Mahmood, Farrukh and Khan, Farrukh Zeeshan and Ahmed, Muneer and Ahmad, Iftikhar and Gupta, Brij B. (2022) GreenCloudNet plus plus : Simulation framework for energy efficient and secure, green job scheduling in geographically distributed data centers. Transactions on Emerging Telecommunications Technologies, 33 (4, SI). ISSN 2161-3915, DOI https://doi.org/10.1002/ett.4232.
Full text not available from this repository.Abstract
Geographically distributed data centers are used as backbone infrastructure to meet rapidly increasing service demands of computations and data storage in cloud computing. This increase results in high energy consumption, increased operational expenditures, and high carbon footprint which are becoming points of great concern for service providers. In this research work, we present a simulation framework named GreenCloudNet++ for simulation and evaluation of energy-efficient, green-aware, and secure job scheduling mechanisms for geographically distributed data centers. GreenCloudNet++ has been developed as an extension to CloudNetSim++, which is designed to simulate distributed data center architectures connected with high speed networks. The functionality of CloudNetSim++ is extended by adding hierarchical job scheduling mechanism, hierarchical statistics collection mechanism and integration mechanism for green energy. Proposed model considers availability of green energy at each data center and maximizes its utilization. It considers the amount of underutilized computational resources at individual data centers while assigning jobs to the data centers, which helps to achieve better server consolidation resulting in better energy efficiency. Proposed model also relies on network load inside each data center which helps avoiding hotspots.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | GreenCloudNet; Simulation framework; Geographically distributed data |
| Subjects: | Z Bibliography. Library Science. Information Resources > Libraries > Library science. Information science |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Information Science |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 10 Oct 2023 05:24 |
| Last Modified: | 10 Oct 2023 05:24 |
| URI: | http://eprints.um.edu.my/id/eprint/42463 |
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