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Xin Jin
Researcher at Peking University
Publications - 64
Citations - 3369
Xin Jin is an academic researcher from Peking University. The author has contributed to research in topics: Network packet & Distributed data store. The author has an hindex of 21, co-authored 62 publications receiving 2398 citations. Previous affiliations of Xin Jin include Johns Hopkins University & Princeton University.
Papers
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Proceedings ArticleDOI
NetCache: Balancing Key-Value Stores with Fast In-Network Caching
Xin Jin,Xiaozhou Li,Haoyu Zhang,Robert Soulé,Jeongkeun Lee,Nate Foster,Changhoon Kim,Ion Stoica +7 more
TL;DR: This work presents NetCache, a new key-value store architecture that leverages the power and flexibility of new-generation programmable switches to handle queries on hot items and balance the load across storage nodes, and shows that it improves the throughput by 3-10x and reduces the latency of up to 40% of queries by 50%, for high-performance, in-memory key- value stores.
Proceedings ArticleDOI
SoftCell: scalable and flexible cellular core network architecture
TL;DR: The presented SoftCell is a scalable architecture that supports fine-grained policies for mobile devices in cellular core networks, using commodity switches and servers, and enables operators to realize high-level service policies that direct traffic through sequences of middleboxes based on subscriber attributes and applications.
Proceedings ArticleDOI
Dynamic scheduling of network updates
Xin Jin,Hongqiang Harry Liu,Rohan Gandhi,Srikanth Kandula,Ratul Mahajan,Ming Zhang,Jennifer Rexford,Roger Wattenhofer +7 more
TL;DR: Dionysus encodes as a graph the consistency-related dependencies among updates at individual switches, and it then dynamically schedules these updates based on runtime differences in the update speeds of different switches, which increases the system's speed.
Proceedings ArticleDOI
SketchVisor: Robust Network Measurement for Software Packet Processing
TL;DR: SketchVisor augments sketch-based measurement in the data plane with a fast path, which is activated under high traffic load to provide high-performance local measurement with slight accuracy degradations and recovers accurate network-wide measurement results via compressive sensing.
Proceedings Article
Netchain: scale-free sub-RTT coordination
Xin Jin,Xiaozhou Li,Haoyu Zhang,Nate Foster,Jeongkeun Lee,Robert Soulé,Changhoon Kim,Ion Stoica +7 more
TL;DR: NetChain exploits recent advances in programmable switches to store data and process queries entirely in the network data plane, and design new protocols and algorithms based on chain replication to guarantee strong consistency and to efficiently handle switch failures.