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What is Computing Grid

Role of IoT in Green Energy Systems
It is a technique of combining via networking the computing power of multiple computers which are geographically distributed but are directly interacting to each others to accomplish computationally intensive jobs.
Published in Chapter:
Incentive-Based Scheduling for Green Computational Grid
Low Tang Jung (Universiti Teknologi PETRONAS, Malaysia) and Ahmed Abba Haruna (Skyline University, Nigeria)
Copyright: © 2021 |Pages: 22
DOI: 10.4018/978-1-7998-6709-8.ch012
Abstract
In the computing grid environment, jobs scheduling is fundamentally the process of allocating computing jobs with choices relevant to the available resources. As the scale of grid computing system grows in size over time, exponential increase in energy consumption is foreseen. As such, large data centers (DC) are embarking on green computing initiatives to address the IT operations impact on the environment. The main component within a computing system consuming the most electricity and generating the most heat is the microprocessor. The heat generated by these high-performance microprocessors is emitting high CO2 footprint. Therefore, jobs scheduling with thermal considerations (thermal-aware) to the microprocessors is important in DC grid operations. An approach for jobs scheduling is proposed in this chapter for reducing electricity usage (green computing) in DC grid. This approach is the outcome of the R&D works based on the DC grid environment in Universiti Teknologi PETRONAS, Malaysia.
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More Results
Effective Resource Allocation and Job Scheduling Mechanisms for Load Sharing in a Computational Grid
A kind of grid computing platform that focuses on integrating computing resources at different places for solving computing-intensive problems or applications.
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