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Data-parallel jobs transfer massive amounts of data between a series of successive stages. The coflow abstraction is proposed to represent a group of parallel flows between two stages and efficiently improves stage-level performance. However, state-of-the-art coflow scheduling techniques are agnostic to the jobs' inter-coflow semantics and thus are suboptimal in reducing the average job completion...
RAM-based storage aggregates the RAM of servers in data center networks (DCN) to provide extremely high storage performance. For quick recovery of storage server failures, Mem-Cube [1] exploits the proximity of the BCube network to limit the recovery traffic to the recovery servers' 1-hop neighborhood. However, previous design is applicable only to BCube, and has suboptimal recovery performance due...
RAM-based storage aggregates the RAM of thousands of commodity servers in data center networks (DCN) to provide extremely low I/O latency and high I/O throughput. In order to achieve fast failure recovery, MemCube exploits network proximity to restrict failure detection and recovery within 1-hop range. However, previous design is applicable only to the BCube network, which limits the usage of RAM-based...
Replica value determination plays an important role in the problem of replication in data grid, since only replicating high value replicas can improve the replication efficiency. However, replica value determination methods applied now do not perform well, because they cannot well adapt to the changes of file access patterns. We address this problem by introducing a new replica value determination...
The extremely wide band of UWB and the weak receiving signal of Tactical Air navigation system (TACAN) airborne devices make it possible to affect characteristics of TACAN airborne receiver, while the low power of UWB makes it likely to be interfered. UWB EIRP masks made from different organizations and path loss models in various conditions are summarized, with which as a basis the interferences...
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