Business Process Scheduling Strategies in Cloud Environments with Fairness Metrics

Bessai, Kahina; Youcef, Samir; Oulamara, Ammar; Godart, Claude; Nurcan, Selmin

doi:10.1109/scc.2013.94

Cited by 5 publications

(6 citation statements)

References 18 publications

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“…By using weights, the Pareto-optimal solution of the multi-objective heuristic can be transformed into a unique solution. A number of strategies that are based on similar assumptions have also been proposed by [32]. The authors aim at scheduling process steps of business processes using elastic cloud-based resources, while optimizing enactment time and cost.…”

Section: Related Workmentioning

confidence: 99%

Cost-efficient auto-scaling of container-based elastic processes

Sheganaku

Schulte

Waibel

et al. 2023

Future Generation Computer Systems

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Section: Related Workmentioning

confidence: 99%

Cost-efficient auto-scaling of container-based elastic processes

Sheganaku

Schulte

Waibel

et al. 2023

Future Generation Computer Systems

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“…Other approaches disregard SLAs, and the optimization is either Pareto-optimal or based on weights or priorities indicating the importance of cost and turnaround time [44,45]. Recent investigations have considered SLAs in terms of deadlines for single tasks and single process instances, but only sequential processes are supported [46,47,48].…”

Section: Scheduling For Elastic Processesmentioning

confidence: 99%

“…The number of scheduling approaches explicitly aiming at concurrent elastic processes is still straightforward: There are scheduling heuristics aiming at reducing the mean cost and mean turnaround time of all process instances while taking into account SLAs for single instances [43]. Other approaches disregard SLAs, and the optimization is either Pareto-optimal or based on weights or priorities indicating the importance of cost and turnaround time [44,45]. Recent investigations have considered SLAs in terms of deadlines for single tasks and single process instances, but only sequential processes are supported [46,47,48].…”

Section: Scheduling For Elastic Processesmentioning

confidence: 99%

Elastic Business Process Management: State of the art and open challenges for BPM in the cloud

Schulte

Janiesch

Venugopal

et al. 2015

Future Generation Computer Systems

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With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete business processes. This allows the realization of so-called elastic processes, i.e., processes which are carried out using elastic cloud resources. Despite the manifold benefits of elastic processes, there is still a lack of solutions supporting them.In this paper, we identify the state of the art of elastic Business Process Management with a focus on infrastructural challenges. We conceptualize an architecture for an elastic Business Process Management System and discuss existing work on scheduling, resource allocation, monitoring, decentralized coordination, and state management for elastic processes. Furthermore, we present two representative elastic Business Process Management Systems which are intended to counter these challenges. Based on our findings, we identify open issues and outline possible research directions for the realization of elastic processes and elastic Business Process Management.

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“…Business process instances scheduling and event management are considered as a crucial step in the journey of business process performance improvement. Several research contributions in the literature focus on scheduling business process instances, and optimizing resource allocation based on different methodologies and different algorithms such as [1] [2] [3] [4] [5] just to name a few. However, the new digitized era and the rise of several new technologies especially Internet of Things (IoT) implies new business process scheduling problems and challenges linked basically to limited resources or the need to use those resources (especially in case of human resources) in an optimal and flexible way by achieving priority-based scheduling.…”

Section: Introductionmentioning

confidence: 99%

Priority-Based Event Management using Fuzzy Logic for an IoT-BPM Architecture

Ismaili-Alaoui

Kasmi

Baïna

et al. 2019

2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA)

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Internet of things (IoT) world is growing at a breathtaking pace. This new paradigm shift affects all the enterprise architecture layers from infrastructure to business. Organizations are nowadays faced with new challenges to keep their quality of service and competitive advantage over other rival organizations. Business Process Management (BPM) is a field among others that will be affected by this new technology. Both IoT and BPM communicate through events, and effective and efficient management of those events ensures a better communication channel between the IoT physical layer and the Business layer. However, the huge amount of those IoT generated events and sometimes the subtle difference between their criticality level, generate uncertainty regarding their priority level determination. In this paper, we propose a fuzzy logic-based event management approach to estimate the criticality level of the incoming IoT events using two fuzzy inference systems (FIS) and to manage the priority of business process instances triggered by those events. A case study is presented and the obtained results from our simulations demonstrate the benefit of our approach and allowed us to confirm the efficiency of our assumptions.

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Business Process Scheduling Strategies in Cloud Environments with Fairness Metrics

Cited by 5 publications

References 18 publications

Cost-efficient auto-scaling of container-based elastic processes

Cost-efficient auto-scaling of container-based elastic processes

Elastic Business Process Management: State of the art and open challenges for BPM in the cloud

Priority-Based Event Management using Fuzzy Logic for an IoT-BPM Architecture

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