BigData Congress), 2014 IEEE International Congress on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5056-0
DOI :
10.1109/BigData.Congress.2014.17