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An Elastic Scheduling Algorithm For Resource Co-Allocation Based on System Generated Predictions With Priority

Surendran. R, B. Parvatha Varthini
2014 International journal of computer and communication technology  
Here we make use of the Scheduling queue and Resource Co-Allocation to reduce the Turn-around time with an advanced concept of System Generated Prediction based on Priority.  ...  In proposed work we are scheduling the resource co-allocation request based on system generated predictions through Discovery service & Priority (fairness and user experience) through topological sorting  ...  Grid computing actually shares its resources and services in a wide-scale computing organization.  ... 
doi:10.47893/ijcct.2014.1223 fatcat:mc7zhp7xebgotd7f53jltuwobu

An Improved Performance Analysis Of Priority Scheduling Algorithm In Modified Ad Hoc Grid Layer

R Bhaskaran
2012 International Journal of Distributed and Parallel systems  
An improved performance analysis of priority based scheduling algorithm for the ad hoc grid layer is presented in this paper.  ...  A priority queuing model is developed to reduce the execution time of the jobs. Here, jobs to be dispatched based on priority. Execution time is one prime metric proposed for the system.  ...  The standard performance measures are average waiting time of job in a system, service time, waiting time in queue etc. The priority allocated is based on linguistic parameters using fuzzy scheme.  ... 
doi:10.5121/ijdps.2012.3120 fatcat:r7btzkxzoja4bbrwh6advg3jmy

A QoS-aware Graded Erosion Queuing Model in Smart Grid

Jin-Song HU, Yan-Zhi SUN, Zhi-Jun TIAN, Xuan LIU
2017 DEStech Transactions on Engineering and Technology Research  
And the simulation analysis shows that the performance of high priority messages can get a reliable guarantee, and most of the lower priority levels of messages can get an acceptable performance.  ...  With the growing demand for information priority processing in SG, a channel allocation and traffic scheduling scheme is necessary to ensure the implement of QoS.  ...  Graded Erosion Queuing Model (GEQM) Model description and analysis The innovative model GEQM in our paper is based on the QoS level of numerous communication messages in smart grid, which can be determined  ... 
doi:10.12783/dtetr/iceeac2017/10720 fatcat:ynlf5sdiergevjke54riniaypi

QoS-Aware Cost Minimization Strategy for AMI Applications in Smart Grid Using Cloud Computing

Asfandyar Khan, Arif Iqbal Umar, Syed Hamad Shirazi, Waqar Ishaq, Mohsin Shah, Muhammad Assam, Abdullah Mohamed
2022 Sensors  
However, Utility providers in Smart Grid are facing challenges in the design and implementation of such architecture in order to minimize the cost of underlying hardware, software, and network services  ...  In such context, this article introduces a QoS-aware Hybrid Queue Scheduling (HQS) model that can be seen over the IoT-based network integrated with cloud environment for different advanced metering infrastructure  ...  resources used in simulation modeling during my IRSIP scholarship for PhD study funded by the Higher Education Commission (HEC) of Pakistan.  ... 
doi:10.3390/s22134969 pmid:35808459 pmcid:PMC9269858 fatcat:gmm7ew7sjjgrrjldj6y6oerxxm

Evaluation of WiMAX Technology in Smart Grid Communications

Ban A. Al-Omar, Taha Landolsi, A. R. Al-Ali
2015 Journal of Communications  
The traffic then is scheduled using three scheduling algorithms namely; Class-Based Weighted Fair (CB-WFQ), Class-Based Deficit Weighted Round-Robin (CB-DWRR) and class-based strict priority (CB-SPQ) scheduling  ...  As for class 3 applications, results show that in order to satisfy the latency requirements, the maximum number of smart grid devices that can be placed in a cell should not be more than 250.  ...  RESULTS AND ANALYSIS To validate the proposed five different priority classes, a simulation program for each class is developed and run utilizing the base station scheduling algorithms namely; CB-WFQ,  ... 
doi:10.12720/jcm.10.10.804-811 fatcat:nsrifyzpebafdfjmz7vdgsurey

Cost Optimization based Resource Allocation Scheme for Vehicular Cloud Networks

Mahantesh G. Kambalimath, Electronics and Instrumentation Engineering Department Basaveshwar Engineering College (Autonomous), Bagalkot - 587102, Karnataka, India, Mahabaleshwar S. Kakkasageri
2020 International Journal of Computer Network and Information Security  
Efficient resource allocation scheme in VCN plays a major role in the overall performance of the system. Members of VCN change dynamically due to the mobility in their movement.  ...  Proper resource allocation schemes in VCN provides the better performance in terms the reduction of cost, reduction in the waiting time of vehicle (client) and also the waiting queue length.  ...  The main objective of this approach is to adopt the grid agent which performs the job scheduling based on the immediate request and advance request.  ... 
doi:10.5815/ijcnis.2020.02.03 fatcat:koabhro6dfewlipxvbqgqax5fu

Spectrum Management in Cognitive Radio Networks

Wail Mardini, Yaser Khamayseh, Samah Jawad Al-Zaro
2018 Innovative Computing Information and Control Express Letters, Part B: Applications  
This work provides a short survey of CR-based spectrum management schemes along with novel classifications model for these schemes.  ...  To summarize, a review and discussion of several case studies existing in the literature are given.  ...  A quality-of-service differential transmission scheduling approach is proposed in the CR-based smart grid communications network [5] .  ... 
doi:10.24507/icicelb.09.09.887 fatcat:3b3badhh4jf7xmu4glfclelrkq

Performance Evaluation of Gang Scheduling Policies with Migration in a Grid System

Cheul-Woo Ro, Yang Cao
2010 International Journal of Contents  
SRN is an extension of Stochastic Petri Net (SPN) and provides compact modeling facilities for system analysis. Threshold queue is adopted to smooth the variations of performance measures.  ...  Effective job scheduling scheme is a crucial part of complex heterogeneous distributed systems.  ...  SRN AND THRESHOLD QUEUES SRN Stochastic Reward Net (SRN) is based on the Markov Reward Model (MRM) [7] which provides a powerful modeling environment for dependability analysis, performance analysis  ... 
doi:10.5392/ijoc.2010.6.4.030 fatcat:aw6iuov335gt3fuuynatzx5uvy

TSOU: A combined Traffic Scheduling, Optimization and Utility function based on Sailfish optimized DCNN in a Smart Grid (SG) communication network

Sabita Nayak
2020 International Journal of Advanced Trends in Computer Science and Engineering  
The results of the analysis demonstrate that the proposed approach on the SG system will executes substantially better scheduling than all other perceived models, suggesting that the prototype proposed  ...  data traffic scheduling framework in a CR-SG communication network based on an advanced sailfish optimized Deep Convolutional neural network (SF-DCNN) for an effectual Smart grid communication system.  ...  data traffic scheduling framework based on priority in a CR based SG communication networkare portrayed in an efficient model that comprises the best attributes of DCNN and SF Optimizer to increase performance  ... 
doi:10.30534/ijatcse/2020/40942020 fatcat:jj2sx6u3v5e7rl4ronaoqi7fnm

Performance Modeling and Analysis for Resource Scheduling in Data Grids [chapter]

Yajuan Li, Chuang Lin, Quanlin Li, Zhiguang Shan
2005 Lecture Notes in Computer Science  
Within this framework, we model and analyze the performance of resource scheduling in Data Grids, allowing for a wide variety of job and data scheduling algorithms.  ...  Data Grids normally deal with large data-intensive problems on geographically distributed resources; yet, most current research on performance evaluation of resource scheduling in Data Grids is based on  ...  SPN Model To study the performance of resource scheduling in Data Grids, we adopt the modeling and analysis method, which allows for the performance evaluation in various scenarios.  ... 
doi:10.1007/11577188_5 fatcat:hoclujy3tbbbraaudq3ldi4ypa

An Optimum Scheduling Approach for Creating Optimal Priority of Jobs with Business Values in Cloud Computing [article]

Vivek Sharma, T. R. Gopalakrishnan Nair
2014 arXiv   pre-print
Realizing an optimal task scheduling by taking into account the business importance of jobs has become a matter of interest in pay and use model of Cloud computing.  ...  Along with the technical priority a business Bp is required in creating a resultant priority which could be given to stages of further processing, like task allocation and arbitration schemes.  ...  Based upon analysis on these two phases of job scheduling they have introduced a new dispatching rule for resource selection in the grid called MM*.  ... 
arXiv:1407.5320v1 fatcat:ttbnyww7f5dubm3ngh5gmihmxq

An Adaptive Uplink Resource Allocation Scheme for LTE in Smart Grid

Ruiyi Zhu, Xiaobin Tan, Jian Yang, Shi Chen, Haifeng Wang, Kai Yu, Zhiyong Bu
2013 Journal of Communications  
An adaptive-scheduling scheme based on the delay time of the queues and the length of the queues is further introduced.  ...  In this paper, we propose an Adaptive Wireless Resource Allocation (AWRA) scheme for the uplink of LTE-based cellular systems, which takes into account the user's priority and fairness.  ...  In Section II we describe related work for smart grid. System model is presented in Section III. An AWRA scheme is developed to improve the level of service quality in Section IV.  ... 
doi:10.12720/jcm.8.8.505-511 fatcat:yhyuxqktpzfp3eectfj4crls3m

A PEV Charging Service Model for Smart Grids

Khaled Shuaib, Liren Zhang, Ahmed Gaouda, Mohammed Abdel-Hafez
2012 Energies  
The paper introduces the concept of Charging Quality of Service (CQoS) as a smart electric vehicle charging scheme and models it using a priority-controlled leaky bucket approach.  ...  This paper discusses a priority-based approach for charging PEVs in a Smart Grid environment.  ...  Analysis of the Controlled Priority Leaky Bucket The fluid flow technique [25] is used in the performance analysis of the priority leaky bucket associated with a set of thresholds, in which the population  ... 
doi:10.3390/en5114665 fatcat:oxuncpxyg5hpfmjv5kfmx2iwxu

An Advanced Approach On Load Balancing in Grid Computing [article]

Dushyant Vaghela
2014 arXiv   pre-print
Workload and resource management is the main key grid services at the service level of grid infrastructures, out of which load balancing in the main concern for grid developers.  ...  It has been found that load is the major problem which server faces, especially when the number of users increases. A lot of research is being done in the area of load management.  ...  This paper has described an overview of most of the important algorithms so that the reader will be able to find the suitable algorithm in different grid computing environment.  ... 
arXiv:1409.3651v1 fatcat:mwz6akjurbceplbfhndwr4c52e

A Distributed QoS-Constraint Task Scheduling Scheme in Cloud Computing Environment: Model and Algorithm

Bing Li, A Meina Song, Junde Song
2012 Advances in Information Sciences and Service Sciences  
Therefore, how to scheduling tasks for resource is a key problem. Most of scheduling schemes proceeding nowadays have no QoS differentiation, which is necessary for Cloud Computing service operation.  ...  Inspired by Grid Computing and P2P network, this paper presents a QoS-differentiatet system model for sharing resource between different QoS-constrained users in Cloud Computing system at first.  ...  In this paper, we introduce a QoS-constraint task-scheduling scheme Inspired by Grid Computing and P2P Network, this paper proposes a distributed QoS-constraint task-scheduling (DQCTS) scheme based on  ... 
doi:10.4156/aiss.vol4.issue5.34 fatcat:fkdfjfeogjhg7k7zywp3jzc5eu
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