Search for dissertations about: "Olumuyiwa Ibidunmoye"

Found 2 swedish dissertations containing the words Olumuyiwa Ibidunmoye.

  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. Performance problem diagnosis in cloud infrastructures

    Author : Olumuyiwa Ibidunmoye; Erik Elmroth; Guilliano Casale; Viktoria Fodor; Henrik Björklund; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Systems Performance; Performance anomalies; Performance bottlenecks; Cloud infrastructures; Cloud Computing; Cloud Services; Cloud Computing Performance; Performance problems; Performance anomaly detection; Performance bottleneck identification; Performance Root-cause Analysis; Computer Systems; datorteknik; Computer Science; datalogi;

    Abstract : Cloud datacenters comprise hundreds or thousands of disparate application services, each having stringent performance and availability requirements, sharing a finite set of heterogeneous hardware and software resources. The implication of such complex environment is that the occurrence of performance problems, such as slow application response and unplanned downtimes, has become a norm rather than exception resulting in decreased revenue, damaged reputation, and huge human-effort in diagnosis. READ MORE