Developing, simulating, and deploying peer-to-peer systems using the Kompics component model

Arad, Cosmin; Dowling, Jim; Haridi, Seif

doi:10.1145/1621890.1621911

Cited by 18 publications

(12 citation statements)

References 20 publications

(15 reference statements)

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“…In this section, we evaluate the performance of CLIVE using KOMPICS [31], a framework for building P2P protocols that provides a discrete event simulator for testing the protocols using different bandwidth, latency and churn scenarios.…”

Section: Methodsmentioning

confidence: 99%

CLive: Cloud-assisted P2P live streaming

Payberah

Kavalionak

Kumaresan

et al. 2012

2012 IEEE 12th International Conference on Peer-to-Peer Computing (P2P)

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Abstract-Peer-to-peer (P2P) video streaming is an emerging technology that reduces the barrier to stream live events over the Internet. Unfortunately, satisfying soft real-time constraints on the delay between the generation of the stream and its actual delivery to users is still a challenging problem. Bottlenecks in the available upload bandwidth, both at the media source and inside the overlay network, may limit the quality of service (QoS) experienced by users. A potential solution for this problem is assisting the P2P streaming network by a cloud computing infrastructure to guarantee a minimum level of QoS. In such approach, rented cloud resources (helpers) are added on demand to the overlay, to increase the amount of total available bandwidth and the probability of receiving the video on time. Hence, the problem to be solved becomes minimizing the economical cost, provided that a set of constraints on QoS is satisfied. The main contribution of this paper is CLIVE, a cloud-assisted P2P live streaming system that demonstrates the feasibility of these ideas. CLIVE estimates the available capacity in the system through a gossip-based aggregation protocol and provisions the required resources from the cloud to guarantee a given level of QoS at low cost. We perform extensive simulations and evaluate CLIVE using large-scale experiments under dynamic realistic settings.

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Section: Methodsmentioning

confidence: 99%

CLive: Cloud-assisted P2P live streaming

Payberah

Kavalionak

Kumaresan

et al. 2012

2012 IEEE 12th International Conference on Peer-to-Peer Computing (P2P)

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“…We implemented USurp as a message-level simulator using the Kompics platform [1]. Kompics provides a framework for building P2P protocols, and simulation support using a discrete event simulator.…”

Section: Methodsmentioning

confidence: 99%

Usurp: Distributed NAT Traversal for Overlay Networks

Niazi¹,

Dowling²

2011

Distributed Applications and Interoperable Systems

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“…We implemented Gozar, Cyclon, Nylon and ARRG on the Kompics platform [1]. Kompics provides a framework for building P2P protocols and a discrete event simulator for simulating them using different bandwidth, latency and churn models.…”

Section: Experiments Setupmentioning

confidence: 99%

Gozar: NAT-Friendly Peer Sampling with One-Hop Distributed NAT Traversal

Payberah

Dowling

Haridi

2011

Distributed Applications and Interoperable Systems

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Abstract. Gossip-based peer sampling protocols have been widely used as a building block for many large-scale distributed applications. However, Network Address Translation gateways (NATs) cause most existing gossiping protocols to break down, as nodes cannot establish direct connections to nodes behind NATs (private nodes). In addition, most of the existing NAT traversal algorithms for establishing connectivity to private nodes rely on third party servers running at a well-known, public IP addresses. In this paper, we present Gozar, a gossip-based peer sampling service that: (i) provides uniform random samples in the presence of NATs, and (ii) enables direct connectivity to sampled nodes using a fully distributed NAT traversal service, where connection messages require only a single hop to connect to private nodes. We show in simulation that Gozar preserves the randomness properties of a gossip-based peer sampling service. We show the robustness of Gozar when a large fraction of nodes reside behind NATs and also in catastrophic failure scenarios. For example, if 80% of nodes are behind NATs, and 80% of the nodes fail, more than 92% of the remaining nodes stay connected. In addition, we compare Gozar with existing NAT-friendly gossip-based peer sampling services, Nylon and ARRG. We show that Gozar is the only system that supports one-hop NAT traversal, and its overhead is roughly half of Nylon's.

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Developing, simulating, and deploying peer-to-peer systems using the Kompics component model

Cited by 18 publications

References 20 publications

CLive: Cloud-assisted P2P live streaming

CLive: Cloud-assisted P2P live streaming

Usurp: Distributed NAT Traversal for Overlay Networks

Gozar: NAT-Friendly Peer Sampling with One-Hop Distributed NAT Traversal

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