By Topic

Exploiting RDMA operations for Providing Efficient Fine-Grained Resource Monitoring in Cluster-based Servers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Vaidyanathan, K. ; Dept. of Comput. Sci. & Eng., Ohio State Univ. ; Jin, H.W. ; Panda, D.K.

Efficiently capturing the resource usage in a shared server environment has been a critical research issue in the past several years. With the amount of resources used by each application becoming more and more divergent and unpredictable, the solution to this problem is becoming increasingly important. In the past, several researchers have come up with a number of techniques which rely on coarse-grained monitoring of resources in order to avoid the overheads associated with fine-grained monitoring. In this paper, we propose a low-overhead efficient fine-grained resource monitoring scheme using the advanced Remote Direct Memory Access (RDMA) operation provided by RDMA-enabled interconnects such as InfiniBand (IBA). We evaluate the relative benefits of our approach against traditional approaches in various environments (including micro-benchmarks as well as real applications such as an auction server based on the RUBiS benchmark and the Ganglia distributed monitoring tool). Our results indicate that our approach for fine-grained monitoring can significantly improve the overall system utilization, thereby resulting in up to 25% improvement in the number of requests the cluster-system can admit

Published in:

Cluster Computing, 2006 IEEE International Conference on

Date of Conference:

25-28 Sept. 2006