Performance Analysis of the Globus Toolkit Monitoring and Discovery Service, MDS2
Xuehai Zhang, Jennifer M. Schopf
Abstract
Monitoring and information services form a key component of a distributed system, or Grid. A quantitative study of such services can aid in understanding the performance limitations, advise in the deployment of the monitoring system, and help evaluate future development work. To this end, we examined the performance of the Globus Toolkit(reg. trdmrk) Monitoring and Discovery Service (MDS2) by instrumenting its main services using NetLogger. Our study shows a strong advantage to caching or prefetching the data, as well as the need to have primary components at well-connected sites.
Create a lesson
Related papers
Scheduling in Cloud,Fog, and Edge Computing: A Comparative Analysis and Decision Framework for Technique Selection
Rana Ghazali, Douglas G. Down
GPU-resident Execution for Timing-predictable Sensor Processing Systems
Soham Sinha, Rahul Choudhury, Shekhar Dwivedi et al.
CompileMask: Bridging the Gap Between Expressiveness and Efficiency in Attention Masking
Hongzheng Li, Jiacheng Wan, Zhaolong Xing et al.
ShoreKeeper: Accelerating Iterative Data Analytics in the Cloud via Distributed Recovery-Cost-Aware Caching
Jongseop Lee, Minsu Sun, Xinyue Ma et al.
Stacked Intelligent Metasurface-Based MultiModal Feature Fusion for Collaborative Inference in Edge Networks
Yushi Wang, Zhengxin Yu, Guhan Zheng et al.
Taking Tokenization off the Host for Agentic LLM Serving
Mohammad Siavashi, Pascal Schwinte, Ali Banaei et al.