You may complete your payment. Khan is a part-time lecturer at the UC Berkeley and the founder of MonoLets, Inc., Berkeley, CA, USA (email:oukhanberkeley.edu).Register online at the UCR National Registration System. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. Faculty and sponsors of the Berkeley Wireless Research Center.
![]() We advocate a novel approach to this challenge that draws inspiration from financial risk theory: leverage empirical data to generate a probabilistic model of network failures and maximize bandwidth allocation to network users subject to an operator-specified availability target (e.g., 99.9% availability). A key challenge is striking a good balance between network utilization and availability, as these are inherently at odds a highly utilized network might not be able to withstand unexpected traffic shifts resulting from link/node failures. By being incrementally deployable, our design is not just an interesting but unrealistic clean-slate design, but a step forward that is clearly within our reach.Abstract: To keep up with the continuous growth in demand, cloud providers spend millions of dollars augmenting the capacity of their wide-area backbones and devote significant effort to efficiently utilizing WAN capacity. By enabling both architectural evolution and architectural diversity, this would create a far more extensible Internet whose functionality is not defined by a single narrow waist, but by the union of many coexisting architectures. In this paper, we present HPCC (High Precision Congestion Control), a new high-speed CC mechanism which achieves the three goals simultaneously. From years of experience operating large scale and high-speed RDMA networks, we find the existing high-speed CC schemes have inherent limitations for reaching these goals. Technical Session 2: Transport and CongestionAbstract: Congestion control (CC) is the key to achieving ultra-low latency, high bandwidth and network stability in high-speed networks. Our results show that with TEAVAR, operators can support up to twice as much throughput as state-of-the-art TE schemes, at the same level of availability.Location: Garden Wing Ballroom, 1 st floor and Valley Wing Jade Room, 3 rd floor We compare TEAVAR to state-of-the-art TE solutions through extensive simulations across many network topologies, failure scenarios, and traffic patterns, including benchmarks extrapolated from Microsoft's WAN. We present TEAVAR (Traffic Engineering Applying Value at Risk), a system that realizes this risk management approach to traffic engineering (TE). Un Receiver Uc Berkeley Free Bandwidth WhileWe implement HPCC with commodity programmable NICs and switches. HPCC is also fair and easy to deploy in hardware. By addressing challenges such as delayed INT information during congestion and overreaction to INT information, HPCC can quickly converge to utilize free bandwidth while avoiding congestion, and can maintain near-zero in-network queues for ultra-low latency. These plugins can be transparently reviewed by external verifiers and hosts can refuse non-certified plugins. We propose Pluginized QUIC (PQUIC), a framework that enables QUIC clients and servers to dynamically exchange protocol plugins that extend the protocol on a per-connection basis. We base our work on QUIC, a new transport protocol that encrypts most of the header and all the payload of packets, which makes it almost immune to middlebox interference. In this paper, we revisit the extensibility paradigm of transport protocols. Experience with TCP shows that this leads to delays of several years or more to widely deploy standardized extensions. Most transport protocols evolve by negotiating protocol extensions during the handshake. We also show that these plugins can be combined to add their functionalities to a PQUIC connection.Abstract: Many applications in distributed systems rely on underlying lossless networks to achieve required performance. Our results show that plugins achieve expected behavior with acceptable overhead. We demonstrate the modularity of our proposal by implementing and evaluating very different plugins ranging from connection monitoring to multipath or Forward Erasure Correction. In this work, we explore a brand-new perspective to solve network deadlock: avoiding it hold and wait situation (another necessary condition). These solutions, however, impose many restrictions on network configurations and side-effects on performance. Existing deadlock avoidance solutions focus all their attentions on breaking the cyclic buffer dependency to eliminate circular wait (one necessary condition of deadlock). Once the system traps in a deadlock, a large part of network would be disabled. However, another crucial problem called network deadlock occurs concomitantly. We also present how to implement GFC in mainstream lossless networks (Converged Enhanced Ethernet and InfiniBand) with moderate modifications. We propose Gentle Flow Control (GFC) to manipulate the port rate at a fine granularity, so all ports can keep packets flowing even cyclic buffer dependency exists, and prove GFC can eliminate deadlock theoretically.
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