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Memory access is so much faster than disk I/O that many of us expect to gain striking performance advantages by merely deploying a distributed in-memory cluster and start reading data from it. However, sometimes we overlook the fact that a network interconnects cluster nodes with our applications, and it can quickly diminish the positive effects of having an in-memory cluster if a lot of data …
SGX can reduce the network roundtrips between the client and server and enrich the database functions in the encrypted domain. Fuhry et al. [13] proposed HardIDX that organises database index in a B+-tree structure and utilises enclave to traverse a subset of the tree nodes to do searches. Later, Mishra, The final Wasm code is laser-fast because we save the roundtrips to a search-server. The instant feedback loop feels more like filtering a list than searching through files. It can even work fully offline, which might be nice if you like to bundle it with an app. ?? Comments on Hacker News, Reddit – Rust, Reddit – Programming.
Dynamic Searchable Encryption with Small Client Storage Ioannis Demertzis , Javad Ghareh Chamaniyz, Dimitrios Papadopoulosyand Charalampos Papamanthou University of Maryland yHong Kong University of Science and Technology zSharif University of Technology.
The following are 30 code examples for showing how to use numpy.cdouble().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don’t like, and go to the original project or source file by following the links above each example.
Query Future allow to reduce database roundtrips by batching multiple queries in the same sql command. All future queries are stored in a pending list. When the first future query require a database roundtrip, all queries are resolved in the same sql command instead of making a database roundtrip for every sql command. Support: Future, You can write a book review and share your experiences. Other readers will always be interested in your opinion of the books you’ve read. Whether you’ve loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them.
Pipelining is not just a way in order to reduce the latency cost due to the round trip time, it actually improves by a huge amount the total operations you can perform per second in a given Redis server. This is the result of the fact that, without using pipelining, serving each command is very cheap from the point of view of accessing the data …
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