
Research Article
OGSSim: Open Generic data Storage systems Simulation tool
@INPROCEEDINGS{10.4108/eai.24-8-2015.2261023, author={Sebastien Gougeaud and Soraya Zertal and Jacques-Charles Lafoucriere and Philippe Deniel}, title={OGSSim: Open Generic data Storage systems Simulation tool}, proceedings={Eighth EAI International Conference on Simulation Tools and Techniques}, publisher={ACM}, proceedings_a={SIMUTOOLS}, year={2015}, month={8}, keywords={simulation tools event-driven simulation modularity zeromq storage systems hdd ssd oltp and scientific workloads}, doi={10.4108/eai.24-8-2015.2261023} }
- Sebastien Gougeaud
Soraya Zertal
Jacques-Charles Lafoucriere
Philippe Deniel
Year: 2015
OGSSim: Open Generic data Storage systems Simulation tool
SIMUTOOLS
ICST
DOI: 10.4108/eai.24-8-2015.2261023
Abstract
In this paper, an open and generic storage simulator is proposed. It simulates with accuracy multi-tiered storage systems based on heterogeneous devices including HDDs, SSDs and the connecting buses. The target simulated sys- tem is constructed from the hardware configuration input, then sent to the simulator modules along with the trace file and the appropriate simulator functions are selected and executed. Each module of the simulator is executed by a thread, and communicates with the others via ZeroMQ, a message transmission API using sockets for the information transfer. The result is an accurate behavior of the simulated system submitted to a specific workload and represented by performance and reliability metrics. No restriction is put on the input hardware configuration which can handle differ- ent levels of details and makes this simulator generic. The diversity of the supported devices, regardless to their na- ture: disks, buses, ..etc and organisation: JBOD, RAID, ..etc makes the simulator open to many technologies. The modularity of its design and the independence of its exe- cution functions, makes it open to handle any additional mapping, access, maintenance or reconstruction strategies. The conducted tests using OLTP and scientific workloads show accurate results, obtained in a competitive runtime.