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Optimization of Cloud Datacenter Using Heuristic Strategic Approach

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Soft Computing and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 900))

Abstract

Task scheduling is extremely challenging as it is very difficult to utilize resources in the best possible manner with low response time and high throughput. Task scheduling can be designed on the basis of different criteria under several rules and regulations. This is simply nothing but an agreement between cloud users and cloud providers. Task scheduling has attracted a lot of attention. It is very challenging due to the heterogeneity of the cloud resources with varying capacities and functionalities. Therefore, minimizing the makespan for task scheduling is a challenging issue. The scheduling algorithm has been emphasized not only on appropriate resource utilization but also on efficient resource utilization. The proposed algorithm performance is estimated based on load balancing of tasks over the nodes and makespan time. Scheduling algorithm is used to enhance the performance of the system by maximizing the CPU utilization, reducing the turnaround time, and maximizing throughput. Tasks are statically scheduled based on which different available resources are allocated at compile time or dynamically. The prime objective for scheduling of task approach in the cloud is to minimize the task completion time, task waiting time and makespan. And also to optimize the utilization of resources.

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Author information

Authors and Affiliations

  1. Computer Science & Engineering, Biju Patnaik Technical University, Rourkela, Odisha, India

    Biswajit Nayak & Sanjay Kumar Padhi

  2. School of Computer Science & Engineering, Kalinga Institute of Industrial Technology University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

Authors
  1. Biswajit Nayak
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  2. Sanjay Kumar Padhi
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  3. Prasant Kumar Pattnaik
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Corresponding author

Correspondence to Biswajit Nayak .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  2. Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangaluru, Karnataka, India

    G. Ram Mohana Reddy

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, Telangana, India

    V. Kamakshi Prasad

  4. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, Telangana, India

    V. Sivakumar Reddy

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Nayak, B., Padhi, S.K., Pattnaik, P.K. (2019). Optimization of Cloud Datacenter Using Heuristic Strategic Approach. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_9

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