# Interim Report on Adaptive Event Dispatching in Serverless Computing Infrastructures

## TL;DR

This paper explores how adaptive event dispatching considering locality and dependencies can enhance resource efficiency in serverless computing platforms, addressing current limitations in data locality optimization.

## Contribution

It proposes the importance of adaptive event dispatching in serverless platforms and highlights the gap in existing systems' data locality optimization.

## Key findings

- Existing serverless platforms lack data locality optimization.
- Distributed computing scheduling methods can improve resource efficiency.
- Adaptive dispatching can reduce latency and resource usage.

## Abstract

Serverless computing is an emerging service model in distributed computing systems. The term captures cloud-based event-driven distributed application design and stems from its completely resource-transparent deployment model, i.e. serverless. This work thesisizes that adaptive event dispatching can improve current serverless platform resource efficiency by considering locality and dependencies. These design contemplations have also been formulated by Hendrickson et al., which identifies the requirement that "Serverless load balancers must make low-latency decisions while considering session, code and data locality". This interim report investigates the economical importance of the emerging trend and asserts that existing serverless platforms still do not optimize for data locality, whereas a variety of scheduling methods are available from distributed computing research which have proven to increase resource efficiency.