文件列表:

LICENSE (7651, 2018-10-17)
Makefile (1269, 2018-10-17)
dctg_example (0, 2018-10-17)
dctg_example\.cmdenv-log (0, 2018-10-17)
dctg_example\.cproject (9284, 2018-10-17)
dctg_example\.nedfolders (4, 2018-10-17)
dctg_example\.oppbuildspec (234, 2018-10-17)
dctg_example\.project (1137, 2018-10-17)
dctg_example\Makefile (1633, 2018-10-17)
dctg_example\package.ned (41, 2018-10-17)
dctg_example\simulations (0, 2018-10-17)
dctg_example\simulations\appInstFrontEnd0.xml (3754, 2018-10-17)
dctg_example\simulations\appInstHadoop0.xml (3811, 2018-10-17)
dctg_example\simulations\omnetpp.ini (233, 2018-10-17)
dctg_example\src (0, 2018-10-17)
dctg_example\src\Makefile (3826, 2018-10-17)
dctg_example\src\MyTG.cc (2469, 2018-10-17)
dctg_example\src\MyTG.h (2101, 2018-10-17)
dctg_example\src\MyTG.ned (2309, 2018-10-17)
dctg_example\src\dctg_example.ned (2046, 2018-10-17)
dctg_example\src\mymsg.msg (1963, 2018-10-17)
dctg_example\src\package.ned (39, 2018-10-17)
dctg_example\src\sink.cc (1914, 2018-10-17)
dctg_example\src\sink.h (2055, 2018-10-17)
dctg_example\src\sink.ned (1832, 2018-10-17)
src (0, 2018-10-17)
src\DCTG.cc (28793, 2018-10-17)
src\DCTG.h (5939, 2018-10-17)
src\DCTrafficGen.cc (7642, 2018-10-17)
src\DCTrafficGen.h (3945, 2018-10-17)
src\DCTrafficGen.ned (3259, 2018-10-17)
src\createAppInstances.py (13086, 2018-10-17)
src\package.ned (39, 2018-10-17)
traffic (0, 2018-10-17)
traffic\FBFrontEnd (0, 2018-10-17)
... ...

# DCTG Data Center Traffic Generator Library Data Center Network (DCN) research is gaining further momentum as the Cloud computing model proves scalable and efficient. As the economic efficiency of Cloud Computers improves with their size, Hyperclouds are now designed to contain 10,000 to 100,000 hosts. This extreme scale poses a challenge to DCN researchers, since building an experimental DCN of reasonable size is prohibitively expensive. Consequently, the research community greatly depends on the availability of formally defined traffic patterns, which describe the characteristics of Hyperscale DCN traffic. Even though several papers describing particular-cloud traffic were released over the years, no formal model was ever published or accepted as standard. We contribute, the DCTG package, which provides a solution to this challenge by introducing a free to use, standard way of publishing traffic characteristics measured on hyperscale clusters. The package, is based on OMNeT++ event driven simulation technology that is free for academic use. DCTG generates traffic according to statistical profiles of flow duration, total size, packet size, message size, and destination locality. It also supports the definition of multiple application types in terms of the different roles of each Traffic Generator (TG) comprising the application, each with its own statistical or deterministic traffic injection characteristics. Then, it allows for describing the placement of multiple occurrences of these applications on specific network hosts. Each said host may contain a different number of TGs of each role representing the application occurrence. Our proposal is inspired by the detailed traffic characteristics provided in [1] and the simulator code of [2] that was generously made available to us. We hope our contribution will start a process of open source development and contributions of common traffic benchmarks, that will advance DCN research. We call for more groups to contribute application types, with new traffic statistics as well as code to improve our current implementation. # Generator structure To determine the traffic pattern of every TG in the network we use the following terminology: topology, locality, application type, application occurrence, role and TG (that is a role occurrence). - Topology: The topology of the network is described hierarchically as a tree but may represent levels of proximity even on non-tree like topologies. The tree leaves are hosts, connected in racks, aggregated in clusters and finally to datacenters. - Application Type: This object represents a class of an application. For example: Web Cache, Map Reduce or Database. Its definition consists of a list of TG roles that represent the traffic types injected by the processes or threads of this application type. - Locality: A role definition includes locality distribution that determines the destinations that a TG of this role transmits to: intra-host, intra-rack, intra-cluster, intra- and inter-data center. - Characteristics: For each locality the role has a set of user-provided distribution functions that determine the traffic injection characteristics that TGs of this role produce. These characteristics are flow size, flow duration, messages size, inter arrival of next flow. - Application Occurrence: Is an instance of an application type and is defined by a list of TGs. - TG: A traffic generator which has a unique address, a location identifier (its host, rack, cluster, datacenter), and a role defined by its application type’s roles. # Limitations Traffic destinations are only classified by theor locaility, not by role. For example if you would like to say that 20% of the traffic of Cacheserver is going to the DB servers and the rest are to the Web servers you cannot do that. # Usage OMNeT++ simulations model should define a sub-class of the DCTrafficGen class and must provide at least these 2 virtual functions as they depand on the addressing scheme which is supposed to be simulation model specific: - The function creating a new message: cMessage * createMsg(unsigned int pktSize_B, unsigned int msgPackets,string dstAddr); - The function which registers the local address of the specific traffic generator virtual string getMyAddr(); Optionally one can define the emit_dstAddr method such that the vector of destinations will be filled. This also requires knowledge of the coding of addresses which is model dependant. The vector cannot track strings so a conversion to int or double is required... We denote that sub-class as TG, for short. Then the simulation model should instantiate a set of the TGs. At the given startTime the TG's start to send messages (returned from the createMsg) without any intervention. They also stop sending them at stopTime. NOTE: In order to avoid too fast generation the TG will generate a new message only after a "done" event was received for the previous one. # Installation ## DCTG library: - You must have an omnetpp >= 4.6 installed and its bin dir in your PATH - In the root directory run: make makefiles; make; make MODE=release - You should find the resulting lib in the out/gcc-release or out/gcc-debug src directory ## Demo project - cd into the directory dctg_example - run: make makefiles; make; make MODE=release - cd simulations - To simulate FBHadoop: ../out/gcc-debug/src/dctg_example -u Cmdenv -f omnetpp.ini -c Hadoop - To simulate FBFrontEnd: ../out/gcc-debug/src/dctg_example -u Cmdenv -f omnetpp.ini -c FrontEnd Enjoy :) # References [1] A. Roy, et al., “Inside the Social Network’s (Datacenter) Network,” in Proceedings of the 2015 SIGCOMM’15, pp. 123–137. [2] B. Montazeri, et al., “Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities,” in Proceedings of the 2018 SIGCOMM’18, pp. 221–235. # Authors {yuvals,eitan}@mellanox.com.

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