Obstacle-Aware Resource Allocation in Business Processes

2017 ◽  
pp. 207-219 ◽  
Author(s):  
Farah Bellaaj ◽  
Mohamed Sellami ◽  
Sami Bhiri ◽  
Zakaria Maamar
Keyword(s):  
Resource Allocation ◽  
Business Processes

scholarly journals The Influence of Innovation in Tangible and Intangible Resource Allocation: A Qualitative Multi Case Study

2020 ◽  
Vol 12 (12) ◽  
pp. 4989
Author(s):  
Rui Silva ◽  
Cidália Oliveira
Keyword(s):  
Resource Allocation ◽  
Organizational Performance ◽  
Balanced Scorecard ◽  
Dynamic Capabilities ◽  
Business Processes ◽  
Research Area ◽  
Future Research ◽  
Resource Monitoring ◽  
Knowledge Resources ◽  
Research Areas

Considering the current turbulent macroeconomic environment, the aim of this research is to explore the influence of innovation in tangible and intangible resource allocation. The literature underlines that organizations are facing a revolution in their business processes. As such, there is a need to understand the value of knowledge resources and to identify ways to manage them. This paper explores the field of resource allocation, namely dynamic capabilities, and highlights the importance of monitoring intangible resources. This research has three specific contributions. The first contribution provides a comprehensive picture of what has occurred in the field of tangible and intangible resource allocation, such as intellectual capital and its importance towards organizational performance. Secondly, it offers evidence about the actual need for performance measurement tools that foster intangible resource monitoring. Organizations devote special attention to market demands which consequently lead managers to adapt their strategies in areas concerning resource allocation. Given this importance, this research, comprising major innovative organizations in Portugal from diverse activity sectors, provides new insights and stresses the importance of tools to follow the overall performance of resource allocation. Managers of innovative organizations recognize the very powerful features of the Balanced Scorecard (BSC) in monitoring and linking strategic resources of both tangible and intangible natures. Thirdly, this research, with a view to enrich the field of intangible natures, points out some aspects for future research areas, bearing in mind the relevance of this research area confirmed by managers of the major innovative organizations. Thus, it provides prominent information for both academia and innovative organizations.

Toward a correct and optimal time-aware cloud resource allocation to business processes

2020 ◽  
Vol 112 ◽  
pp. 751-766
Author(s):  
Rania Ben Halima ◽  
Slim Kallel ◽  
Walid Gaaloul ◽  
Zakaria Maamar ◽  
Mohamed Jmaiel
Keyword(s):  
Resource Allocation ◽  
Business Processes ◽  
Optimal Time ◽  
Cloud Resource ◽  
Time Aware

Partial Reconfiguration of Control Systems using Petri Nets Structural Redundancy

2015 ◽  
Vol 44 (3) ◽  
pp. 287-301
Author(s):  
Mildreth I Alcaraz-Mejia ◽  
Raul Campos-Rodriguez ◽  
Ernesto Lopez-Mellado ◽  
Antonio Ramirez-Trevino
Keyword(s):  
Resource Allocation ◽  
Petri Nets ◽  
Control Systems ◽  
Business Processes ◽  
Discrete Control ◽  
System Control ◽  
Partial Reconfiguration ◽  
Structural Redundancy ◽  
System 2 ◽  
System Controller

This paper deals with the partial reconfiguration of the discrete control systems due to resource failures using the structural redundancy of the global system model. The approach herein proposed introduces a new subclass of Interpreted Petri Nets (IPN), named Interpreted Machines with Resources (IMR), allowing representing both the behaviour of a system and the resource allocation. Based on this model, an efficient reconfiguration algorithm is proposed; it is based on finding the set of all redundant sequences using alternative resources. The advantages of this structural reconfiguration method are: (1) it provides minimal reconfiguration to the system control assuring the properties of the original control system, (2) since the model includes resource allocation, it can be applied to a variety of systems such as Business Processes, and FPGAs, among others. The method is illustrated through a case study dealing with a manufacturing system controller that includes both alternative resources and operation sequences.DOI: http://dx.doi.org/10.5755/j01.itc.44.3.8783

Adaptive IWD-based algorithm for deployment of business processes into cloud federations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hamidreza Nasiriasayesh ◽  
Alireza Yari ◽  
Eslam Nazemi
Keyword(s):  
Resource Allocation ◽  
Business Processes ◽  
Optimal Allocation ◽  
Data Transfer ◽  
Technology Infrastructure ◽  
Content Type ◽  
Cloud Federation ◽  
Water Drops ◽  
Adaptive Resource ◽  
Cloud Resources

Purpose The concept of business process (BP) as a service is a new solution in enterprises for the purpose of using specific BPs. BPs represent combinations of software services that must be properly executed by the resources provided by a company’s information technology infrastructure. As the policy requirements are different in each enterprise, processes are constantly evolving and demanding new resources in terms of computation and storage. To support more agility and flexibility, it is common today for enterprises to outsource their processes to clouds and, more recently, to cloud federation environment. Ensuring the optimal allocation of cloud resources to process service during the execution of workflows in accordance with user policy requirements is a major concern. Given the diversity of resources available in a cloud federation environment and the ongoing process changes required based on policies, reallocating cloud resources for service processing may lead to high computational costs and increased overheads in communication costs. Design/methodology/approach This paper presents a new adaptive resource allocation approach that uses a novel algorithm extending the natural-based intelligent water drops (IWD) algorithm that optimizes the resource allocation of workflows on the cloud federation which can estimate and optimize final deployment costs. The proposed algorithm is implemented and embedded within the WokflowSim simulation toolkit and tested in different simulated cloud environments with different workflow models. Findings The algorithm showed noticeable enhancements over the classical workflow deployment algorithms taking into account the challenges of data transfer. This paper made a comparison between the proposed IWD-based workflow deployment (IWFD) algorithm with other proposed algorithms. IWFD presented considerable improvements in the makespan, cost and data transfer in most situations in the cloud federation environment. Originality/value An extension for WorkflowSim to support the implementation of BPs in a federation cloud space regarding BP policy. Optimize workflow execution performance in Federated clouds by means of IWFD algorithm.

Predicting Resource Allocation and Costs for Business Processes in the Cloud

2015 ◽  
Author(s):  
Toni Mastelic ◽  
Walid Fdhila ◽  
Ivona Brandic ◽  
Stefanie Rinderle-Ma
Keyword(s):  
Resource Allocation ◽  
Business Processes
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