Business Process as a Service—A Systematic Literature Review

Gzik, Tomasz

doi:10.1007/978-3-030-40417-8_10

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…This paves way for the elastic business process management software (BPMS) in multi‐tenant cloud. Moreover, the BPMS is also widespread with the evolution of information technology (IT) solutions 9,10 . Autonomic management of resources in multi‐tenant cloud enables automatic sharing of resources to cloud users.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective container scheduling and multi‐path routing for elastic business process management in autonomic multi‐tenant cloud

Saif¹,

Aradhya²,

Murshed

et al. 2023

Concurrency and Computation

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Cloud multi-tenancy has a variant requirement, due to its resource sharing nature, satisfying such requirements and maintaining a balance between the resources and the business workloads of multiple tenants is a challenging task, and also the communication between scheduled containers leads to high power consumption. To address these issues, this article proposes an autonomic approach to ensure the elasticity of BPM in multi-tenant cloud. Where it employs the autonomic computing capabilities for scheduling the containers into the available servers then regulates the communication between the containers using multi-path routing. For the container scheduling, a multi-objective crow search optimization algorithm is proposed to schedule the containers into appropriate servers. Then, the discrete wolf search algorithm based multipath routing is proposed to route the communication flows between the containers by finding the optimal path with an objective to minimize the energy consumption.The optimal path is constructed as a multi-tenancy graph with bandwidths determining the shortest distance between the servers and containers. The overall simulations shows that the proposed algorithm outperformed the other compared approaches in terms of make-span, resource utilization, execution cost, execution time, and energy consumption.

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Section: Introductionmentioning

confidence: 99%

Multi‐objective container scheduling and multi‐path routing for elastic business process management in autonomic multi‐tenant cloud

Saif¹,

Aradhya²,

Murshed

et al. 2023

Concurrency and Computation

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show abstract

“…The relationship between process management and knowledge resources in the context of emerging digital innovations is currently the subject of intense pages: [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52] Engineering Management in Production and Services Badakhshan et al, 2019;BPM, 2020;BPM, 2021b). Until 2020, relatively little attention was paid by researchers and practitioners to the IT systems' importance for the integration of process and knowledge management, including the integration with business stakeholders (the environment), which is key in building relational capital (Gupta, Iyer & Aronson, 2000;Pant et al, 2011;Sanchez et al, 2011;Hove, von Rosing & Storms, 2015;Brajer-Marczak, 2016;Pereira, Barbosa & Duarte, 2020;Sobolewska & Bitkowska, 2020;Szelagowski & Lupeikiene, 2020;Grisold et al, 2021;Gzik, 2020). A dynamic change in this context occurred with the outbreak of the COVID-19 pandemic, which re-evaluated many of the strategies and systems used so far.…”

Section: Introductionmentioning

confidence: 99%

Towards Integration of Business Process Management and Knowledge Management. IT Systems’ Perspective

Bitkowska,

Detyna,

Detyna

2023

Engineering Management in Production and Services

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The processes of globalisation, the ongoing threat of the COVID-19 epidemic, the continuing war in Ukraine, and constantly emerging new technological solutions require organisations to adapt to changes constantly. Meanwhile, implemented business process management (BPM) often fails to integrate processes and knowledge resources. The awareness of the IT systems’ role in management processes is still lacking. These premises influenced the implementation of the main research goal to identify the approach of Polish private and public enterprises and various industries to the BPM integration with knowledge management (MK) in the context of using new information technologies. The presented research results justify the usefulness of building relationships between the process and knowledge resources under dynamically changing conditions using IT systems. The diagnostic survey results confirmed the key importance of developing such BPM and MK elements as evidence-based decisions, strategic goals, measurement systems, databases, digital innovations, and IT use for data processing. The presented material can support managers of various organisation types in decision-making processes by fully understanding the IT systems’ role and potential in process and knowledge management. Also, the article’s implications are a source of guidelines, helping organisations to implement management systems based on modern technologies. The value of the publication is a wide range of respondents: 107 large, medium, small, and micro-enterprises operating in Poland. The article’s research results also concern economic activities such as production, logistics, transport, banking, insurance, IT, telecommunications/ media, public administration, healthcare/pharmaceuticals, consulting, energy, and construction.

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Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks

Wang

Chang

et al. 2022

J Grid Computing

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As a new cloud service for delivering complex business applications, Business Process as a Service (BPaaS) is another challenge faced by cloud service platforms recently. To effectively reduce the security risk caused by business process execution load in BPaaS, it is necessary to detect the non-compliant process executions (instances) from tenants in advance by checking and monitoring the conformance of the executing process instances in real-time. However, the vast majority of existing conformance checking techniques can only be applied to the process instances that have been executed completely offline and only focus on the conformance from the single control-flow perspective. We develop an extensible multi-perspective conformance measurement method to address these issues first and then investigate the predictive conformance monitoring approach by automatically constructing an online multi-perspective conformance prediction model based on deep learning techniques. In addition, to capture more decisive features in the model from both local information and long-distance dependency within an executed process instance, we propose an approach, called CNN-BiGRU, by combining Convolutional Neural Network (CNN) with a variant and enhancement of Recurrent Neural Network (RNN). Extensive experiments on two data sets demonstrate the effectiveness and efficiency of the proposed CNN-BiGRU.

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Business Process as a Service—A Systematic Literature Review

Cited by 3 publications

References 24 publications

Multi‐objective container scheduling and multi‐path routing for elastic business process management in autonomic multi‐tenant cloud

Multi‐objective container scheduling and multi‐path routing for elastic business process management in autonomic multi‐tenant cloud

Towards Integration of Business Process Management and Knowledge Management. IT Systems’ Perspective

Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks

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