AuthorsN. Mohebi and F. Zahid
TitleTowards Realistic Simulations of Arbitrary Cross-Cloud Workloads
AfilliationCommunication Systems
Project(s)MELODIC: Multi-cloud Execution-ware for Large-scale Optimised Data-Intensive Computing
StatusAccepted
Publication TypeProceedings, refereed
Year of Publication2019
Conference NameThe International Workshop on Recent Advances for Multi-Clouds and Mobile Edge Computing (M2EC) held in conjunction with 33rd International Conference on Advanced Information Networking and Applications (AINA 2019)
Abstract

Over the last few years, Cloud computing has established itself as a popular computing paradigm. Thanks to the ease of deployments, elastic resource provisioning, high-availability, and an attractive pay-as-you-go economic model, clouds offer significant advantages over traditional cluster computing architectures. More recently, Multi-Cloud solutions have also been explored to take advantage of the most suitable public cloud offerings as well as to tackle vendor lock-in.

The research undertakings in cloud often require designing new algorithms, techniques, and solutions requiring large-scale cloud deployments for comprehensive evaluation. Simulations make a powerful and cost-effective tool for testing, evaluation, and repeated experimentation for new cloud algorithms. Unfortunately, even though cloud federation and hybrid cloud simulations are explored in the literature, Cross-Cloud simulations are still largely an unsupported feature in most popular cloud simulation frameworks. In this paper, we present a Cross-Cloud simulation framework, which makes it possible to test scheduling and reasoning algorithms on Cross-Cloud deployments with arbitrary workload. The support of Cross-Cloud simulations, where individual application components are allowed to be deployed on different cloud platforms, can be a valuable asset in selecting appropriate mixture of cloud services for the applications. We also implement a Cross-Cloud aware reasoner using our Cross-Cloud simulation framework. Simulations using both simple applications and complex multi-stage workflows show that the Cross-Cloud aware reasoner can substantially save cloud usage costs for most multi-component cloud applications.

Citation Key26333