Towards Recovering the Software Architecture of Microservice-Based Systems

Abstract

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services

“…The MxNet deep learning framework [14] shows the feasibility of using serverless computing AWS Lambda framework [15]. There are several efforts [16]- [20] to deploy and orchestrate VMs or containers dynamically with all software dependencies. Barista's focus is orthogonal to these efforts; instead, it is to trigger the deployment process ahead of time so that the system can handle the workload surges by utilizing the afore-mentioned efforts.…”

“…GetForecast(t, t setup ) , i * , n_reqi * ← ResourceEstimation(y , params) ← GetExpireVMCount(t + t setup ) 12 δ ← (α − prevStepV M Count) − expireV M Count 13if δ > 0 then14 for i = 1 to δ do15 IP ←DeployVM(i * )16 AddContDwnldRegistry(t + tvm, IP, model)17 AddMdlLoadRegistry(t + tvm + t cd , IP, model)18 AddVMExpireRegistry(t + τvm, IP, model) 19 end 20 HorizontalScaleUp(sizeof (scaledV M s), scaledV M s) 21 else ← δ + sizeof (scaledV M s) 23 if δ ≥ 0 then 24 HorizontalScaleUp(δ , scaledV M s) ← CheckContDwnldRegistry(t)…”

Matrix Clustering based Migration of System Application to Microservices Architecture

“…If software architecture recovery is taken into account, it becomes clear that the prevailing techniques in this field are quite limited because all these techniques are based upon reverse engineering [5].…”

“…It helps the developer to develop the large and complex application to distribute the application in chunks or unit by composing this application [1]. It can be written in language by using APIs for microservices [3]- [5]. Mostly papers are discussing about its independent services that can be upgrade or new addition or services any time.…”

“…These services are known as a style of an architecture that develops an application as a set of small services independently [7]. Now, microservices are becoming very popular with cloud platform which is an emerging style in the context of application development due to its independency, scalability, flexibility, performance, and manageability [3], [5]. There is a lot of research in this area that needs to be address.…”