Essays about: "Distribuerad databas"
Showing result 1 - 5 of 15 essays containing the words Distribuerad databas.
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1. External Streaming State Abstractions and Benchmarking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Distributed data stream processing is a popular research area and is one of the promising paradigms for faster and efficient data management. Application state is a first-class citizen in nearly every stream processing system. Nowadays, stream processing is, by definition, stateful. READ MORE
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2. Comparison of State Backends for Modern Stream Processing System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Distributed Stream Processing is a very popular computing paradigm used invarious modern computer systems. An important aspect of distributed streamprocessing systems is how they deal with computation state bigger than thesystem memory. READ MORE
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3. Modelling and Analysis of Swedish Heavy Industry Supply Chain Data Management to Improve Efficiency and Security
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Product certificates are sent throughout the supply chain of Swedish heavy industry in order to show provenance and physical characteristics of objects such as screws. The data management of the certificates has been, and still is, a very manual process. The process requires extensive work in order to maintain a correct record of the certificates. READ MORE
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4. Dynamic First Match : Reducing Resource Consumption of First Match Queries in MySQL NDB Cluster
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Dynamic First Match is a learned heuristic that reduces the resource consumption of first match queries in a multi-threaded, distributed relational database, while having a minimal effect on latency. Traditional first match range scans occur in parallel across all data fragments simultaneously. This could potentially return many redundant results. READ MORE
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5. Spark on Kubernetes using HopsFS as a backing store : Measuring performance of Spark with HopsFS for storing and retrieving shuffle files while running on Kubernetes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data is a raw list of facts and details, such as numbers, words, measurements or observations that is not useful for us all by itself. Data processing is a technique that helps to process the data in order to get useful information out of it. Today, the world produces huge amounts of data that can not be processed using traditional methods. READ MORE
