Sökning: "Disk Storage"

Visar resultat 1 - 5 av 50 uppsatser innehållade orden Disk Storage.

  1. 1. RocksDB Read Optimization Strategies for Streaming Applications

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Björkman Fredrik; [2023]
    Nyckelord :RocksDB; Data streams; Micro-batching; Data stream processing; read operation benchmark; Data stream workload simulation; RocksDB; Dataströmmar; Mikro-batching; Dataströmsprocessering; Läsoperationsmätresultat; Dataströmsarbetsbelastningssimulation;

    Sammanfattning : Modern stream processors rely on embedded key-value stores to manage state that accumulates over long-running computations and exceeds the available memory size. One of these key-value stores is RocksDB, which is widely used in many applications requiring high-performing storage with low latency. LÄS MER

  3. 2. High-Performing Cloud Native SW Using Key-Value Storage or Database for Externalized States

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Ahmed Sikh; Joel Axén; [2023]
    Nyckelord :cloud-native; externalized states; latency; simulator; Redis; PostgreSQL; moln-nativ; externaliserade tillstånd; latens; simulator; Redis; PostgreSQL;

    Sammanfattning : To meet the demands of 5G and what comes after, telecommunications companies will need to replace their old embedded systems with new technology. One such solution could be to develop cloud-native applications that offer many benefits but are less reliable than embedded systems. LÄS MER

  4. 3. A comparative analysis of log management solutions: ELK stack versus PLG stack

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Joakim Eriksson; Anawil Karavek; [2023]
    Nyckelord :ELK; PLG; Log management; Elasticsearch; Logstash; Kibana; Promtail; Loki; Grafana;

    Sammanfattning : Managing and analyzing large volumes of logs can be challenging, and a log management solution can effectively address this issue. However, selecting the right log management solution can be a daunting task, considering various factors such as desired features and the solution's efficiency in terms of storage and resource usage. LÄS MER

  5. 4. Compression Selection for Columnar Data using Machine-Learning and Feature Engineering

    Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Douglas Persson; Ludvig Juelsson Larsen; [2023]
    Nyckelord :Machine Learning; XGBoost; Classification; Feature Engineering; Compression Algorithms; Data Encodings; Database Management System DBMS ; Column- Oriented DBMS;

    Sammanfattning : There is a continuously growing demand for improved solutions that provide both efficient storage and efficient retrieval of big data for analytical purposes. This thesis researches the use of machine-learning together with feature engineering to recommend the most cost-effective compression algorithm and encoding combination for columns in a columnar database management system (DBMS). LÄS MER

  7. 5. Cloud-native storage solutions for Kubernetes : A performance comparison

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Filip Andersson; [2023]
    Nyckelord :Kubernetes; distributed storage; storage performance; benchmark; cloud-native; bandwidth; latency; IOPS;

    Sammanfattning : Kubernetes is a container orchestration system that has been rising in popularity in recent years. The modular nature of Kubernetes allows the usage of different storage solutions, and for cloud environments, cloud-native distributed storage solutions maybe attractive due to their redundant nature. LÄS MER