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File transfers between the decentralized storage sites over dedicated wide-area connections are becoming increasingly important in high-performance computing and big data scenarios. Designing such scientific workflows for large file transfers is extremely challenging as they depend on the file, I/O, host, and local- and wide-area network subsystems, and their interactions. To gain insights into file-transfer...
The network infrastructures have been rapidly upgraded in many high-performance networks (HPNs). However, such infrastructure investment has not led to corresponding performance improvement in big data transfer, especially at the application layer, largely due to the complexity of optimizing transport control on end hosts. We design and implement ProbData, a PRofiling Optimization Based DAta Transfer...
Dedicated wide-area network connections are increasingly employed in high-performance computing and big data scenarios. One might expect the performance and dynamics of data transfers over such connections to be easy to analyze due to the lack of competing traffic. However, non-linear transport dynamics and end-system complexities (e.g., multi-core hosts and distributed filesystems) can in fact make...
File transfers over dedicated connections, supported by large parallel file systems, have become increasingly important in high-performance computing and big data workflows. It remains a challenge to achieve peak rates for such transfers due to the complexities of file I/O, host, and network transport subsystems, and equally importantly, their interactions. We present extensive measurements of disk-to-disk...
Wide-area data transfers in high-performance computing and big data scenarios are increasingly being carried over dedicated network connections that provide high capacities at low loss rates. UDP-based transport protocols are expected to be particularly well-suited for such transfers but their performance is relatively unexplored over a wide range of connection lengths, compared to TCP over shared...
Targeting real-time encryption/decryption of high speed data communication, this paper proposes an FPGA-based high throughput AES design. The critical functions involved in AES are broken into elementary logic operations to gain the deep insight into the performance bottleneck. With respect to FPGA structures, a datapath with two balanced pipeline stages is determined for each of the encryption/decryption...
Rate adaptation is one of the key factors to improve the performance of the link layer of IEEE 802.11 WLAN. Yet most of the existing rate adaptation policies and algorithms do not consider the effect of the losses due to collisions. To mitigate the effect of collisions, a rate adaptation scheme based on the receiver's SNR is proposed in this paper. It reflects the link condition correctly even when...
Optimal routing in wireless mesh networks is a challenging problem considering inter- and intra-flow interference. To solve the problem, first, we define a new routing metric, expected path bandwidth (EPBW), where the varying link rate (due to wireless channel quality) and the dynamic link load (considering the inter- and intra-flow interference) have been considered to estimate EPBW accurately. Second,...
Due to the increasing performance requirements of wireless access services, adaptive interference resistant routing is crucial for providing reliable access and high bandwidth services via wireless mesh networks. In this letter, we propose an improved method for situation-aware routing, which extends the existing routing protocols via a refined situation-aware routing metric and a greedy load-balancing...
In this work, we explore heterogeneous computing hardware, including CPUs, GPUs and FPGAs, for scientific computing. We study system metrics such as throughput, energy efficiency and temperature, and formulate the problem of workload allocation among computing hardware in mathematical models with regards to the three metrics. The workload allocation approach is evaluated using Linpack on a hardware...
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