The agenda is as follows:

Peer-to-Peer systems become popular applications but suffer from insufficient resource availability which is caused by free-riders and inefficient lookup algorithms. To address the first cause, a number of recent works have focused on providing appropriate incentive  mechanisms to encourage participants to contribute their resources to the P2P systems. To improve the lookup efficiency, locality-awareness has been introduced into the research community. However, existing proposals attempt to optimize the service performance during the data transmission period mostly after performing the neighboring lookup, which cannot address the fundamental concern of reducing lookup traffic. Therefore, this paper proposes interest-based peer-to-peer management (IPM) protocol to facilitate the peering lookup. Our design philosophy differs from existing work that IPM is a client-only approach and can be represented as either an alternative or a complementary to current proposals. With additional locality-awareness considerations, IPM can reduce the lookup overhead while optimizing the system performance.
The simulation results essentially state that IPM can largely improve the efficiency and reliability of P2P media distribution systems through reducing control overhead by 50% on average and reduces average packet loss rate up to 34.7%.

It is well-known that wireless links are error-prone
and require retransmissions for recovering frames from errors and losses. Network coding (NC) has been proposed for more efficient MAC-layer retransmissions in WLANs. However, existing  schemes employed the reception report mechanism, which is both  inefficient and expensive. Furthermore, they considered neither  fairness nor the effects of time-varying heterogeneous wireless  networks. These issues are critical for achieving full benefit  of network coding. Without addressing them, these schemes  may even impair system performance. In this paper, a novel  MAC-layer retransmission scheme, namely XOR Rescue(XORR)  is proposed. It estimates the reception status without extra  overheads and devises a new coding metric, which accommodates  the effects of the frames size and the channel condition. Finally,  XORR employs NC-aware fair opportunistic scheduling, which  is theoretically proven to be fair, i.e. not only the service time is  evenly allocated, but also it always improves the expected goodput for every wireless station. It is further verified by theoretic analyses, extensive simulations and testbed experiments. Our results show that XORR outperforms the non-coding fair opportunistic scheduling and 802.11 by 25% and 40%, respectively.


After the meeting, we will continue in a more informal and relaxed atmosphere on the roof terrace.