Sökning: "overhead tasks"
Visar resultat 1 - 5 av 55 uppsatser innehållade orden overhead tasks.
1. Efficiently Solving the Exact Cover Problem in OpenMP
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : The exact cover problem is an NP-complete problem with many widespread use cases such as crew scheduling, railway scheduling, benchmarking as well as having applications in set theory. Existing algorithms can be slow when dealing with large datasets however. LÄS MER
2. IoT as Fog Nodes: An Evaluation on Performance and Scalability
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : I takt med den exponentiella tillväxten av Internet of Things (IoT) har utmaningen att hantera den enorma mängden genererade data blivit allt större. Denna studie undersöker paradigmen med distribuerade dimdatorer, där kostnadseffektiva IoT-enheter används som dimnoder, som en potentiell lösning på de utmaningarna som det centraliserade molnet står inför. LÄS MER
3. Optimizing Consensus Protocols with Machine Learning Models : A cache-based approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Distributed systems offer a reliable and scalable solution for tackling massive and complex tasks that cannot be handled by a single computer. However, standard consensus protocols used in such systems often replicate data without considering the workload, leading to unnecessary retransmissions. LÄS MER
4. "Almas alla vägar" : En UTAUT-analys av Bibliotekssystemet på Umeå Universitetsbibliotek
Kandidat-uppsats, Umeå universitet/Sociologiska institutionenSammanfattning : Library management systems (LMS) are a big part of the workday for most librarians. Everything from acquisitions, managing e-resources and circulation work is done through these kinds of systems. Umeå university library implemented a new LMS called Alma back in 2018. They moved from a local system to a more complex and advanced cloud-based system. LÄS MER
5. Performance Evaluation of Kotlin Multiplatform Mobile and Native iOS Development in Swift
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Today's mobile development resides in the two main operating systems Android and iOS. It is popular to develop mobile applications individually for each respective platform, referred to as native development. To reduce additional costs, cross-platform solutions have emerged that enable shared development for both platforms. LÄS MER