A New Task Scheduling Algorithm based on Water Wave Optimization for Cloud Computing

Amer, Dina A.; Attiya, Gamal; Ziedan, Ibrahim; Nasr, Aida A.

doi:10.5120/ijca2021921320

Cited by 2 publications

(3 citation statements)

References 31 publications

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Section: F Water Wave Optimizationmentioning

confidence: 99%

“…Zheng Yu-Jun in [3] proposed a WWO (Water Wave Optimization Algorithm) to minimize virtual machine power consumption. The WWO algorithm's methodology is a modern nature-inspired optimal control algorithm that uses shallow water wave theory to simulate wave motion to improve the system performance [3]. The waves consider three basic procedures to achieve an efficient optimization solution: propagation, refraction, and breaking [5,16,26,[28][29][30][31].…”

Section: F Water Wave Optimizationmentioning

confidence: 99%

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Task consolidation based power consumption minimization in cloud computing environment

Badr

Mahalawy

Attiya

et al. 2022

Multimed Tools Appl

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Cloud Computing is playing a huge role in future technology. Further, with the explosive growth of the Internet and cloud computing, several service providers, such as Amazon, Microsoft, IBM, and Google, have expanded their data centers and rapidly deployed data centers in different places around the world to deliver various cloud computing services. However, several challenges are raised with the wide spread use of cloud environment such as power consumption, load balance, reliability, scalability, and security. This paper tackles the power consumption problem and presents an efficient algorithm, called Task Consolidation based Power Minimization (TCPM), to efficiently schedule tasks onto available resources of the cloud environment so as to minimize power consumption. In proposed TCPM algorithm, several benefits of the existing algorithms are enhanced and incorporated into the TCPM algorithm, where the best-fit procedure is used to achieve the best possible resource utilization and avoid wasting energy. The results of the proposed TCPM algorithm are compared with other recent algorithms such as FCFS, WWO, and MCT algorithms using the CloudSim toolkit.

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Section: F Water Wave Optimizationmentioning

confidence: 99%

Section: F Water Wave Optimizationmentioning

confidence: 99%

Task consolidation based power consumption minimization in cloud computing environment

Badr

Mahalawy

Attiya

et al. 2022

Multimed Tools Appl

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“…In a distributed storage system, because data is stored in multiple nodes dispersedly, the disk utilization and performance load of each node will vary greatly over time, affecting the overall performance of the system [16]. Therefore, how to choose a reasonable node selection algorithm has become the key part of distributed storage.…”

Section: Node Selection Algorithmmentioning

confidence: 99%

A Distributed System Design Based on Cloud Computing

2021

DPS

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With the development of the era of big data, it is becoming more and more important to store efficient and secure massive data. Distributed secure storage technology, combined with distributed storage technology and data encryption technology, has the characteristics of security and mass storage, and has become a hot spot in the field of current information security research. In distributed storage technology, the selection of storage nodes is a key problem. Whether the selected node is reasonable will affect the system performance and the effective utilization of storage capacity. Cloud computing is a form of information storage. The essence of "cloud" is the network. On the one hand, cloud computing is a network that can store data. Users can call data on the "cloud" when using it, according to the amount required by users, and at some level, the storage amount is unlimited. This paper designs and implements a distributed encrypted file storage system based on WebDAV protocol. After using the cloud computing mode, the server side encrypts and divides the file content, and the proposed node selection algorithm is used to store the data on the selected nodes in the server cluster. The function and performance tests of the system show that the system is functioning correctly functional, efficient, safe and easy to use, and has good scalability.

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A New Task Scheduling Algorithm based on Water Wave Optimization for Cloud Computing

Cited by 2 publications

References 31 publications

Task consolidation based power consumption minimization in cloud computing environment

Task consolidation based power consumption minimization in cloud computing environment

A Distributed System Design Based on Cloud Computing

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