Article
Computer Science, Hardware & Architecture
Tarek Hagras
Summary: This paper proposes a mechanism called BlackLight to extend the slack of tasks in schedules produced by dependent-task scheduling algorithms, aiming to reduce energy consumption.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Information Systems
Hao Yuan, Deke Guo, Hanlong Liao, Rui Wu, Jiangfan Li
Summary: This article proposes a collaborative road detection system that tackles the long response time issue in vehicular cloud computing through task scheduling and uploading strategies.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Green & Sustainable Science & Technology
Bin He, Rongxiao Liu, Tengyu Li
Summary: A large part of the global carbon footprint comes from manufacturing. Rational optimization of cutting parameters and production scheduling during processing are the main ways to achieve low-carbon manufacturing. Existing research mainly focuses on either cutting parameters or production scheduling, without considering the coupling relationship between the two.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Software Engineering
Arslan Nedhir Malti, Mourad Hakem, Badr Benmammar
Summary: This article proposes an efficient task scheduling algorithm based on the pollination behavior of flowers, which utilizes Pareto optimality principle and TOPSIS technique to improve the quality of the obtained solutions. Both single and multiobjective optimization variants are investigated, and the merits of the proposed algorithm are confirmed through different test-bed scenarios and QoS metrics.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Meteorology & Atmospheric Sciences
Tanja Zerenner, Victor Venema, Petra Friederichs, Clemens Simmer
Summary: Symbolic regression is used to estimate daily precipitation amounts in the Alpine region, generating a set of downscaling models with different achievable trade-offs between low RMSE and consistency in distribution. Deterministic downscaling models perform better with low RMSE, while stochastic models slightly outperform deterministic models in terms of IQD for the majority of cases. No approach is uniquely superior, with stochastic models providing useful distribution estimates capturing stochastic uncertainty similar to or slightly better than GLM-based downscaling.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Computer Science, Information Systems
An Song, Wei-Neng Chen, Xiaonan Luo, Zhi-Hui Zhan, Jun Zhang
Summary: This article proposes a novel workflow model with composite tasks, which can manage complex workflows and address data transmission between sub-tasks. To solve this problem, a nested particle swarm optimization and a fast version of nested particle swarm optimization are devised.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Information Systems
Hao Yuan, Guoming Tang, Xinyi Li, Deke Guo, Lailong Luo, Xueshan Luo
Summary: The emergence of edge computing addresses transmission delays, but challenges remain in task dispatching and scheduling. This article proposes an online method OTDS that dynamically assigns tasks to optimal edge servers using OL and DRL techniques, achieving efficient and fair task scheduling by allocating appropriate resources to tasks based on their time sensitivity.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Tarek Hagras, Asmaa Atef, Yousef B. Mahdy
Summary: Low-cost and high-performance execution of computing-intensive applications rely on large-scale heterogeneous computing platforms, but this raises the issue of electrical energy consumption. The Green mechanism proposed in this paper aims to reduce energy consumption caused by task duplication and has been shown to significantly reduce energy consumption in various duplication-based list-scheduling algorithms.
JOURNAL OF GRID COMPUTING
(2021)
Article
Computer Science, Interdisciplinary Applications
Harvinder Singh, Sanjay Tyagi, Pardeep Kumar, Sukhpal Singh Gill, Rajkumar Buyya
Summary: This paper discusses various nature-inspired metaheuristic algorithms for scheduling tasks in cloud computing environments and identifies Crow Search Algorithm as the most optimal technique in terms of efficiency and cost through comparative analysis of six algorithms.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Computer Science, Information Systems
Xiaoping Li, Dongyuan Pan, Yadi Wang, Ruben Ruiz
Summary: In this paper, a hybrid resource reliability model is constructed to optimize the QoS for tenants in scheduling workflow instances. The model takes into account both cloud resource reliability and precedence constraints in workflows.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Mao-Lun Chiang, Hui-Ching Hsieh, Yu-Huei Cheng, Wei-Ling Lin, Bo-Hao Zeng
Summary: Cloud computing has become an ideal way to provide various applications, but efficient task scheduling algorithms are crucial. Existing algorithms lack consideration for load balancing among working nodes, so this paper proposes the BCSV scheduling algorithm, which uses different suffrage values to improve task dispatch performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Shuyue Ma, Shudian Song, Lingyu Yang, Jingmei Zhao, Feng Yang, Linbo Zhai
Summary: The proliferation of emerging applications like augmented reality, face recognition, and autonomous driving has led to increased demand for low-latency services, while traditional cloud computing models increase end-to-end latency. Multi-access edge computing is seen as an effective solution, but most existing research focuses on offloading independent tasks rather than addressing the challenge of interdependent subtasks within a task. The proposed queue-based improved multi-objective particle swarm optimization aims to optimize offloading of multi-dependent tasks in multi-access edge computing, showing improved performance compared to other alternatives.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Hardware & Architecture
Yao Song, Liang Wang, Limin Xiao, Wei Wei, Rafal Scherer, Guangjun Qin, Jinquan Wang
Summary: This study proposes a hypergraph-partitioning-based online joint scheduling method to accurately adapt to the dynamic variations of geographically distributed diverse resources and achieve a high system performance.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Automation & Control Systems
Yong Wang, Yixiong Feng, Xuanzhi Jin, Yiping Feng, Zhiwu Li, Jianrong Tan
Summary: To tackle the challenge of industrial big data, software-defined industrial networks are used to manage data flows among heterogeneous and distributed computing resources. This article proposes a novel optimization model for efficiently scheduling homogeneous computing tasks in these networks.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Information Systems
Haihua Gu, Xiaoping Li, Zhipeng Lu
Summary: This paper investigates Spark task scheduling with data skew and deadline constraints, and proposes an optimized algorithm which outperforms existing algorithms in big data processing performance based on experimental results.
Article
Computer Science, Software Engineering
Mohammad Sajid, Zahid Raza, Mohammad Shahid
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2016)
Article
Engineering, Electrical & Electronic
Mohammad Sajid, Zahid Raza
IETE JOURNAL OF RESEARCH
(2016)
Article
Computer Science, Software Engineering
Mohammad Shahid, Zahid Raza, Mohammad Sajid
JOURNAL OF SYSTEMS AND SOFTWARE
(2015)
Article
Computer Science, Artificial Intelligence
Mohammad Sajid, Zahid Raza
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2016)
Article
Thermodynamics
Mohammad Sajid, Zahid Raza
Article
Computer Science, Artificial Intelligence
Mohammad Sajid, Zahid Raza, Mohammad Shahid
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
(2018)
Article
Computer Science, Software Engineering
Raza A. Haidri, Mahfooz Alam, Mohammad Shahid, Shiv Prakash, Mohammad Sajid
Summary: In this article, a receiver initiated deadline aware load balancing strategy (RDLBS2) has been proposed to optimize turnaround time by migrating cloudlets to appropriate virtual machines with met deadlines. The experimental evaluation and analysis suggest that RDLBS2 significantly outperforms its peers on objective parameters.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Environmental Sciences
Shreya Pare, Himanshu Mittal, Mohammad Sajid, Jagdish Chand Bansal, Amit Saxena, Tony Jan, Witold Pedrycz, Mukesh Prasad
Summary: Segmentation techniques in remote sensing imagery face challenges such as dense features, low illumination, uncertainties, and noise. Existing multilevel thresholding methods lack spatial information, leading to low segmentation accuracy.
Article
Multidisciplinary Sciences
Mohammad Sajid, Jagendra Singh, Raza Abbas Haidri, Mukesh Prasad, Vijayakumar Varadarajan, Ketan Kotecha, Deepak Garg
Summary: Smart logistics is essential in smart city development, requiring efficient service to geographically distributed customers through a fleet of vehicles. The capacitated vehicle routing problem (CVRP) is a well-known NP-hard optimization problem with real-life applications in delivery, pharmaceutical distribution, and disaster relief. A novel giant tour best cost crossover (GTBCX) operator is proposed to assist in finding optimal solutions for CVRP, improving distance traveled and route length.
Article
Computer Science, Software Engineering
Shivom Sharma, Mohammad Sajid
Summary: The exponential growth in the number of IoT devices has led to increased data generation and service requirements, posing challenges in accessing cloud computing. There is a need for a smart computing paradigm to bridge cloud computing and IoT devices to enhance service performances and optimize resource utilization. This study provides an overview of fog computing in the context of cloud computing and IoT, highlighting key differences and presenting various issues and challenges.
INTERNATIONAL JOURNAL OF CLOUD APPLICATIONS AND COMPUTING
(2021)
Article
Computer Science, Information Systems
Mohammad Sajid, Zahid Raza
INTERNATIONAL JOURNAL OF DISTRIBUTED SYSTEMS AND TECHNOLOGIES
(2015)
