Sökning: "green computing"
Visar resultat 1 - 5 av 12 avhandlingar innehållade orden green computing.
1. Extraction and Energy Efficient Processing of Streaming Data
Sammanfattning : The interest in machine learning algorithms is increasing, in parallel with the advancements in hardware and software required to mine large-scale datasets. Machine learning algorithms account for a significant amount of energy consumed in data centers, which impacts the global energy consumption. LÄS MER
2. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining
Sammanfattning : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. LÄS MER
3. Cross-Layer Energy-Efficient Mobile Network Design
Sammanfattning : To assure the sustainable development of mobile networks, it is crucial to improve their energy efficiency. This thesis is devoted to the design of energy-efficient mobile networks. A cross-layer design approach is adopted. LÄS MER
4. Applied Machine Learning in District Heating System
Sammanfattning : In an increasingly applied domain of pervasive computing, sensing devices are being deployed progressively for data acquisition from various systems through the use of technologies such as wireless sensor networks. Data obtained from such systems are used analytically to advance or improve system performance or efficiency. LÄS MER
5. A Data-centric Internet of Things Framework Based on Public Cloud
Sammanfattning : The pervasive application of Internet of Things (IoT) has been seen in many aspects in human daily life and industrial production. The concept of IoT originates from traditional machine-to-machine (M2M) communications which aimed at solving domain-specific and applicationspecific problems. LÄS MER