# Challenges and Solution Directions of Microservice Architectures: A Systematic Literature Review
## 5 Identified Challenges and Solution Directions
### RQ2. What Are the Identified Solution Directions?
\begin{table}
\begin{tabular}{l c l} \hline \hline
**Primary Challenge** & \multicolumn{1}{c}{**Solution Direction**} \\ \hline  & - & Client-Side Service Discovery. Study J \\  & - & Server-Side Service Discovery. Study J \\
**P1. Service Discovery** & - & Service Registry. Study J \\  & - & ICN-Based Service Discovery. Study I \\  & - & Static-Dynamic Service Description. Study AF \\  & - & Stateful Routing Mechanism. Study M \\ \hline
**P2. Data Management** & - & Multi Agent-Based Framework. Study S \\
**and Consistency** & - & BAC Theorem for Backing up Data. Study AH \\  & - & Solution Framework. Study C \\ \hline  & - & Reusable BDD-Based Acceptance Test Architecture. Study B \\  & - & A Flow for Regression Test. Study AG \\
**P3. Testing** & - & An Architecture and Framework to Automate Performance Test. Study G \\  & - & A Framework for Testing the Failure-Handling Capabilities. Study H \\  & - & Validation Framework. Study A \\  & - & Automation Testing Framework. Study AL \\ \hline  & - & Simulation Model. Study AA \\  & - & Performance Model and Prediction Method. Study AK \\
**P4. Performance Prediction**, & - & Performance Prediction Model. Study AR \\
**Measurement and Optimization** & - & Performance Analytical Model. Study E \\  & - & An approach for the Quantitative Assessment of Microservice Architecture Deployment \\  & - & Configuration Alternatives. Study BB \\  & - & Performance Degradation Prediction Framework. Study BY \\  & - & A Model-Driven Approach for Continuous Performance Improvement. Study CF \\ \hline
**P5. Communication and Integration** & - & Reference Architecture and Orchestrator Language. Study AI \\  & - & High-performance Userspace Networking Solution. Study R \\ \hline  & - & An Extendable Solution for Autoscaling. Study L \\  & - & Database-is-the-Service Pattern. Study F \\  & - & Workflow Scheduling Algorithm. Study AV \\  & - & Autoscaling Research Pipeline. Study BF \\  & - & Ant Colony Algorithm for Microservice Scheduling Optimization. Study AN \\  & - & A Novel Scheduling Strategy. Study BA \\  & - & A Lightweight and Flexible System for Autoscaling. Study AX \\  & - & A Generic Architecture and Implementation for Automated Orchestration. Study AU \\  & - & Configuration Models and Tool for Analyzing the Availability. Study W \\  & - & Storage Service Orchestrator Framework. Study Y \\  & - & A Monitoring-Based Architecture for Managing Deployment. Study AM \\  & - & Decentralized Orchestrator. Study AT \\  & - & Process Definition for An Elasticity Controller. Study AE \\  & - & Decentralized Load Balancing Algorithm. Study N \\  & - & Overload Control Method. Study Q \\  & - & A Hybrid Approach Combining Client-side and Server-side Load Balancing. Study BE \\
**P6. Service Orchestration** & - & Queue-Based Chain-Oriented Load Balancing Method. Study AW \\  & - & A Novel Fair Weighted Affinity-based Scheduling Approach. Study O \\  & - & A Novel Scheduling Framework for Kubernetes. Study AQ \\  & - & Dynamic Microservice Scheduling Algorithm for Mobile Edge Computing. Study AY \\  & - & Resource Allocation Optimization Approach. Study AO \\  & - & Many-Objective Genetic Algorithm Scheduler. Study BD \\  & - & A Novel Formula and Model for Determining the Thresholds of Total Resource Consumption. \\  & Study BH \\  & - & Autoscaling Research Pipeline. Study BI \\  & - & Using Declarative Business Processes for Service Orchestration. Study BK \\  & - & RL agent based intelligent autoscaling model. Study BM \\  & - & A Decision Framework to Select Right Microservice Collaboration Pattern—Study BP \\  & - & Elastic Scheduling Algorithm—Study BW \\  & - & Layered Container Structure for Microservice Deployment—Study BX \\  & - & Autoscaling Framework for Microservice chain—Study BZ \\  & - & Dynamic Flow Control Algorithm—Study CA \\  & - & Microservice Rescheduling Framework—Study CB \\  & - & A Kubernetes Controller for Managing Availability—Study CD \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Solution directions for the identified challenges in MSA.