Open Access

Table 1

Evaluation of performance metrics in serverless computing.

Author, Ref. Year C S CS EC RU RT
Wen et al. [18] 2021
Perez et al. [19] 2019
Kim et al. [20] 2020
Enes et al. [21] 2020
Jackson et al. [22] 2018
Shafiei et al. [23] 2022
Golec et al. [25] 2021
Singh et al. [24] 2022
Grafberger et al. [26] 2021
Li et al. [27] 2022
Bebortta et al. [28] 2020
Gill et al. [29] 2021
Mateus et al. [30] 2022
Marin et al. [31] 2022
Mahmoudi et al. [10] 2020
Yussupov et al. [32] 2019
Van Eyk et al. [33] 2018
Cordingly et al. [34] 2020
Bardsley et al. [35] 2018
Jackson et al. [22] 2018
Rajan et al. [36] 2018
Grogan et al. [37] 2020
Vahidinia et al. [38] 2022
Liu et al. [39] 2023
Fuerst et al. [40] 2021
Mampage et al. [41] 2021
Kaur et al. [42] 2019
Datta et al. [43] 2024
Naranjo et al. [44] 2020
Sarroca et al. [45] 2024
Zuk et al. [46] 2022
Proposed approach

C-Cost, S-Scalability, CS-Cold Start, EC-Energy Consumption, RU-Resource Utilization, RT-Response Time.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.