The high power consumption of the cloud computing infrastructure has been a constant concern since its inception, reflecting on remarkable research in the area and consequent publication of a large number of papers. One of the major limitations presented in this area is the difficulty of validating proposed solutions through direct deployment in real systems. Several issues contribute to this difficulty: technical specificities, the size of the data centers that make up the clouds, the need for rapid and dynamic adjustments during the development of the solution, etc. To overcome these limitations, simulators have become popular for conducting preliminary tests.
In this site it is available the SinergyCloud, a toolkit developed to simulate and evaluate cloud computing data centers behavior in virtual machine and workload scheduling processes. This Java-based event-driven packet-level toolkit is designed to have a less steep learning curve than other simulators, easy extensibility, and allowing the evaluation of several parameters. SinergyCloud's main purpose is to analyze power consumption, makespan, completion time of individual workloads, number of node turn ons/turn offs, number of started/finished/aborted migrations of VMs, in data centers, federated or not, homogeneous or heterogeneous, with a granularity at the individual level of each physical network node - edge router, switch, broker, storage, host -, being able to scale up to hundreds of thousands of equipment, depending on the scenario be evaluated.
What SinergyCloud supports:
SinergyCloud documentation is available through Javadoc.
SinergyCloud is a free software distributed under the GPLv3 license. The SinergyCloud jars available for download are:
If you need old versions of SinergyCloud, they can be downloaded from the links below. They are strongly ***not*** recommended!
| Date | Version/Changes |
|---|---|
| 2021-02-16 | 3.0 Beta 3. Improvements:
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| 2020-10-13 | 3.0 Beta 1. Improvements:
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| 2018-03-20 | 2.0 RC3. Improvements:
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| 2017-12-15 | 2.0 RC2. Improvements:
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| 2017-11-12 | 2.0 RC1. Improvements:
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| 2017-09-21 | 1.0: Initial release |
The SinergyCloud discussion group is available here.
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2020 Computer Networks Laboratory
Institute of Computing
University of Campinas