Benchmarking Peer-to-Peer Systems: Understanding Quality of by Wolfgang Effelsberg, Ralf Steinmetz, Thorsten Strufe

By Wolfgang Effelsberg, Ralf Steinmetz, Thorsten Strufe

Peer-to-peer structures are actually widespread and became the focal point of cognizance for plenty of researchers over the last decade. a few algorithms for decentralized seek, content material distribution, and media streaming were built. This ebook presents basic recommendations for the benchmarking of these algorithms in peer-to-peer structures. It additionally incorporates a selection of attribute benchmarking effects. The chapters of the booklet were equipped in 3 topical sections on: basics of Benchmarking in P2P platforms; artificial Benchmarks for Peer-to-Peer platforms; and alertness Benchmarks for Peer-to-Peer platforms. they're preceded via a close creation to the subject.

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Also, due to high abstractions of the workload and the environment, a large number (up to hundreds of thousands) of peers can be simulated. This makes network simulators a useful workbench for analyzing scalability properties of peer-to-peer systems. But this also means that details of the underlay might get lost compared to testbeds. The workbench has to be chosen according to the benchmarking requirements, otherwise results might be compromised and not representative. As already mentioned above, simulations are needed for analyzing scalability properties of peer-topeer systems in most cases.

Access points, routers, etc. The underlay network is characterized by the geographic locations of the hosts, network topology, host mobility, connection bandwidth, communication delay, packet loss, and jitter. Similar to the hardware of a host, different levels of abstraction for the underlay network are introduced as well. Three examples for such levels can be as follows: 1. Simple mesh topology or LAN-like underlay network. This abstraction can be used if network properties do not influence the system under test.

The workload-independent quality aspects are derived from the domain of computer performance analysis, and are used to measure the non-functional requirements. However, peer-to-peerspecific quality aspects are not measurable with those alone, which is why we introduced the workload-dependent quality aspects. To point out the peculiarities of the workload generation in peer-to-peer systems, we provided a detailed overview of how to approach this topic. Just like in the 2 Direct Code Execution with ns-3.

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