Microservices: How To Make Your Application Scale

Dragoni, Nicola; Lanese, Ivan; Larsen, Stephan Thordal; Mazzara, Manuel; Mustafin, Ruslan; Сафина, Лариса

doi:10.1007/978-3-319-74313-4_8

Cited by 120 publications

(87 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Also, the micro-services approach is implemented to digital curation infrastructure by devolving function into a set of micro-services which grants the deployment flexibility and simplify of the development and the maintenance [27]. These features of the micro-services architectures deal with the new trends of the HPC middleware [5], and ensure the scalability of the distributed applications [28].…”

Section: B Resultsmentioning

confidence: 99%

Toward a New Massively Distributed Virtual Machine based Cloud Micro-Services Team Model for HPC: SPMD Applications

Benchara¹,

Youssfi²,

Bouattane³

et al. 2017

ijacsa

View full text Add to dashboard Cite

Abstract-This paper aims to propose a new massively distributed virtual machine with scalable and efficient parallel computing models for High Performance Computing (HPC). The message passing paradigm of the Processing Units has a significant impact on HPC with high communication cost that penalizes the performance of these models. Accordingly, the proposed micro-services model allows the HPC applications to enhance the processing power with low communication cost. Thus, the model based Micro-services Virtual Processing Units (MsVPUs) cooperate using asynchronous communication mechanism through the Advanced Message Queuing Protocol (AMQP) protocol in order to maintain the scalability of the Single Program Multiple Data (SPMD) applications. Additionally, this mechanism enhances also the efficiency of the model based load balancing service with time optimized load balancing strategy. The proposed virtual machine is tested and validated through an application of fine grained parallel programs for big data classification. Experimental results present reduced execution time compared to the virtual machine based mobile agent's model.

show abstract

Section: B Resultsmentioning

confidence: 99%

Toward a New Massively Distributed Virtual Machine based Cloud Micro-Services Team Model for HPC: SPMD Applications

Benchara¹,

Youssfi²,

Bouattane³

et al. 2017

ijacsa

View full text Add to dashboard Cite

show abstract

“…) for All in do (iterate Microservice instance being used) (7) for All ∈ do (check CVO and VOs used by the Services) (8) if O == output of C in a relationship set R then (9) add C to Ç (10) else (11) if O == output of V in relationship set R V then (12) add V to Ç (13) N ← tag (Assign relationship tag to each object entry) (14) else (15) add O to Ç (16) end if (17) end if (18) …”

Section: Social Relationship Discovery and Compositionmentioning

confidence: 99%

“…(1) Output: C (Composite Service) (2) AEM ← List all objects available (Microservices, CVOs, VOs) in model (3) ← executeQueryStatement (AEM, ) (4) Z ← executeQueryStatement (AEM, ) (5) for All ∈ do (6) for All ∈ do (7) if == any in Z then (8) add to Ç Lm (9) store Ç Lm (10) end if (11) end for (12) for All i ∈ Ç Lm do (13) if i == any i in Ç Lm then (14) ← ranking (Assign rank to each service) (15) add i to Ç LR (16) store Ç LR (17) end if (18) end for (19) for All ∈ Ç LR do (20) if (R ) > then (21) add to Wf (22) Pq ← assign to queue (23) Sort Pq (24) Formulate Wf (25) end if (26) as AEM is loaded, the first step is to compose objects based on their relationship types. This way, the SPARQL queries are executed; the first query is denoted as to retrieve the available service templates and the second query is represented as to extract the relationships associated with the services.…”

Section: Require: (Aec) (R ) (Z)mentioning

confidence: 99%

“…To support the above-mentioned use cases, most of the current IoT architectural approaches are not suitable as they are based on the traditional monolithic approaches, which further hinder the development of efficient, modular, and independent services that cannot scale well with the increasing user's service demands, as already witnessed in many studies [9][10][11][12]. Using monolithic approaches, we cannot fully achieve the benefits offered by SIoT including efficient information discovery, improved scalability, and simplified interconnection of objects.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Model of Socially Connected Web Objects for IoT Applications

Ali

Kibria

Jarwar

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The Internet of Things (IoT) is evolving with the connected objects at an unprecedented rate, bringing about enormous opportunities for the future IoT applications as well as challenges. One of the major challenges is to handle the complexity generated by the interconnection of billions of objects. However, Social Internet of Things (SIoT), emerging from the conglomeration of IoT and social networks, has realized an efficient way to facilitate the development of complex future IoT applications. Nevertheless, to fully utilize the benefits of SIoT, a platform that can provide efficient services using social relations among heterogeneous objects is highly required. The web objects enabled IoT environment promotes SIoT features by enabling virtualization using virtual objects and supporting the modularity with microservices. To realize SIoT services, this article proposes an architecture that provides a foundation for the development of lightweight microservices based on socially connected web objects. To efficiently discover web objects and reduce the complexity of service provisioning processes, a social relationship model is presented. To realize the interoperable service operations, a semantic ontology model has been developed. Finally, to evaluate the proposed design, a prototype has been implemented based on a use case scenario.

show abstract

“…Monolithic system is a centralized architectural style of information system. The problem will occur when the demand to the system by the user are beyond the threshold level of how the system can handle and the centralized style of system has the problem to scale and to load balance the system gracefully [9].…”

Section: Related Workmentioning

confidence: 99%

A Method for Analyzing and Designing Microservice Holistically

Ghani¹,

Zakaria²

2017

ijacsa

View full text Add to dashboard Cite

Abstract-Microservice is a new architecture that is getting attention in the development of service systems. However, microservice is still at the early stage and the acceptance of this architecture is overwhelming. Microservice architecture is a promising architecture in delivering loosely coupled, decentralized, and scalable system that utilizes the latest technology, such as container and cloud computing. However, the traditional method for analyzing and designing system will not be able to fully utilize the capability of the microservice architecture. Therefore, a new method for analyzing and designing the microservice holistically is being proposed in this paper. The Design Science Research methodology has been adopted in designing the proposed method. The artifact, which is the result of the research, is the proposed method. The proposed method has shown its potential in being used to analyze and design the microservice holistically and to benefit from the microservice architecture capabilities.

show abstract

Microservices: How To Make Your Application Scale

Cited by 120 publications

References 13 publications

Toward a New Massively Distributed Virtual Machine based Cloud Micro-Services Team Model for HPC: SPMD Applications

Toward a New Massively Distributed Virtual Machine based Cloud Micro-Services Team Model for HPC: SPMD Applications

A Model of Socially Connected Web Objects for IoT Applications

A Method for Analyzing and Designing Microservice Holistically

Contact Info

Product

Resources

About