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Since many real-world design or decision making problems involve simultaneous optimization of multiple objectives [23], we designed a resource allocation optimization model that will fully integrate the two factors of energy-efficient optimization and makespan optimization.
There are a few works that consider EE in D2D communications, but only for single-antenna BSs, e.g., [28, 29], and [30], where the first one proposed a coalition formation method, the second one designed a resource allocation scheme, and the third one aimed at prolonging the battery life of user devices.
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To design a resource allocation algorithm in C-RAN systems, it is necessary to study a strategic decision-making process.
When faced by the task of designing a resource allocation methodology, many external and internal challenges should be considered.
Before designing a resource management and scheduling procedure for relaying, it is curtail to get a full understanding of the RN configuration schemes supported by the LTE-A system.
Designing a resource management model which can be applied and adjusted to the requirements of these different future complex computing environments is an extra challenge.
This paper designs a resource allocation scheduler for such multi-tier autonomic environments so as to maximize the profits associated with multiple class SLAs.
Hence it is necessary to design a resource brokering mechanism that assures job(s) execution and satisfies needs of consumers and providers.
The goal of this research was to derive a metric for measuring robustness in this environment and to design a resource allocation heuristic capable of completing each rasterization task before its assigned deadline, thus, preventing any service interruptions.
Our main goal in this context, is to design a resource allocation and scheduling approach that takes these considerations in mind for a C-RAN based network as well as being user-centric and achieving fairness in a multi-point fashion.
Methods of determining in-season corn (Zea mays L). nitrogen (N) requirements and yield estimates are needed for designing a resource-efficient corn production system that is both profitable and environmentally sustainable.
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