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pro vyhledávání: '"BERNSTEIN, PHILIP A."'
Fault-tolerance is critically important in highly-distributed modern cloud applications. Solutions such as Temporal, Azure Durable Functions, and Beldi hide fault-tolerance complexity from developers by persisting execution state and resuming seamles
Externí odkaz:
http://arxiv.org/abs/2412.13314
Autor:
Ghandeharizadeh, Shahram, Bernstein, Philip A., Borthakur, Dhruba, Huang, Haoyu, Menon, Jai, Puri, Sumit
Modern applications demand high performance and cost efficient database management systems (DBMSs). Their workloads may be diverse, ranging from online transaction processing to analytics and decision support. The cloud infrastructure enables disaggr
Externí odkaz:
http://arxiv.org/abs/2411.01269
Improving the performance and reducing the cost of cloud data systems is increasingly challenging. Data processing units (DPUs) are a promising solution, but utilizing them for data processing needs characterizing the new hardware and recognizing the
Externí odkaz:
http://arxiv.org/abs/2407.13658
This extended report presents DDS, a novel disaggregated storage architecture enabled by emerging networking hardware, namely DPUs (Data Processing Units). DPUs can optimize the latency and CPU consumption of disaggregated storage servers. However, u
Externí odkaz:
http://arxiv.org/abs/2407.13618
Autor:
Bernstein, Philip A.
This article is a summary of eight of Jim Gray's transaction papers. It was written at the invitation of Pat Helland to be a chapter of a forthcoming book in the ACM Turing Award winners' series, "Curiosity, Clarity, and Caring: How Jim Gray's Passio
Externí odkaz:
http://arxiv.org/abs/2310.04601
Redy is a cloud service that provides high performance caches using RDMA-accessible remote memory. An application can customize the performance of each cache with a service level objective (SLO) for latency and throughput. By using remote memory, it
Externí odkaz:
http://arxiv.org/abs/2112.12946
Autor:
Guo, Zhihan, Zeng, Xinyu, Wu, Kan, Hwang, Wuh-Chwen, Ren, Ziwei, Yu, Xiangyao, Balakrishnan, Mahesh, Bernstein, Philip A.
Two-phase commit (2PC) is widely used in distributed databases to ensure the atomicity of distributed transactions. However, 2PC has two limitations. First, it requires two eager log writes on the critical path, which incurs significant latency. Seco
Externí odkaz:
http://arxiv.org/abs/2102.10185
Window aggregates are ubiquitous in stream processing. In Azure Stream Analytics (ASA), a stream processing service hosted by Microsoft's Azure cloud, we see many customer queries that contain aggregate functions (such as MIN and MAX) over multiple c
Externí odkaz:
http://arxiv.org/abs/2008.12379
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