Workflow Management in Cloud Computingdoi:10.5120/IJAIS12-450788Monika BhartiAnju Bala
In this paper, we have proposed a general workflow management system architecture and a scientific workflow model, followed by a model for monitoring tool in the cloud environment, based on a comprehensive study of literature in cloud computing....
Developing a Web-Based Workflow Management System in Cloud Computing Platforms Cloud computing is the innovative and leading information technology model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with...
Sign in to download full-size image Figure 15.1.Architecture of cloud workflow management system. Portal, enactment engine, and resource broker form the core of the WFMS performing vital operations, such as designing, modeling, and resource allocation. To achieve these operations, the workflow manage...
Cloud-fog computing frameworks represent emerging paradigms designed to enhance existing Internet of Things (IoT) architectures. In these frameworks, task scheduling is crucial for optimizing task allocation and execution within the cloud-fog computing environment. Finding an optimal algorithm for workflow ...
Cloud workflow is a necessary workflow management system deployed in cloud computing environment, e.g., the big data processing center of the smart city cloud. In this paper, we name it after the smart city cloud workflow system. A large number of tenants can design, configure and run their...
Cloud computing is the new generation of networks that uses remote servers hosted on the Internet for various uses such as data storage, data management, s... A Kaur,S Sharma 被引量: 0发表: 2017年 Efficient algorithm for workflow scheduling in cloud computing environment Executing a large numb...
cloud side, which contribute to an extended calculation pipeline together-edge-to-cloud continuum. Within the popularity of the edge-to-cloud continuum, how to offload workflows properly matters in many contexts: energy consumption, latency control, and QoS. Moreover, with the evolution of the ...
5.4 Workflow management system In this section, we provide details about the contributions that mention the development of new engine-workflow management systems or extend the already existing ones to handle the security requirements. [35] proposed a framework of, what they call, a “mimic cloud ...
our study presents a task splitting management system that considers both resource efficiency and the workload to be scheduled. Considering the complexity of workflows, we provided Maxvm and Minvm allocation strategies to reduce the system execution cost, time and to fully utilize the cloud resources...