Sökning: "Johan Tordsson"
Visar resultat 1 - 5 av 16 avhandlingar innehållade orden Johan Tordsson.
1. Decentralized resource brokering for heterogeneous grid environments
Sammanfattning : The emergence of Grid computing infrastructures enables researchers to share resources and collaborate in more efficient ways than before, despite belonging to different organizations and being distanced geographically. While the Grid computing paradigm offers new opportunities, it also gives rise to new difficulties. LÄS MER
2. Portable Tools for Interoperable Grids : Modular Architectures and Software for Job and Workflow Management
Sammanfattning : The emergence of Grid computing infrastructures enables researchers to shareresources and collaborate in more efficient ways than before, despite belongingto different organizations and being geographically distributed. While the Gridcomputing paradigm offers new opportunities, it also gives rise to newdifficulties. LÄS MER
3. Capacity Scaling for Elastic Compute Clouds
Sammanfattning : AbstractCloud computing is a computing model that allows better management, higher utiliza-tion and reduced operating costs for datacenters while providing on demand resourceprovisioning for different customers. Data centers are often enormous in size andcomplexity. LÄS MER
4. Workload characterization, controller design and performance evaluation for cloud capacity autoscaling
Sammanfattning : This thesis studies cloud capacity auto-scaling, or how to provision and release re-sources to a service running in the cloud based on its actual demand using an auto-matic controller. As the performance of server systems depends on the system design,the system implementation, and the workloads the system is subjected to, we focuson these aspects with respect to designing auto-scaling algorithms. LÄS MER
5. Enabling Scalable Data Analysis on Cloud Resources with Applications in Life Science
Sammanfattning : Over the past 20 years, the rise of high-throughput methods in life science has enabled research laboratories to produce massive datasets of biological interest. When dealing with this "data deluge" of modern biology researchers encounter two major challenges: first, there is a need for substantial technical skills for dealing with Big Data and; second, infrastructure procurement becomes difficult. LÄS MER