Oasis: Performance Matching IoT System Emulation
- Resource Type
- Conference
- Authors
- Alipour, Navid; Wang, Mea; Krishnamurthy, Diwakar
- Source
- 2021 IEEE 14th International Conference on Cloud Computing (CLOUD) CLOUD Cloud Computing (CLOUD), 2021 IEEE 14th International Conference on. :378-386 Sep, 2021
- Subject
- Computing and Processing
Performance evaluation
Cloud computing
Scalability
Emulation
Tools
Containers
Hardware
- Language
- ISSN
- 2159-6190
Internet of Things (IoT) and its applications are proliferating. Performance and scalability are key aspects of an IoT system. A scalable IoT system can gracefully accommodate a growth in the number of IoT devices while still meeting performance requirements. This motivates the need for tools that allow the performance and scalability of an IoT system to be evaluated prior to deployment. Implementing the actual system at full scale and then evaluating it through measurements is ideal from the point of view of realism. However, such an approach can be expensive and inflexible. Emulating an IoT deployment on commodity hardware is an attractive alternative since it allows various system design alternatives to be evaluated in a flexible way without the need for expensive full scale implementations of the alternatives. Recently, many such IoT emulation platforms have been proposed. However, none of these platforms are appropriate for performance and scalability testing since they do not provide a mechanism to match the performance characteristics of the IoT devices being emulated. We present Oasis, a system that addresses this limitation. Oasis uses Docker containers to emulate IoT devices. It leverages Docker's resource allocation and network emulation capabilities to match the performance characteristics of an emulated device to that of its native counterpart. We also show that the ability to accurately match performance improves scalability as well.