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In this paper, we characterize the MG-RAST workloads running in the cloud, from the perspectives of computation, I/O, and data transfer. ... For example, MG-RAST, a production open-public metagenome annotation service, has experienced increasingly large amount of data submission and has demanded scalable resources for the computational needs ... ACKNOWLEDGMENTS This work was supported in part by the NIH award U01HG006537 "OSDF: Support infrastructure for NextGen sequence storage, analysis, and management", and U.S. ...doi:10.1109/bigdata.2014.7004394 dblp:conf/bigdataconf/TangBDMGHWM14 fatcat:4qcliocqhbfyxam2ch26dmst2u
The metagenomics analysis server MG-RAST at Argonne National Laboratory, a computational biology data processing platform, is receiving several terabytes of data submissions per month. ... Discrete-event simulation provides a way to evaluate the performance of MG-RAST with increased workloads without disrupting the production system. ... Acknowledgments This material was based upon work supported by the U.S. ...doi:10.1145/2901378.2901387 dblp:conf/pads/RossMJCCRTGM16 fatcat:4gyxkpbznbarlgmznr2kg72e6e
For resilience-by-design, we focus on design methods in software that are needed for our cyber systems to be resilient. ... For each of the two themes, we survey the current state, and the desired state and ways to get there. ... However, for global-scale, multi-tenant execution pipelines and data repositories, such as the metagenomics repository MG-RAST  ,  , the workloads may be more dynamic and unpredictable, making ...doi:10.1109/ojcs.2020.3006807 fatcat:sngt6fii3rhi7hiovtbjj5ptuy
For resilience-by-design, we focus on design methods in software that are needed for our cyber systems to be resilient. ... For each of the two themes, we survey the current state, and the desired state and ways to get there. ... However, for global-scale, multi-tenant execution pipelines and data repositories, such as the metagenomics repository MG-RAST  ,  , the workloads may be more dynamic and unpredictable, making ...arXiv:1912.11598v3 fatcat:d4lf2vs4yjbbrnrg7hk65qtbbm
Resources include EBI, NCBI's SRA, HMP DACC, CAMI, MetaHIT, iMicrobe, MG-RAST, etc. ... recognition (much harder than recognising a single activity), combining historical data with recently collected data for analytics (short-term vs. longterm)). ... statistical models for organism identification, or requiring substantial computational resources in order to process the large volumes of data necessary to ensure sufficient coverage. ...doi:10.4230/dagrep.6.8 fatcat:jhbruchpmvdthoe45w75w35wpe
Due to the limited data output the actual used system is not suitable for in-depth-investigation of 16S amplicon sequencing of metagenomes. ... For use in remote areas further improvements are needed to unbind the base-calling from "the cloud". ... Our data support the need for systematic analyses regarding the development of resistance against echinocandins in Candida spp. ...doi:10.1016/j.ijmm.2015.09.002 fatcat:yuxjcmjr4ffapmmbe54v2jofxy