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Delft University of Technology

Increasing Memory Density through Dynamic Memory Extension with Memory1 through

Flash

Rellermeyer, Jan S.; Amer, Maher; Smutzer, Richard; Rajamani, Karthick

Publication date 2018

Document Version

Accepted author manuscript

Citation (APA)

Rellermeyer, J. S., Amer, M., Smutzer, R., & Rajamani, K. (2018). Increasing Memory Density through Dynamic Memory Extension with Memory1 through Flash. Poster session presented at ICT.OPEN 2018, Amersfoort, Netherlands.

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Increasing Container Density through

Dynamic Memory Extension with Memory1 Flash

Jan S. Rellermeyer, Maher Amer,

Richard Smutzer,

Karthick Rajamani

‡ Distributed Systems Group, TU Delft, †Diablo Technologies,IBM Research

Containers in Practice

• Containers co-exist on the same OS as opposed to full virtual-ization with a separate OS per tenant

• In practice, we see many cases where a majority of the con-tainers on a server are mostly inactive for an extended period of time while few containers show high activity.

• Should allow for higher density and better server utilization if we can pack container more densely without compromising the performance of the critical workloads

Container Density Benchmark

MongoDB AcmeAir Authentication httpd (~16 GiB of images)(~16 GiB of httpd ic images)(~16 GiB of httpd ic images)(~16 GiB of httpd mages)httpd1 atic images)(~16 GiB of httpd

mages)(~32 GiB of httpd static images)

AcmeAir Server

AcmeAir

Figure 1: ContainerScale setup

One critical workload (AcmeAir) of 3 containers, varying the amount of mostly inactive noise containers (Apache httpd).

Evaluation

0 200 400 600 800 1000 1200 0 10 20 30 40 50 0 50 100 150 200 250 300 T h ro u g h p u t (T PS ) La ten cy (ms )

# Noise Container Instances throughput

99% latency 95% latency 90% latency

Figure 2: ContainerScale without DMX

Server1can only sustain around 19 noise containers despite an overall constant workload.

DOES NOT SCALE

Memory becomes the bottleneck and the tail latency of the critical workload explodes

Memory1 DMX

AcmeAir Config File AcmeAir DMX Context AcmeAir MongoDB Config File MongoDB

DMX Context Virtual Memory Manager (VMM)

Web server cache

MongoDB httpd DMX Driver User Space Kernel RAM Flash

AcmeAir Memory Mongo DB Memory

Pagin g Paging httpd Config File Web Servers DMX Context Paging Figure 3: Memory1 DMX

Memory1 is a server memory extension product developed by Diablo Technologies that plugs into the DDR-4 memory channel and provides high bandwidth, low latency access to flash devices mounted on the module. The DMX kernel driver intercepts and services all memory requests generated by the selected application (malloc, page fault, etc). DMX creates a Memory Context for each selected application running on the server and carves out a dynamic portion of the server’s physical memory (i.e. DRAM) to be used as front-end cache for that application.

Evaluation with DMX

0 200 400 600 800 1000 1200 0 10 20 30 40 50 0 50 100 150 200 250 300 T h ro u g h p u t (T PS ) La ten cy (ms )

# Noise Container Instances Figure 4: ContainerScale with DMX

The system can now sustain 50 noise container instances with-out significant performance degradation.

Dynamic memory extension with DRAM Flash helps to increase container density.

1Inspur NF5180M4 system with 2xIntel Xeon E5-2660 v3 (32 cores), 256GiB RAM, Linux 3.10 with Docker 17.03.1-ce, Docker OOM disabled. 2 TiB of Diablo Memory1 Flash

Faculty of Electrical Engineering, Mathematics and Computer Science ContainerScale Benchmark on GitHub

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