A General Performance and QoS Model for Distributed Software-Defined Environments
| Autor: | Moustafa AbdelBaky, Manish Parashar |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Distributed Computing Environment
Information Systems and Management Computer Networks and Communications business.industry Computer science Distributed computing Quality of service 020208 electrical & electronic engineering 020206 networking & telecommunications Cloud computing 02 engineering and technology Computer Science Applications Cost reduction Workflow Cyberinfrastructure Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Data center business Resilience (network) |
| Zdroj: | IEEE Transactions on Services Computing. 15:228-240 |
| ISSN: | 2372-0204 |
| DOI: | 10.1109/tsc.2019.2928300 |
| Popis: | The landscape for cloud services and cyberinfrastructure offerings has increased drastically over the past few years. Initially, users moved their applications to the cloud to take advantage of a pay-per-usage model and on-demand access. However, as more cloud providers joined the market, users shifted their goals for using cloud computing from cost reduction to resilience, agility, and optimization. These goals can be achieved by dynamically combining services from multiple providers, for example, to avoid data center or cloud zone outages or to take advantage of extensive offerings with different price points. However, to efficiently support application deployment in this dynamic environment, new models and tools that can measure the application performance and the Quality of Service (QoS) of different configurations are required. The goal of this work is to evaluate the application performance and the QoS of a distributed Software-Defined Environment as well as calculate the QoS of alternative configurations from the underlying pool of services. In particular, we present a mathematical model and a tool for evaluating the performance and QoS of batch application workflows in a distributed environment. We experimentally evaluate the proposed model using a bioinformatics workflow running on infrastructure services from multiple cloud providers. |
| Databáze: | OpenAIRE |
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