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An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Network and Overloads

Kavita A. Sultanpure, L. S. S. Reddy
2018 International Journal of Electrical and Computer Engineering (IJECE)  
This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads  ...  So energy aware task scheduling is a major concern in cloud computing as energy consumption results into significant waste of energy, reduce the profit margin and also high carbon emissions which is not  ...  resource scheduling strategy based on genetic algorithm is designed on the basis of this model.  ... 
doi:10.11591/ijece.v8i2.pp1018-1027 fatcat:xbuu2wg35zaulei4cu5jnnxv54

RESOURCE SCHEDULING IN CLOUD ENVIRONMET: A SURVEY

Neeraj Mangla, Manpreet Singh, Sanjeev Rana
2016 Advances in Science and Technology Research Journal  
In this paper, a comprehensive survey of research related to various aspects of cloud resource scheduling is provided.  ...  This perspective brings out certain vital factors for efficient scheduling of resources providing a wide genre of characteristics, diversity in context of level of service agreements and that too with  ...  with SLA constraints is established and based on the request model a cost-aware service request scheduling using genetic approach is presented Cost, Resource Utilization Java based simulator The proposed  ... 
doi:10.12913/22998624/62746 fatcat:dyky2j5kxbaulllhmtcidt6cjm

Energy Efficient Load Balancing Aware Task Scheduling in Cloud Computing using MultiObjective Chaotic Darwinian Chicken Swarm Optimization

G. Kiruthiga, S. Mary Vennila
2020 International Journal of Computer Networks And Applications  
This performance enhanced CDCSO algorithm models the cloud task scheduling problem as NP-hard and utilizes the optimization principles to solve them based on multiple objective parameters.  ...  Scheduling of tasks in a cloud environment has larger influence on time and energy depletion. Different heuristic models were developed to solve the NP-hard task scheduling problem based on time.  ...  Figure 2 Energy Evaluation To validate the competence of the suggested CDCSO algorithm, the results are equated with the prevailing optimization based energy and load aware task scheduling strategies.  ... 
doi:10.22247/ijcna/2020/196040 fatcat:cip7tae6graclb6am5td2e6y3a

Hadoop MapReduce Job Scheduling Algorithms Survey and Use Cases

Alaa A. Abdallat, Arwa I. Alahmad, Duaa A. AlSahebAlT amimi, Jaber A. AlWidian
2019 Modern Applied Science  
The light is shed on different classifications: Cluster Environment, Job Allocation Strategy, Optimization Strategy, and Metrics of Quality.  ...  Along this paradigm, the need for processing mostly real time data among other factors highlights the need for optimized Job Scheduling Algorithms, which is the interest of this paper.  ...  Resource Aware Scheduler Resource Aware Scheduler technique seeks to utilize the resources (network, disk, CPU) within the cluster.  ... 
doi:10.5539/mas.v13n7p38 fatcat:ny3wuoodmzcm5azj4awgst6hm4

QoE-aware Optimization of Video Stream Downlink Scheduling Over LTE Networks Using RNNs and Genetic Algorithm

Tarik Ghalut, Hadi Larijani, Ali Shahrabi
2016 Procedia Computer Science  
Our approach focuses on the development of Quality of Experience (QoE) aware optimization downlink scheduling video traffic flow.  ...  This work introduces a novel integration framework between genetic algorithm (GA) and random neural networks (RNN) applied to QoE-aware optimization of video stream downlink scheduling.  ...  General Classification of Scheduling Strategies Scheduling strategies are classified into several types as follows: (i) Channel insensitive Strategy, (ii) Channel sensitive without QoS-aware Strategy and  ... 
doi:10.1016/j.procs.2016.08.036 fatcat:hlgt7qswdncozckfxxbp64xzjq

Hybrid PSO-MOBA for Profit Maximization in Cloud Computing

Dr. Salu
2015 International Journal of Advanced Computer Science and Applications  
Resource Scheduling is one of the main concerns in profit maximization for which we take HYBRID PSO-MOBA as it resolves the global convergence problem, faster convergence, less parameter to tune, easier  ...  Cloud service provider need to manage the resources and as well as optimize the resources to maximize the profit.  ...  Managing Multiserver through M/M/m Queuing model will provided efficient resource management. Optimizing Resources through MOBA will achieve Faster Global convergence.  ... 
doi:10.14569/ijacsa.2015.060223 fatcat:zrrshswfv5cthmydtgpk2yiw5i

A Survey on Job Scheduling in Big Data

M. Senthilkumar, P. Ilango
2016 Cybernetics and Information Technologies  
Various scheduling algorithms of the MapReduce model using Hadoop vary with design and behavior, and are used for handling many issues like data locality, awareness with resource, energy and time.  ...  This paper gives the outline of job scheduling, classification of the scheduler, and comparison of different existing algorithms with advantages, drawbacks, limitations.  ...  Deadline Aware scheduler, Resource aware scheduler and Energy aware scheduler are used in dynamic scheduling strategy.  ... 
doi:10.1515/cait-2016-0033 fatcat:psrtc3l3dzgkfklqjl6hr3qczi

Adaptive energy efficient scheduling in Peer-to-Peer desktop grids

Andrei Tchernykh, Johnatan E. Pecero, Aritz Barrondo, Elisa Schaeffer
2014 Future generations computer systems  
[23] present a framework based on three components: an on/off model based on an energy-aware resource infrastructure, a resource management system adapted for energy efficiency, and a trust delegation  ...  [10] considering energy-aware strategies together with knowledge-free optimization scheduling.  ... 
doi:10.1016/j.future.2013.07.011 fatcat:5dxtk52jnvasjkfhmbjc737lte

Distributed Memory Graph Representation for Load Balancing Data: Accelerating Data Structure Generation for Decentralized Scheduling

Vinicius Freitas, Alexandre de L. Santana, Marcio Castro, Laercio L. Pilla
2019 2019 International Conference on High Performance Computing & Simulation (HPCS)  
Additionally, we propose a proofof-concept distributed scheduler that uses DGM, named Edge Migration, and its implementation in the Charm++ parallel programming model.  ...  These results show that, although the communication analysis is much faster with DGM, it is still the most relevant overhead in distributed LBs.  ...  Moreover, we have compared the Edge Migration scheduling to other communication-aware and distributed strategies available in Charm++.  ... 
doi:10.1109/hpcs48598.2019.9188134 dblp:conf/ieeehpcs/FreitasSCP19 fatcat:2dyntst5mjh7bedpsh7kdej7hm

Current Perspective in Task Scheduling Techniques in Cloud Computing: A Review

Jyoti Thaman, Manpreet Singh
2016 International Journal in Foundations of Computer Science & Technology  
Several techniques have been invented and tested by research community for generation of optimal schedules in cloud computing.  ...  Clients can access software resources, valuable information and hardware devices as a subscribed and monitored service over a network through cloud computing.Due to large number of requests for access  ...  In [6] , authors proposed a model for resource-task mapping which could reduce execution cost and also designed a PSO based heuristic to allocate tasks to resources.  ... 
doi:10.5121/ijfcst.2016.6106 fatcat:zlpikdkjgffjppjlfd7xwy2peu

QoS-Based Service-Time Scheduling in the IoT-Edge Cloud

Briytone Mutichiro, Minh-Ngoc Tran, Young-Han Kim
2021 Sensors  
The effectiveness of our scheduling model is demonstrated through implementation on KubeEdge, a container orchestration platform based on Kubernetes.  ...  In this paper, we propose STaSA, a service time aware scheduler for the edge environment.  ...  The modeling of container scheduling through an optimization approach facilitates the problem to be solved mathematically.  ... 
doi:10.3390/s21175797 pmid:34502688 pmcid:PMC8434349 fatcat:hsbz5kcgsjcbfitxmwmrz3jzwe

Review on Multiobjective Task Scheduling in Cloud Computing using Nature Inspired Algorithms

Shikha Chaudhary, Saroj Hiranwal, C. P. Gupta
2018 International Journal of Emerging Research in Management and Technology  
In cloud computing huge pool of resources are available and shared through internet. The scheduling is a core technique which determines the performance of a cloud computing system.  ...  In this paper we provide a survey as well as a comparative analysis of various existing nature inspired scheduling algorithms which are based on genetic algorithm and ant colony optimization algorithm.  ...  energy CloudSim Cloud task scheduling based on load balancing ant colony optimization[20] Independent makespan CloudSim A load-adapative cloud resource scheduling model based on ant colony  ... 
doi:10.23956/ijermt.v6i8.153 fatcat:ipamfif6nrfnlpb42bjrmfvrae

Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions [article]

Muhammad H. Hilman, Maria A. Rodriguez, Rajkumar Buyya
2019 arXiv   pre-print
We present a detailed taxonomy from the existing solutions on scheduling and resource provisioning aspects followed by the survey of relevant works in this area.  ...  In this paper, we identify the problems and challenges in the multiple workflows scheduling that adhere to the platforms.  ...  However, CWSA did not further optimize their cost minimization strategy using a speci c cost-aware resource provisioning technique.  ... 
arXiv:1809.05574v2 fatcat:qnjb3ubmrbayhol2u3ujccflom

Thermal and Power-Aware VM Scheduling on Cloud Computing in Data Center

Abdolkhalegh Baluch, Amirkabir univercity ,departemant of computer and network engineering
2019 International Journal of Engineering Research and  
The experimental results show that the proposed scheduling scheme, combining the power-aware with the thermal-aware scheduling strategies, significantly reduces the energy consumption of a given Data Center  ...  because of its thermal-aware strategy and the support of VM migration mechanisms.  ...  [10] implement a guest-aware priority-based scheduling scheme, which is specifically designed to support latency-sensitive workloads.  ... 
doi:10.17577/ijertv8is060464 fatcat:sgbqluig3zhprov5yfon4tnley

DupM: a Data Replica Allocation Strategy for Distributed Mining

Maoran Wang
2021 Procedia Computer Science  
In this paper, data replicas as a resource were incorporated into the resource scheduling strategy for distributed data mining to offer a replica-aware resource scheduling strategy DupM.  ...  In this paper, data replicas as a resource were incorporated into the resource scheduling strategy for distributed data mining to offer a replica-aware resource scheduling strategy DupM.  ...  Summary In this paper, data replicas as a resource were incorporated into the resource scheduling strategy for distributed data mining to offer a replica-aware resource scheduling strategy DupM.  ... 
doi:10.1016/j.procs.2021.05.062 fatcat:6qc2btjr4fhgnm5oacffhyr62a
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