D2 3 Computing e-Infrastructure cost calculations and business _models_vam1-final

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e-‐FISCAL: www.efiscal.eu EC Contract Number: 283449 HS06 for M1 XL – Intel HS06 for M3 XL – Intel HS06 Score HS06 Score 90 80 70 60 50 40 30 20 10 0 90 80 70 60 50 40 30 20 10 0 Bare Metal Bare Metal 1 VM n VMs + Minimal load 1 VM n VMs + Minimal load HTC EC2 n VMs + Fully loaded HTC EC2 n VMs + Fully loaded 90 80 70 60 50 40 30 20 10 0 90 80 70 60 50 40 30 20 10 0 HTC EC2 Bare Metal 1 + n VMs n HS06 HTC EC2 Bare Metal 1 + n VMs n HS06 HTC Number of VMs = 8 HTC Number of VMs = 8 The above two graphs illustrate the HEPSEPC06 scores comparison for the EC2 M1 and M3 Extra Large instances and corresponding in-‐house HTC instances at INFN with the Intel processors. From the graphs following observations could be made (in addition to what has already been discussed): • 46.21% average performance loss (ranging from 8.14-‐55.84%) while comparing the HEPSEPC06 scores between M1 Extra-‐Large EC2 and corresponding in-‐house HTC instances at INFN. • 43.37% average performance loss (ranging from 18.24-‐55.26%) while comparing the HEPSEPC06 scores between M3 Extra-‐Large EC2 and corresponding in-‐house HTC instances at INFN. e-‐FISCAL : Financial Study for Sustainable Computing e-‐Infrastructures Deliverable D2.3 – Computing e-‐Infrastructures cost estimation and analysis – Pricing and Business models 100
e-‐FISCAL: www.efiscal.eu EC Contract Number: 283449 (a) HS06 for M3 Double XL – Intel (b) Resource subscription impact HS06 Score HS06 Score 160 140 120 100 80 60 40 20 0 160 140 120 100 80 60 40 20 0 Bare Metal 1 + 3 VMs Bare Metal 1 + 3 VMs HTC EC2 4 HS06 HTC EC2 4 HS06 160 140 120 100 80 60 40 20 0 160 140 120 100 80 60 40 20 0 No Oversubscripqon Increased Subscripqon Overcomitment Bare Metal 1 + 3 VMs 4 HS)6 No Oversubscripqon Increased Subscripqon Overcomitment Bare Metal 1 + 3 VMs 4 HS)6 HTC Number of VMs = 4 HTC Number of VMs = 4 The above graph (a) demonstrates the HEPSEPC06 scores comparison for the EC2 M3 Double Extra Large instances and corresponding in-‐house HTC instances at INFN with the Intel processors. From the graphs following observations could be made (in addition to what has already been discussed): • 37.79% average performance loss (ranging from 8.81-‐54.98%) while comparing the HEPSEPC06 scores between M3 Double Extra-‐Large EC2 and corresponding in-‐house HTC instances at INFN. In addition, (b) displays the HEPSPEC score trends with the increasing level of resource subscription and over-subscription. In the bare-‐metal case there is no memory over-‐subscription, as memory is solely utilized by one instance. In the second case, memory resource is shared amongst 4 VMs, where only one is running the HEPSPEC06 benchmark and rest of the three virtual machines are idle. We can see that there is no significant effect of increasing the memory subscription as long as it stays below the available memory size. The third case where all four virtual machines are running HEPSEPC06 and memory is stressed across the physical machine, it is clear that oversubscription of only the memory resource decreases the HEPSEPC06 score (thus increases the performance loss). Although more detailed test case is required to fully understand the effect of resource oversubscription. e-‐FISCAL : Financial Study for Sustainable Computing e-‐Infrastructures Deliverable D2.3 – Computing e-‐Infrastructures cost estimation and analysis – Pricing and Business models 101
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D2 3 Computing e-Infrastructure cost calculations and business _models_vam1-final

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