Towards an understanding of microservices

Shadija, Dharmendra; Rezai, Mo; Hill, Richard

doi:10.23919/iconac.2017.8082018

Cited by 58 publications

(50 citation statements)

References 14 publications

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“…However, the emergence of IIoT, and the awareness that systems need to be designed and built to scale elastically in the future, is also generating enthusiasm for cloud-provisioned resources and approaches to software development such as Microservices Architectures (MA) [37]. We have attempted to approach the modelling of this situation by recognising that a manufacturing organization will want to adopt IIoT devices in a fluid and scalable way, and have adopted good practice for the modelling of networks that may include mobile sensors and other entities as advocated by [38].…”

Section: Olap Securitymentioning

confidence: 99%

Securing Manufacturing Intelligence for the Industrial Internet of Things

Al-Aqrabi

Hill

Lane

et al. 2020

Advances in Intelligent Systems and Computing

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Widespread interest in the emerging area of predictive analytics is driving industries such as manufacturing to explore new approaches to the collection and management of data provided from Industrial Internet of Things (IIoT) devices. Often, analytics processing for Business Intelligence (BI) is an intensive task, and it also presents both an opportunity for competitive advantage as well as a security vulnerability in terms of the potential for losing Intellectual Property (IP). This article explores two approaches to securing BI in the manufacturing domain. Simulation results indicate that a Unified Threat Management (UTM) model is simpler to maintain and has less potential vulnerabilities than a distributed security model. Conversely, a distributed model of security out-performs the UTM model and offers more scope for the use of existing hardware resources. In conclusion, a hybrid security model is proposed where security controls are segregated into a multi-cloud architecture.

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Section: Olap Securitymentioning

confidence: 99%

Securing Manufacturing Intelligence for the Industrial Internet of Things

Al-Aqrabi

Hill

Lane

et al. 2020

Advances in Intelligent Systems and Computing

Self Cite

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“…Few approaches focus on choreography for compositional modeling. Inspired by the WS-CDL [12] standards, over the past decade, choreography has been studied to support a new programming paradigm called choreographic programming [41,42]. In choreographic programming, the programmer uses choreography to program the service systems, and then a compiler is used to automatically generate compliant implementations.…”

Section: Architecture Stylementioning

confidence: 99%

A Rule-Based Language and Verification Framework of Dynamic Service Composition

2020

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The emergence of BPML (Business Process Modeling Language) has favored the development of languages for the composition of services. Process-oriented approaches produce imperative languages, which are rigid to change at run-time because they focus on how the processes should be built. Despite the fact that semantics is introduced in languages to increase their flexibility, dynamism is limited to find services that have disappeared or become defective. They do not offer the possibility to adapt the composite service to execution. Although rules-based languages were introduced, they remain very much dependent on the BPML which is the underlying technology. This article proposes the specification of a rule-based declarative language for the composition of services. It consists of the syntactic categories which make up the concepts of the language and a formal description of the operational semantics that highlights the dynamism, the flexibility and the adaptability of the language thus defined. This paper also presents a verification framework made of a formal aspect and a toolset. The verification framework translates service specifications into Promela for model checking. Then, a validation framework is proposed that translates the verified specifications to the operational system. Finally, a case study is presented.

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“…The Internet of Things is one domain where it is foreseen that the ability to orchestrate trusted services from myriad connected devices is essential. Further evidence of such thinking is the research community's interest in microservice architectures, where containerisation is utilised to assist the design of software architectures that can scale rapidly [27], which is a fundamental design requirement of IoT applications [28].…”

Section: Cross-realm Authenticationmentioning

confidence: 99%

Dynamic Multiparty Authentication of Data Analytics Services Within Cloud Environments

Al-Aqrabi

Hill

2018

2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference On

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Approaches to the provision of data analytics for businesses offer methods to analyse and model data, enabling informed decision making to improve business performance and profitability. Typically, analytics processing is an intensive task and the demand for business insight, on-demand, means that organisations make use of elastic cloud provisioned resources to host such services. However, within the shared domains of multi-tenant cloud computing, business data and models are exposed to greater security threats and compromised privacy, since an unauthorised user may be able to gain access to highly sensitive, consolidated business-critical information. Business analytics processes are often composed from orchestrated, collaborating services, which are consumed by users from multiple cloud systems (in different security realms), which need to be engaged dynamically at runtime. If heterogeneous cloud systems located in different security realms do not have direct authentication relationships, then it is a considerable technical challenge to enable secure collaboration. In order to address this security challenge, a new authentication framework is required to establish trust amongst business analytics service instances and users by distributing a common session secret to all participants of a session. We address this challenge by designing and implementing a secure multiparty authentication framework for dynamic interaction, for the scenario where members of different security realms express a need to access orchestrated services. This novel framework exploits the relationship of trust between session members in different security realms, to enable a user to obtain security credentials that access cloud resources in a remote realm. The mechanism assists cloud session users to authenticate their session membership, thereby improving the performance of authentication processes within multiparty sessions. We see applicability of this framework beyond multiple cloud infrastructure, to that of any scenario where multiple security realms has the potential to exist, such as the emerging Internet of Things (IoT).

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Towards an understanding of microservices

Cited by 58 publications

References 14 publications

Securing Manufacturing Intelligence for the Industrial Internet of Things

Securing Manufacturing Intelligence for the Industrial Internet of Things

A Rule-Based Language and Verification Framework of Dynamic Service Composition

Dynamic Multiparty Authentication of Data Analytics Services Within Cloud Environments

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