A Resource Allocation Mechanism for Edge-Blockchain

2020 ◽  
pp. 649-658
Author(s):  
Weichao Gong ◽  
Yidong Yuan ◽  
Dongyan Zhao ◽  
Wuyang Zhang ◽  
Sujie Shao
Keyword(s):  
Resource Allocation ◽  
Allocation Mechanism ◽  
Resource Allocation Mechanism

scholarly journals An Efficient Resource Allocation Mechanism for LTE–GEPON Converged Networks

2013 ◽  
Vol 22 (3) ◽  
pp. 437-461 ◽  
Author(s):  
Chathurika Ranaweera ◽  
Elaine Wong ◽  
Christina Lim ◽  
Ampalavanapillai Nirmalathas ◽  
Chamil Jayasundara
Keyword(s):  
Resource Allocation ◽  
Allocation Mechanism ◽  
Efficient Resource ◽  
Resource Allocation Mechanism

scholarly journals Modeling a holonic agent based solution by Petri nets

2012 ◽  
Vol 9 (3) ◽  
pp. 1287-1305 ◽  
Author(s):  
Carlos Pascal ◽  
Doru Panescu
Keyword(s):  
Resource Allocation ◽  
Petri Nets ◽  
Petri Net ◽  
Coordination Mechanisms ◽  
Allocation Mechanism ◽  
Simulation Experiments ◽  
Agent Based ◽  
Manufacturing Execution Systems ◽  
Resource Allocation Mechanism ◽  
Manufacturing Execution

One of the key design issues for distributed systems is to find proper planning and coordination mechanisms when knowledge and decision capabilities are spread along the system. This contribution refers holonic manufacturing execution systems and highlights the way a proper modeling method - Petri nets - makes evident certain problems that can appear when agents have to simultaneously treat more goals. According to holonic organization the planning phase is mainly dependent on finding an appropriate resource allocation mechanism. The type of weakness is established by means of the proposed Petri net models and further proved by simulation experiments. A solution to make the holonic scheme avoid a failure in resource allocation is mentioned, too.

Cloud Adaptive Resource Allocation Mechanism for Efficient Parallel Processing

2014 ◽  
Vol 4 (4) ◽  
pp. 1-6 ◽  
Author(s):  
Manisha Malhotra ◽  
Rahul Malhotra
Keyword(s):  
Resource Allocation ◽  
Parallel Processing ◽  
Virtual Machines ◽  
Resource Provisioning ◽  
Cloud Provider ◽  
Adaptive Resource Allocation ◽  
Cloud Environment ◽  
Allocation Mechanism ◽  
Adaptive Resource ◽  
Resource Allocation Mechanism

As cloud based services becomes more assorted, resource provisioning becomes more challenges. This is an important issue that how resource may be allocated. The cloud environment offered distinct types of virtual machines and cloud provider distribute those services. This is necessary to adjust the allocation of services with the demand of user. This paper presents an adaptive resource allocation mechanism for efficient parallel processing based on cloud. Using this mechanism the provider's job becomes easier and having the least chance for the wastage of resources and time.

Resource Allocation Mechanism with New Models for Grid Environment

2013 ◽  
Vol 5 (2) ◽  
pp. 1-26
Author(s):  
Kuppani Sathish ◽  
A. Rama Mohan Reddy
Keyword(s):  
Resource Allocation ◽  
Waiting Time ◽  
Vital Role ◽  
Allocation Mechanism ◽  
Grid Resource ◽  
Grid Environment ◽  
Grid Resources ◽  
Utilization Cost ◽  
Resource Allocation Mechanism ◽  
Grid Resource Allocation

Resource allocation is playing a vital role in grid environment because of the dynamic and heterogeneous nature of grid resources. Literature offers numerous studies and techniques to solve the grid resource allocation problem. Some of the drawbacks occur during grid resource allocation are low utilization, less economic reliability and increased waiting time of the jobs. These problems were occurred because of the inconsiderable level in the code of allocating right resources to right jobs, poor economic model and lack of provision to minimize the waiting time of jobs to get their resources. So, all these drawbacks need to be solved in any upcoming resource allocation technique. Hence in this paper, the efficiency of the resource allocation mechanism is improved by proposing two allocation models. Both the allocation models have used the Genetic Algorithm to overcome all the aforesaid drawbacks. However, one of the allocation models includes penalty function and the other does not consider the economic reliability. Both the models are implemented and experimented with different number of jobs and resources. The proposed models are compared with the conventional resource allocation models in terms of utilization, cost factor, failure rate and make span.

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