Essays about: "Mobile Cluster"
Showing result 1 - 5 of 32 essays containing the words Mobile Cluster.
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1. Counterfeit product grouping - a cluster ensemble approach
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. READ MORE
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2. Enhancing the performance of mobile networks using Kubernetes : Load balancing traffic by utilizing workload estimation
University essay from Linköpings universitet/Databas och informationsteknikAbstract : As global mobile network usage increases rapidly and users demand lower latency, the importance of stable 5G networks is more critical than ever. One way to orchestrate mobile network backends is by using Kubernetes. READ MORE
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3. Access Point Selection and Clustering Methods with Minimal Switching for Green Cell-Free Massive MIMO Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As a novel beyond fifth-generation (5G) concept, cell-free massive MIMO (multiple-input multiple-output) recently has become a promising physical-layer technology where an enormous number of distributed access points (APs), coordinated by a central processing unit (CPU), cooperate to coherently serve a large number of user equipments (UEs) in the same time/frequency resource. However, denser AP deployment in cell-free networks as well as an exponentially growing number of mobile UEs lead to higher power consumption. READ MORE
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4. Designing an Interactive tool for Cluster Analysis of Clickstream Data
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : The purpose of this study was to develop an interactive tool that enables identification of different types of users of an application based on clickstream data. A complex hierarchical clustering algorithm tool called Recursive Hierarchical Clustering (RHC) was used. READ MORE
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5. Machine Learning for Cloud: Modeling Cluster Health using Usage Parameters
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Cloud computing platforms lie at the very heart of today’s mobile and web-based applications. Cloud service providers must satisfy computational performance agreed through service level agreements (SLA) and simultaneously keep their operational costs, clusters health, and other cloud parameters within acceptable ranges in order to achieve business success. READ MORE