Essays about: "Cloud"

Showing result 1 - 5 of 1037 essays containing the word Cloud.

  1. 1. Developing Random Compaction Strategy for Apache Cassandra database and Evaluating performance of the strategy

    University essay from Blekinge Tekniska Högskola

    Author : Roop Sai Surampudi; [2021]
    Keywords : Apache Cassandra; Compaction; Random Probability Distributions; IBM Cloud; NoSQL databases;

    Abstract : Introduction: Nowadays, the data generated by global communication systems is enormously increasing.  There is a need by Telecommunication Industries to monitor and manage this data generation efficiently. Apache Cassandra is a NoSQL database that manages any formatted data and a massive amount of data flow efficiently. READ MORE

  2. 2. Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Zannatun Nayem Tania; [2021]
    Keywords : Data Privacy; Resource Management; Machine Learning; Fitbit; Internet of Things IoT ; Optimization; Dataintegritet; Resurshantering; Machine Learning; Fitbit; Internet of Things IoT ; Optimering;

    Abstract : Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are often constrained by limited resources. READ MORE

  3. 3. Performance Evaluation of OpenStack with HTTP/3

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Ivaturi Venkata Harish Kumar; [2021]
    Keywords : Web protocols; Transport protocols; Web servers; Service performance; Cloud; Networking;

    Abstract : In today’s technology industry, cloud refers to servers which can be accessed viainternet, and the software and database applications run on the servers [22]. Whereas cloud computing is a concept of delivering the IT resources via internet which is accessed by the users and companies. READ MORE

  4. 4. Predictive vertical CPU autoscaling in Kubernetes based on time-series forecasting with Holt-Winters exponential smoothing and long short-term memory

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Thomas Wang; [2021]
    Keywords : Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resource Provisioning; Autoscaling; Predictive scaling; CPU Usage; Seasonality; Exponential Smoothing; Long short-term memory; Time-series Analysis; Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resursförsörjning; Autoskalning; prediktiv skalning; CPU Användning; Säsongsmässighet; Exponentiell utjämning; långt korttidsminne; tidsserieanalys;

    Abstract : Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application’s run-time requirements, but only help the cloud infrastructure resource manager to map requested virtual resources to physical resources. READ MORE

  5. 5. Encoder-Decoder Networks for Cloud Resource Consumption Forecasting

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sami Mejdi; [2021]
    Keywords : Telecommunications; Cloud; Time Series; Forecasting; Encoder-Decoder; Deep Learning; Machine Learning; Telekommunikation; Moln; Tidsserie; Prognoser; Envoder-Decoder; Djupinlärning; Maskininlärning;

    Abstract : Excessive resource allocation in telecommunications networks can be prevented by forecasting the resource demand when dimensioning the networks and the allocation the necessary resources accordingly, which is an ongoing effort to achieve a more sustainable development. In this work, traffic data from cloud environments that host deployed virtualized network functions (VNFs) of an IP Multimedia Subsystem (IMS) has been collected along with the computational resource consumption of the VNFs. READ MORE