<div dir="ltr">Dear all,<br><div class="gmail_quote"><div dir="ltr"><div><br></div><div>I have recently been running a number of experiments to support my research. However, I have found myself facing some issues with regard to both memory and time consumption. My experiments' setup may be summarised as follows:</div><div><br></div><div>Catalog Size: 1000000 & 100000000 objects </div><div>Network Topologies: Tiscali AS-3257 & Excodus AS-3967 (75 & 97 routers / 56 & 58 gateways, respectively)</div><div>Object Size: 1000 chunks on average </div><div>Chunk Size: 10KB (10240 virtual payload)</div><div>Cache Size: 100000 chunks, 1000000 chunks, 10000000 chunks</div><div>Number of Producers: 1 </div><div>Number of Consumers: 150 on average installed at each gateway</div><div>Popularity Distribution: Weibull Distribution</div><div>Interests Window: 1</div><div>ΔΤ between subsequent Interests: 0ms</div><div><br></div><div>Based on the aforementioned setup, I am only able to run experiments when my cache size is equal to 100000 chunks (the smallest). The memory consumption for this scenario is about 10GBs - for as long as I have recorded. The time consumption may vary depending on how many cores I am using to run the experiments and how fast my CPU is, from 8 hours to 10 hours or so. At this point I should state that these numbers refer to code using MPIs. </div><div><br></div><div>Consulting the documentation on ndnSIM simulator, these numbers look reasonable to me since eg a single CS entry in ndnSIM v1 may take about 0.75KBs, while taking into account the memory consumption of the rest architectural components. I do find that the time consumption is related to the fact that a large number of Interests is generated while no time interval has been applied between them.</div><div><br></div><div>So, my first question is, does this look reasonable to you too? Is this something that is indeed to be expected? </div><div><br></div><div>And my second question is if so, is there a way to avoid this and run larger experiments?</div><div><br></div><div>Kind regards,</div><div>Andriana. </div><div><br></div></div>
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