Search for dissertations about: "Performance Analytics"

Showing result 1 - 5 of 47 swedish dissertations containing the words Performance Analytics.

  2. 1. Performance anomaly detection and resolution for autonomous clouds

    Author : Olumuyiwa Ibidunmoye; Erik Elmroth; Ewnetu Bayuh Lakew; Rolf Stadler; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Distributed Systems; Performance Management; Anomaly Detection; Quality of Service; Performance Analytics; Machine Learning; Computer Systems; datorteknik; business data processing; administrativ databehandling; Computer Science; datalogi;

    Abstract : Fundamental properties of cloud computing such as resource sharing and on-demand self-servicing is driving a growing adoption of the cloud for hosting both legacy and new application services. A consequence of this growth is that the increasing scale and complexity of the underlying cloud infrastructure as well as the fluctuating service workloads is inducing performance incidents at a higher frequency than ever before with far-reaching impact on revenue, reliability, and reputation. READ MORE

  4. 2. Orchestration Strategies for Slicing in 5G Networks : Design and Performance Evaluation

    Author : Muhammad Rehan Raza; Paolo Monti; Lena Wosinska; George Rouskas; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; software defined networking; network function virtualization; orchestration; dynamic slicing; 5G; big data analytics; reinforcement learning; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : The advent of 5th generation of mobile networks (5G) will introduce new challenges for the infrastructure providers (InPs). One of the major challenges is to provide a common platform for supporting a large variety of services. READ MORE

  5. 3. Performance Characterization and Optimization of In-Memory Data Analytics on a Scale-up Server

    Author : Ahsan Javed Awan; Eduard Ayguade; Mats Brorsson; Vladimir Vlassov; Lieven Eeckhout; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Workload Characterization; Big Data Analytics; Multicore Performance; Apache Spark; Near Data Processing; NUMA; Hyperthreading; Prefetchers; Coherently attached accelerators; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : The sheer increase in the volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark defines the state of the art in big data analytics platforms for (i) exploiting data-flow and in-memory computing and (ii) for exhibiting superior scale-out performance on the commodity machines, little effort has been devoted to understanding the performance of in-memory data analytics with Spark on modern scale-up servers. READ MORE

  6. 4. From data collection to electric grid performance : How can data analytics support asset management decisions for an efficient transition toward smart grids?

    Author : Sylvie Evelyne Koziel; Patrik Hilber; Per Westerlund; Ebrahim Shayesteh; Iordanis Koutsopoulos; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; asset management; data analytics; data management; distribution system operators; electrical power grid; machine learning; real-world datasets; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Physical asset management in the electric power sector encompasses the scheduling of the maintenance and replacement of grid components, as well as decisions about investments in new components. Data plays a crucial role in these decisions. READ MORE

  7. 5. Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms : An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations

    Author : Vasiliki Kalavri; Vladimir Vlassov; Alberto Montresor; KTH; []
    Keywords : performance optimization; data-intensive computing; big data; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Big data processing has recently gained a lot of attention both from academia and industry. The term refers to tools, methods, techniques and frameworks built to collect, store, process and analyze massive amounts of data. Big data can be structured, unstructured or semi-structured. READ MORE