R Yanggratoke, G Kreitz, M Goldmann… - 2012 8th international …, 2012 - ieeexplore.ieee.org
We model and evaluate the performance of a distributed key-value storage system that is part of the Spotify backend. Spotify is an on-demand music streaming service, offering low …
We model and evaluate the performance of a distributed key-value storage system that is part of the Spotify backend. Spotify is an on-demand music streaming service, offering low …
The emergence of large-scale Internet services coupled with the evolution of computing technologies such as distributed systems, parallel computing, utility computing, grid, and …
We introduce Ensemble, a runtime framework and associated tools for building application performance models on-the-fly. These dynamic performance models can be used to support …
R Erdei, L Toka - Journal of Network and Systems Management, 2023 - Springer
With the continuous progress of cloud computing, many microservices and complex multi- component applications arise for which resource planning is a great challenge. For …
The rapid growth of virtualized data centers and cloud hosting services is making the management of physical resources such as CPU, memory, and I/O bandwidth in data center …
L Tomás, J Tordsson - Proceedings of the 2013 ACM Cloud and …, 2013 - dl.acm.org
Despite the potential given by the combination of multi-tenancy and virtualization, resource utilization in today's data centers is still low. We identify three key characteristics of cloud …
Horizontally scalable Internet services present an opportunity to use automatic resource allocation strategies for system management in the datacenter. In most of the previous work …
P Sareen, P Kumar, TD Singh - International Journal of …, 2015 - scholar.archive.org
Cloud computing is an attractive computing model since it allows for the provision of resources on-demand. Such a process of allocation and reallocation of resources is thekey …