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IETE Journal of Research Volume 62, 2016 - Issue 3
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Articles

Turnaround Time Minimization-Based Static Scheduling Model Using Task Duplication for Fine-Grained Parallel Applications onto Hybrid Cloud Environment

Mohammad SajidSchool of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, IndiaView further author information
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Zahid RazaSchool of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, IndiaView further author information
Pages 402-414 | Published online: 19 Aug 2015

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J. Angela Jennifa Sujana, T. Revathi & S. Joshua Rajanayagam. (2020) Fuzzy-based Security-Driven Optimistic Scheduling of Scientific Workflows in Cloud Computing. IETE Journal of Research 66:2, pages 224-241.
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Articles from other publishers (13)

Laila Bouhouch, Mostapha Zbakh & Claude Tadonki. (2023) Online Task Scheduling of Big Data Applications in the Cloud Environment. Information 14:5, pages 292.
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Sanjeev Sharma & Neeraj Kumar Pandey. (2022) Improved Task Scheduling Strategy Using Reinforcement Learning in Cloud Environment. Improved Task Scheduling Strategy Using Reinforcement Learning in Cloud Environment.
Chang Shu, Yinhui Luo & Fang Liu. (2022) Exploiting Duplications for Efficient Task Offloading in Multi-User Edge Computing. Electronics 11:14, pages 2244.
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Nageswara Rao Atyam, Ramesh Babu P, Nihar Ranjan Nayak, Utpal Saikia, K S Ananda Kumar & Aravindharamanan S. (2022) An Hybrid Modelling for Optimal Utilisation on Cloud Resources using Machine Learning Algorithm. An Hybrid Modelling for Optimal Utilisation on Cloud Resources using Machine Learning Algorithm.
Long Zhang, Leyi Liu, Bailong Chai, Man Xu & Yuhong Song. (2020) Multi-resolution 3D reconstruction of cultural landscape heritage based on cloud computing and hd image data. Journal of Intelligent & Fuzzy Systems, pages 1-11.
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Mohammad Masdari & Mehran Zangakani. (2019) Efficient task and workflow scheduling in inter-cloud environments: challenges and opportunities. The Journal of Supercomputing 76:1, pages 499-535.
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Mohammad Sajid & Zahid Raza. (2019) Energy‐efficient quantum‐inspired stochastic Q‐HypE algorithm for batch‐of‐stochastic‐tasks on heterogeneous DVFS‐enabled processors. Concurrency and Computation: Practice and Experience 31:20.
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Mohit Kumar, S.C. Sharma, Anubhav Goel & S.P. Singh. (2019) A comprehensive survey for scheduling techniques in cloud computing. Journal of Network and Computer Applications 143, pages 1-33.
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R.A. Haidri, C.P. Katti & P.C. Saxena. (2019) Cost-effective deadline-aware stochastic scheduling strategy for workflow applications on virtual machines in cloud computing. Concurrency and Computation: Practice and Experience 31:7, pages e5006.
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Diyi Hu & Bhaskar Krishnamachari. (2019) Throughput Optimized Scheduler for Dispersed Computing Systems. Throughput Optimized Scheduler for Dispersed Computing Systems.
Sourav Banerjee, Riman Mandal & Utpal Biswas. (2017) An Approach Towards Amelioration of an Efficient VM Allocation Policy in Cloud Computing Domain. Wireless Personal Communications 98:2, pages 1799-1820.
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A. J. Rubio-Montero, M. A. Rodríguez-Pascual & R. Mayo-García. (2016) A simple model to exploit reliable algorithms in cloud federations. Soft Computing 21:16, pages 4543-4555.
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Mohammad Sajid, Zahid Raza & Mohammad Shahid. (2016) Energy-efficient scheduling algorithms for batch-of-tasks (BoT) applications on heterogeneous computing systems. Concurrency and Computation: Practice and Experience 28:9, pages 2644-2669.
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