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On the service placement in community network micro-clouds
| Content Provider | Semantic Scholar |
|---|---|
| Author | Selimi, Mennan |
| Copyright Year | 2017 |
| Abstract | Community networks (CNs) have gained momentum in the last few years in response to the growing demand for network connectivity in rural and urban areas. These networks, owned and managed by volunteers, offer various services to their members. While Internet access is the most popular service offered to their members, the provision of services of local interest within the network is enabled by the emerging technology of CN micro-clouds. By putting services closer to users, CN micro-clouds pursue not only an improved service performance, but also a low entry barrier for the deployment of alternatives to mainstream Internet services within the CN. Unfortunately, the provisioning of the services is not so simple. Due to the large and irregular topology, high software and hardware diversity and different service requirements in CNs, a "careful" placement of micro-cloud services over the network is required. First, in order to understand the micro-cloud service requirements for a successful operation in CNs, we perform deployment, feasibility analysis and in-depth performance assessment of popular CN micro-cloud services such as distributed storage, live video-streaming and service discovery. We characterize and define workload upper bounds for successful operations of such services and perform cross-layer analysis and optimizations to improve the service performance. This deployment experience supports the feasibility of CN micro-clouds and our measurements contribute to understand the performance of services and applications in this challenging environment. Then, in order to improve the performance of the services on the network level over which a service host provides a service to client nodes, it is necessary to adapt the logical network topology to both external (e.g., wireless connectivity, node availability) and internal (e.g., service copies, service demand) factors. To achieve this, we propose to leverage state information about the network to inform service placement decisions, and to do so through an i) exploratory algorithm PASP (Policy-aware Service Placement) that minimizes the service overlay diameter, while fulfilling service specific criteria and ii) through a fast and low-complexity service placement heuristic BASP (Bandwidth and Availability-aware Service Placement), which maximizes bandwidth between nodes and improves user QoS. Our results show that PASP and BASP consistently outperform the existing in-place strategies in the Guifi.net CN, with respect to bandwidth, availability and latency when used with real CN micro-cloud services. Since this improvement translates in the QoE (Quality of Experience) perceived by the user, our results are relevant for contributing to higher QoE, a crucial parameter for using services from volunteer-based systems. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.gsd.inesc-id.pt/~lveiga/papers/MennanSelimi_CAT.pdf |
| Alternate Webpage(s) | http://people.ac.upc.edu/mselimi/thesis/priv/MennanSelimi_FinalThesis.pdf |
| Alternate Webpage(s) | https://upcommons.upc.edu/bitstream/handle/2117/108504/TMeSe1de1.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
