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Task runtime prediction in scientific workflows using an online incremental learning approach

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arXiv 2018年

作者： Hilman, Muhammad Hafizhuddin Rodriguez, Maria A. Buyya, Rajkumar Laboratory School of Computing and Information Systems University of Melbourne Australia

Many algorithms in workflow scheduling and resource provisioning rely on the performance estimation of tasks to produce a scheduling plan. A profiler that is capable of modeling the execution of tasks and predicting their runtime accurately, therefore, becomes an essential part of any Workflow Management System (WMS). With the emergence of multitenant Workflow as a Service (WaaS) platforms that use clouds for deploying scientific workflows, task runtime prediction becomes more challenging because it requires the processing of a significant amount of data in a near real-time scenario while dealing with the performance variability of cloud resources. Hence, relying on methods such as profiling tasks' execution data using basic statistical description (e.g., mean, standard deviation) or batch offline regression techniques to estimate the runtime may not be suitable for such environments. In this paper, we propose an online incremental learning approach to predict the runtime of tasks in scientific workflows in clouds. To improve the performance of the predictions, we harness fine-grained resources monitoring data in the form of time-series records of CPU utilization, memory usage, and I/O activities that are reflecting the unique characteristics of a task's execution. We compare our solution to a state-of-the-art approach that exploits the resources monitoring data based on regression machine learning technique. From our experiments, the proposed strategy improves the performance, in terms of the error, up to 29.89%, compared to the state-of-the-art solutions. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

Resource management in edge and fog computing using FogBus2 framework

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arXiv 2021年

作者： Goudarzi, Mohammad Deng, Qifan Buyya, Rajkumar Laboratory School of Computing and Information Systems The University of Melbourne Australia

In this chapter, we highlighted key features of the FogBus2 framework alongside describing its main components. Besides, we described how to set up an integrated computing environment, containing multiple cloud service providers and edge devices, and establish a low-overhead communication network among all resources. Next, we provided instructions and corresponding code snippets to install and run the main framework and its integrated applications. Finally, we demonstrated how to implement and integrate new IoT applications and custom scheduling policies with this framework. Copyright © 2021, The Authors. All rights reserved.

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Container Orchestration in Edge and Fog computing Environments for Real-Time IoT Applications

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arXiv 2022年

作者： Wang, Zhiyu Goudarzi, Mohammad Aryal, Jagannath Buyya, Rajkumar Laboratory School of Computing and Information Systems The University of Melbourne Australia

Resource management is the principal factor to fully utilize the potential of Edge/Fog computing to execute real-time and critical IoT applications. Although some resource management frameworks exist, the majority are not designed based on distributed containerized components. Hence, they are not suitable for highly distributed and heterogeneous computing environments. Containerized resource management frameworks such as FogBus2 enable efficient distribution of framework’s components alongside IoT applications’ components. However, the management, deployment, health-check, and scalability of a large number of containers are challenging issues. To orchestrate a multitude of containers, several orchestration tools are developed. But, many of these orchestration tools are heavy-weight and have a high overhead, especially for resource-limited Edge/Fog nodes. Thus, for hybrid computing environments, consisting of heterogeneous Edge/Fog and/or cloud nodes, lightweight container orchestration tools are required to support both resource-limited resources at the Edge/Fog and resource-rich resources at the cloud. Thus, in this paper, we propose a feasible approach to build a hybrid and lightweight cluster based on K3s, for the FogBus2 framework that offers containerized resource management framework. This work addresses the challenge of creating lightweight computing clusters in hybrid computing environments. It also proposes three design patterns for the deployment of the FogBus2 framework in hybrid environments, including 1) Host Network, 2) Proxy Server, and 3) Environment Variable. The performance evaluation shows that the proposed approach improves the response time of real-time IoT applications up to 29% with acceptable and low overhead. Copyright © 2022, The Authors. All rights reserved.

关键词： Fog computing

Workflow-as-a-service cloud platform and deployment of bioinformatics workflow applications

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arXiv 2020年

作者： Hilman, Muhammad H. Rodriguez, Maria A. Buyya, Rajkumar Laboratory School of Computing and Information Systems University of Melbourne Australia

Workflow management systems (WMS) support the composition and deployment of workflow-oriented applications in distributed computing environments. They hide the complexity of managing large-scale applications, which includes the controlling data pipelining between tasks, ensuring the application's execution, and orchestrating the distributed computational resources to get a reasonable processing time. With the increasing trends of scientific workflow adoption, the demand to deploy them using a third-party service begins to increase. Workflow-as-a-service (WaaS) is a term representing the platform that serves the users who require to deploy their workflow applications on third-party cloud-managed services. This concept drives the existing WMS technology to evolve towards the development of the WaaS cloud platform. Based on this requirement, we extend cloudBus WMS functionality to handle the workload of multiple workflows and develop the WaaS cloud platform prototype. We implemented the Elastic Budget-constrained resource Provisioning and Scheduling algorithm for Multiple workflows (EBPSM) algorithm that is capable of scheduling multiple workflows and evaluated the platform using two bioinformatics workflows. Our experimental results show that the platform is capable of efficiently handling multiple workflows execution and gaining its purpose to minimize the makespan while meeting the budget. Copyright © 2020, The Authors. All rights reserved.

关键词： Scheduling algorithms

Individual particle persistence antagonizes global ordering in populations of nematically aligning self-propelled particles

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Physical Review E 2025年第2期111卷 025409-025409页

作者： J. M. Nava-Sedeño R. Klages H. Hatzikirou Francisco J. Sevilla A. Deutsch Departmento de Matemáticas Facultad de Ciencias Universidad Nacional Autónoma de México Circuito Exterior Ciudad Universitaria 04510 Ciudad de México México Centre for Complex Systems School of Mathematical Sciences Queen Mary University of London Mile End Road London E1 4NS United Kingdom London Mathematical Laboratory 8 Margravine Gardens London W6 8RH United Kingdom Technische Universität Dresden Center for Information Services and High Performance Computing Nöthnitzer Straße 46 01062 Dresden Germany Mathematics Department Khalifa University PO Box 127788 Abu Dhabi United Arab Emirates Instituto de Física Universidad Nacional Autónoma de México Apdo. Postal 20-364 01000 Ciudad de México México

The transition from individual to collective motion plays a significant role in many biological processes. While the implications of different types of particle-particle interactions for the emergence of particular modes of collective motion have been well studied, it is unclear how particular types of individual migration patterns influence collective motion. Here, motivated by swarming bacteria Myxococcus xanthus, we investigate the combined effects of the individual pattern of migration and particle-particle interactions on the emergence of collective migration. We analyze the effects of a feature of individual pattern migration, the persistence of motion, on the collective properties of the system that emerge from interactions among individuals, particularly when nematic velocity alignment interaction mediates collective dynamics. We find, through computer simulations and mathematical analysis, that an initially disordered migratory state can become globally ordered by increasing either the particle-particle alignment interaction strength or the persistence of individual migration. In contrast, we find that persistence prevents the emergence of global nematic order when both persistence and nematic alignment are comparatively high. We conclude that behavior at the population level not only depends on interactions between individuals but also on their own intrinsic behavior.

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An embedded vertical‐federated feature selection algorithm based on particle swarm optimisation

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CAAI Transactions on Intelligence Technology 2023年第3期8卷 734-754页

作者： Yong Zhang Ying Hu Xiaozhi Gao Dunwei Gong Yinan Guo Kaizhou Gao Wanqiu Zhang School of Information and Control Engineering China University of Mining and TechnologyXuzhouChina The Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchunChina School of Computing University of Eastern FinlandKuopioFinland The Macao Institute of Systems Engineering Macao University of Science and TechnologyTaipaChina

In real life,a large amount of data describing the same learning task may be stored in different institutions(called participants),and these data cannot be shared among par-ticipants due to privacy *** case that different attributes/features of the same instance are stored in different institutions is called vertically distributed *** pur-pose of vertical‐federated feature selection(FS)is to reduce the feature dimension of vertical distributed data jointly without sharing local original data so that the feature subset obtained has the same or better performance as the original feature *** solve this problem,in the paper,an embedded vertical‐federated FS algorithm based on particle swarm optimisation(PSO‐EVFFS)is proposed by incorporating evolutionary FS into the SecureBoost framework for the first *** optimising both hyper‐parameters of the XGBoost model and feature subsets,PSO‐EVFFS can obtain a feature subset,which makes the XGBoost model more *** the same time,since different participants only share insensitive parameters such as model loss function,PSO‐EVFFS can effec-tively ensure the privacy of participants'***,an ensemble ranking strategy of feature importance based on the XGBoost tree model is developed to effectively remove irrelevant features on each ***,the proposed algorithm is applied to 10 test datasets and compared with three typical vertical‐federated learning frameworks and two variants of the proposed algorithm with different initialisation ***-mental results show that the proposed algorithm can significantly improve the classifi-cation performance of selected feature subsets while fully protecting the data privacy of all participants.

关键词： Evolutionary optimization feature selection privacy protection vertical‐federated learning

Learner Modeling Using Educational Games: A Review of the Literature

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Smart Learning Environments 2015年第1期2卷 1-16页

作者： Khenissi, Mohamed Ali Essalmi, Fathi Jemni, Mohamed Kinshuk Research Laboratory LaTICE ENSIT University of TUNIS 5 Avenue Taha Hussein B.P. 56 Tunis 1008 Tunisia School of Computing and Information Systems Athabasca University Athabasca Canada

Recently, there has been growing interest in the use of games in education. Educational games have been found to stimulate learners by increasing their motivation and engagement. In addition, educational games could be used for creating the learner model. In fact, these games provide ample opportunities for learner’s interactions with the computer which can be exploited for creating a reliable learner model. This paper^a presents a survey of the field of learner modeling using educational games, describing the main methods and proposing taxonomy to better organize them. The paper also enumerates several educational games that are suitable for experimentation. This synthesis is expected to not only help the researchers and developers working in this field but also pedagogues and teachers who plan to integrate these approaches in educational context. © 2015, Khenissi et al.;licensee Springer.

关键词： Adaptation Educational games Indicators Learner model Learner-computer interactions traces Learners tracking Learners' characteristics Taxonomy of methods

Trustworthy selection of cloud providers based on security and privacy requirements: Justifying trust assumptions

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Trustworthy selection of cloud providers based on security a...

10th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2013

作者： Pavlidis, Michalis Mouratidis, Haralambos Kalloniatis, Christos Islam, Shareeful Gritzalis, Stefanos School of Architecture Computing and Engineering University of East London United Kingdom Cultural Informatics Laboratory Dept. of Cultural Technology and Communication University of the Aegean Greece Laboratory of Information and Communication Systems Security Dept. of Information and Communications Systems Engineering University of the Aegean Greece

ISBN: (纸本)9783642403422

cloud computing is a new paradigm with a promising potential. However, issues of security, privacy, and trust raise concerns and discourage its adoption. In previous work we presented a framework for the selection of appropriate cloud provider based on security and privacy requirements criteria. However, the adoption of cloud includes release of control over valuable assets, which constitutes trust in the cloud provider of paramount importance. In this paper we extend the framework by incorporating trust and control concepts in its language and adding a new activity to properly identify and reason about trust assumptions during the selection of appropriate cloud provider. Also, the CASE tool was extended to support the new activity. A case study is used to illustrate the usefulness of our approach. © 2013 Springer-Verlag.

关键词： Trusted computing

Augmented reality and tangible user interfaces integration for enhancing the user experience

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Augmented reality and tangible user interfaces integration f...

11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2012

作者： Rodrigues, Fábio Sato, Fernando Botega, Leonardo Oliveira, Allan Computing and Information Systems Research Lab. Centro Universitário Eurípides de Marília Brazil Wireless Networks and Distributed Interactive Simulations Laboratory Universidade Federal de São Carlos Brazil

ISBN: (纸本)9781450318259

The integration of post-wimp computer interfaces arises as an alternative to meet individual limitations of each one, considering both interaction components and feedbacks to users. Tangible interfaces can present restrictions referring to physical space on tabletop architectures, which limits the manipulation of objects and deprecates the interactive process. Hence, this paper proposes the integration of techniques of mobile Augmented Reality with tabletop tangible architecture for blending real and virtual components on its surface, aiming to make the interactive process richer, seamless and more complete. © 2012 ACM.

关键词： Augmented reality