Predicting temporal violations for parallel business cloud workflows

Luo, Hao; Liu, Jin; Liu, Xiao; Yang, Yun

doi:10.1002/spe.2554

Cited by 4 publications

(2 citation statements)

References 44 publications

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“…Based on this a financial cost model, the resource allocation problem can be formulated as an integer linear programming problem and approximately solved by a greedy randomised adaptive search procedure. Luo et al (2018) applied the epidemic theory to model the dynamics of time delay propagation when deploying and running large-scale workflow applications. This proposed temporal violation transmission model can estimate the account of temporal violations and determine the account of violations that must be handled.…”

Section: Related Workmentioning

confidence: 99%

CWOM: a lightweight cloud-oriented workflow optimisation middleware

Xiao

2021

IJNVO

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In recent years, more and more workflow applications have been developed to execute on various kinds of cloud platforms. Although many cloud-based workflow management and enactment systems have been proposed, there are still many challenges when deploying and executing workflows on various kinds of real-world cloud platform. In this paper, we present a lightweight framework, namely cloud-oriented workflow optimisation middleware (CWOM), which is designed for easing the work of optimising the workflow execution efficiency as well as the work of realising fine-grained workflow management. The proposed CWOM is implemented as a plug-in middleware that can interact with the other workflow services and therefore provide more desirable services for workflow applications. Another advantage of our CWOM is that its services are loosely coupled with other cloud services, which makes it more flexible and configurable in most of the real-world cloud platforms. To investigate the effectiveness of the proposed system, we deploy the prototype implementation of CWOM in a campus-based cloud platform, and the experimental results indicate that it can significantly improve the delivered QoS and enhance the service level offered by conventional workflow solutions.

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Section: Related Workmentioning

confidence: 99%

CWOM: a lightweight cloud-oriented workflow optimisation middleware

Xiao

2021

IJNVO

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“…Millions of client entrustments can be requested by clients all over the country. All of them are processed concurrently in more than 4000 branches [25].…”

Section: Motivating Business Workflow Example and Existing Problemmentioning

confidence: 99%

Dynamic Security Exchange Scheduling Model for Business Workflow Based on Queuing Theory in Cloud Computing

Cheng

et al. 2020

Security and Communication Networks

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With the rapid development of e-business, large volume of business processes need to be handled in a constrained time. There is always a security issue related to on-time completion in many applications in the economic fields. So, how to effectively manage and organize business processes became very important. By using cloud computing, instance-intensive processes can be handled more effectively by applying just-right virtual machines. Hence, the management of cloud resources became an important issue that many researchers focus on to fully utilize the advantage of cloud. In this paper, we mainly discuss the queuing theory and put forward our novel dynamic process scheduling model based on queuing theory, which is named M/G/k/l-P for business processes. This model can solve the issue of allocating appropriate number of cloud resources based on the number of tasks and execution stages to ensure whether the numbers of cloud resources are sufficient and adequate or not, which can improve the security issue for business process. The service discipline in our model can provide a dynamic process by setting different priorities to improve the experience of users. Evaluations prove that the queuing model of M/G/k/l-P can work very well for business workflow scheduling.

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