Abstract
The stateless cloud-native design improves the elasticity and reliability of applications running in the cloud. The design decouples the life-cycle of application states from that of application instances; states are written to and read from cloud databases, and deployed close to the application code to ensure low latency bounds on state access. However, the scalability of applications brings the well-known limitations of distributed databases, in which the states are stored. In this paper, we propose a full-fledged state layer that supports the stateless cloud application design. In order to minimize the inter-host communication due to state externalization, we propose, on the one hand, a system design jointly with a data placement algorithm that places functions’ states across the hosts of a data center. On the other hand, we design a dynamic replication module that decides the proper number of copies for each state to ensure a sweet spot in short state-access time and low network traffic. We evaluate the proposed methods across realistic scenarios. We show that our solution yields state-access delays close to the optimal, and ensures fast replica placement decisions in large-scale settings.
Highlights
IntroductionBeyond their core packet processing functionality, auxiliary functions, such as load balancing, scaling, and redundancy logic are all baked into the application itself
Network functions (NFs) are implemented as monolithic applications—beyond their core packet processing functionality, auxiliary functions, such as load balancing, scaling, and redundancy logic are all baked into the application itself
The advantage of this approach is that the applications become independent of the underlying infrastructure, which paves the way for novel cloud, edge, and mobile management systems and use-cases, like vendor-agnostic resource consolidation [7], resource-aware cloud service admission control [8], and real-time 5G-enabled industrial IoT [9]
Summary
Beyond their core packet processing functionality, auxiliary functions, such as load balancing, scaling, and redundancy logic are all baked into the application itself This approach makes it possible to achieve great performance characteristics, especially given that the implementations are often tuned for the specific hardware they run on. With the advent of 5G, there is a strong drive in the industry to make applications more cloud-native [5,6]—that is, transform them so that they are stateless The advantage of this approach is that the applications become independent of the underlying infrastructure (cloud vendor agnosticism), which paves the way for novel cloud, edge, and mobile management systems and use-cases, like vendor-agnostic resource consolidation [7], resource-aware cloud service admission control [8], and real-time (low-latency) 5G-enabled industrial IoT [9]. Due to the cloud agnosticism, applications will be able to run in any telco’s or cloud administrator’s infrastructure, and various online application suppliers will ship the application systems, which, according to the authors of [10], by the union of the these actors, will result in a global virtualization platform in the future
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