MiSim: A Simulator for Resilience Assessment of Microservice-Based Architectures

Frank, Sebastian; Wagner, Lion; Hakamian, Alireza; Straesser, Martin; Hoorn, André van

doi:10.1109/qrs57517.2022.00105

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…In the static configuration of the retry pattern, an increase in the number of retries harms the survival of cloud applications. (13,15) It was, furthermore, increasing the waiting time feature of requests harms by predicting the failure rate of the system. These will cause downtime in the performance of the system.…”

Section: Resultsmentioning

confidence: 99%

“…The minimum or maximum amount of waiting time might increase or decrease the service idle time but affect the service execution time to a great amount. (7,15) The Figure 4 explains the sequential working model of the retry pattern. The most important parameters are the basic wait time and the number of retries to be performed.…”

Section: Proposed Dynamically Modified Retrymentioning

confidence: 99%

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Performance of Dynamic Retry Over Static Towards Resilience Nature of Microservice

Punithavathy,

Priya

2024

IJST

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Objectives: The main objective of this study is to enhance the flexibility of microservice-based cloud applications, so they can cope with transient or short-term failure conditions more effectively, providing a higher throughput of cloud applications as a result. Methods: The comparison is done between the existing or manual resilient patterns such as circuit breaker and retry with a dynamically proposed retry patterns using a microservice application. Findings: The short-term or transient failures in cloud based microservice applications can occur for many reasons. Examples such as Network glitches, service failures, timeouts of requests etc. These failures can bring down the entire application resulting in a cascading of failures. Resiliency patterns are used to protect these applications from failures. The widely used patterns are circuit breaker and retry, with static configurations. It is possible that the static configurations used in resiliency patterns might not support all types of failures. Hence, a dynamic approach has been proposed to satisfy all these transient failures of cloud. The analysis proves that the application efficiency is balanced in dynamic retry than the static configurations of resiliency pattern. Hence, performance can be increased up to 34.3%, which means the availability can be ensured, in transient failure cases. Very little research has been carried out on this resiliency pattern, and there are no standards available for this pattern. When comparing with the existing adaptive retry pattern the performance is increased up to 88.52%, while using a microservice application. Novelty: A dynamically modified resilient pattern is been proposed by incorporating additional parameters such as execution time to the existing parameters of the static retry pattern. This is an individual resilience pattern, which can perform independently when compared with other dynamic resilience patterns. Keywords: Dynamic retry, Request time, Static circuit breaker, Resilience, Static retry

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Section: Resultsmentioning

confidence: 99%

Section: Proposed Dynamically Modified Retrymentioning

confidence: 99%

Performance of Dynamic Retry Over Static Towards Resilience Nature of Microservice

Punithavathy,

Priya

2024

IJST

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“…In other cases, if services are working fine and the problem exists with the network, using the manual circuit breaker might be a bad idea because it makes the working service idle for a long period of time [19]. The retry pattern is one of the most used patterns in distributed cloud applications, for repeating tries [20], [21]. But the retry pattern with repeated retries also fails to solve the problem of resiliency and give a complete solution.…”

Section: Introductionmentioning

confidence: 99%

Auto retry circuit breaker for enhanced performance in microservice applications

Punithavathy,

Priya

2024

IJECE

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Cloud-hosted distributed systems are much more resilient to failure. Resilience is the key factor in avoiding cascading failures in microservice architectures, where circuit-breaker, retry, bulkhead, and rate-limiter patterns are implemented. Through the implementation of these patterns, availability and reliability factors can be greatly improved. Circuit-breaker emphasizes a fail-fast mechanism, so it is highly recommended. Although they are beneficial, some factors, such as configuration, need to be improved to increase the system's throughput. In this paper, an approach called auto retry circuit breaker (ARCB) is implemented, which is a modified version of existing patterns of circuit breaker, and it has been found that the throughput of the system can be increased by 36% when compared to the existing manual circuit breaker pattern.

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Kubernetes-in-the-Loop: Enriching Microservice Simulation Through Authentic Container Orchestration

Straesser,

Haas,

Frank

et al. 2024

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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MiSim: A Simulator for Resilience Assessment of Microservice-Based Architectures

Cited by 5 publications

References 14 publications

Performance of Dynamic Retry Over Static Towards Resilience Nature of Microservice

Performance of Dynamic Retry Over Static Towards Resilience Nature of Microservice

Auto retry circuit breaker for enhanced performance in microservice applications

Kubernetes-in-the-Loop: Enriching Microservice Simulation Through Authentic Container Orchestration

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