Sökning: "MapReduce"
Visar resultat 1 - 5 av 33 uppsatser innehållade ordet MapReduce.
1. Jämförelser av MySQL och Apache Spark : För aggregering av smartmätardata i Big Data format för en webbapplikation
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Smarta elmätare är ett område som genererar data i storleken Big Data. Dessa datamängder medför svårigheter att hanteras med traditionella databaslösningar som MySQL. Ett ramverk som uppstått för att lösa dessa svårigheter är Apache Spark som implementerar MapReduce-modellen för klustrade nätverk av datorer. LÄS MER
2. Performance Comparison Study of Clusters on Public Clouds
Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Sammanfattning : As cloud computing has become the more popular choice to host clusters in recent times there are multiple providers that offer their services to the public such as Amazon web services, Google cloud platform and Microsoft Azure. The decision of cluster provider is not only a decision of provider, it is also an indirect decision of cluster infrastructure. LÄS MER
3. Sort Merge Buckets: Optimizing Repeated Skewed Joins in Dataflow
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The amount of data being generated and consumed by today’s systems and applications is staggering and increasing at a vertiginous rate. Many businesses and entities rely on the analysis and the insights gained from this data to deliver their service. LÄS MER
4. Performance Prediction for Enabling Intelligent Resource Management on Big Data Processing Workflows
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Mobile cloud computing offers an augmented infrastructure that allows resource-constrained devices to use remote computational resources as an enabler for highly intensive computation, thus improving end users experience. Being able to efficiently manage cloud elasticity represents a big challenge for dynamic resource scaling on-demand. LÄS MER
5. Big Data Types : Internally Parallel in an Actor Language
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Around year 2005 the hardware industry hit a power wall. It was no longer possible to drastically increasing computer performance through decreasing the transistors' size or increasing the clock-speed of the CPU. To ensure future development multi-core processors became the way to go. LÄS MER