Validation of IaaS-based Technologies for 5G-Ready Applications Deployment

Abstract

In an attempt to assess the suitability of current Infrastructure-as-a-Service (IaaS) technologies for fulfilling 5Gready applications requirements, this paper has exploited the CNIT S2N testbed to perform a validation over a complete 5G ecosystem. The testbed supports the telecom network platform developed within the MATILDA Project, which adopts the vanilla versions of the main reference projects/software suites in the 5G field, such as OpenStack and Open-Source MANO (OSM). By including such familiar technologies in the 5G ecosystem, vertical industries would interact with a familiar environment similar to today's scenarios, which would lower the barrier for creating 5Gready applications. However, results show that current solutions are blamable for around 99% of the deployment time of applications and network slices, a figure that bumps their lifecycle up to the order of magnitude of minutes proving them still not suitable to fulfill 5G requirements.

Multi-Site Resource Allocation in a QoS-Aware 5G Infrastructure

“…Although the referred study proposes an evaluation of the execution time for multiple slices, it is apparent that the order of magnitude is in the range of the seconds. As shown in this section and corroborated by the overall evaluation performed in [26], the contribution of the three RSO submodules stays in the ms range making it a valuable asset for a realistic deployment.…”

“…This paper proposes the Resource Selection Optimizer (RSO), a software-service in the MATILDA OSS [26] [27] that performs the selection of resources inside the virtual infrastructure and across the wide-area interconnected infrastructure. The three submodules composing the RSO, and the heuristics they enforce, aggregate the micro-service components of a vApp graph based on affinity (i.e., the delay, jitter, packet loss and throughput requirements between them), obtain a list of QoS-aware deployment options from the WIM, and selects the placement of the resulting reduced graph from this list based on the deployment costs, the number of μDCs involved and the utilization forecasts in the μDCs.…”

“…Since the submodules are sequentially, the analysis is done in a similar fashion. A breakdown of the impact of the RSO within the procedure described in Section IV can be found in [26]. and 𝑇ℎ𝑟𝑜𝑢𝑔ℎ𝑝𝑢𝑡_𝑡ℎ = max (𝑇 𝑑𝑖𝑠𝑡 ), such that the number of logical link constraint values that meet the thresholds per metric is minimized.…”

From Cloud-Native to 5G-Ready Vertical Applications: An Industry 4.0 Use Case

“…These automated operations are common to all instantiated vertical applications. Details on the Network and Computing Slice Deployment Platform can be found in [8].…”

“…A summary of the collected operational and network KPIs is reported in Table 1. We have run around a thousand runs on the platform deployment described in [8], the confidence interval is 95%. We have activated IEEE Precision Time Protocol [13] to align the clocks of the devices involved in the test runs.…”