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A simulation-based study of scheduling mechanisms for a dynamic cluster environment

Yanyong Zhang, Anand Sivasubramaniam, Jose Moreira, Hubertus Franke
2000 Proceedings of the 14th international conference on Supercomputing - ICS '00  
lot of promise for cluster scheduling.  ...  Instead, an emerging class of dynamic coscheduling mechanisms, that attempt to take remedial actions to guide the system towards coscheduled execution without requiring explicit synchronization, o er a  ...  The second scheduling step, temporal scheduling, is perhaps more important for a cluster.  ... 
doi:10.1145/335231.335241 dblp:conf/ics/ZhangSMF00 fatcat:hpmd4rdgljghratzeff5wlzh2y

SCARL: Attentive Reinforcement Learning based Scheduling in a Multi-Resource Heterogeneous Cluster

Mukoe Cheong, Hyunsung Lee, Ikjun Yeom, Honguk Woo
2019 IEEE Access  
To the best of our knowledge, we are the first to employ attention mechanism in RL-based cluster resource management.  ...  In this paper, we present an RL-based scheduler for a multi-resource cluster, namely SCARL (SCheduler with Attentive Reinforcement Learning), concentrating on intricate cluster operating conditions with  ...  We implement a simulator for a multi-resource heterogeneous cluster environment, which can interact with a job scheduler.  ... 
doi:10.1109/access.2019.2948150 fatcat:ya7t75ainrgnlf7jsgahzu7eta

GridMate: A Portable Simulation Environment for Large-Scale Adaptive Scientific Applications

Xiaolin Li, Manish Parashar
2008 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID)  
GridMate is a discrete-event based simulator, consisting of abstractions of trace-based applications, computing resources, partitioners and schedulers, a 3D visualization tool, and user interfaces.  ...  In this paper, we present a portable simulation environment GridMate for large-scale adaptive scientific applications in multi-site Grid environments.  ...  MicroGrid, developed at UCSD, is based on the Globus Toolkit [12] . It offers a virtual Grid environment for simulating the execution of real applications.  ... 
doi:10.1109/ccgrid.2008.121 dblp:conf/ccgrid/LiP08 fatcat:3ev7gnbfvzbo5arv5op6aoyy6m

A Reinforcement Learning Approach to Dynamic Scheduling in a Product-Mix Flexibility Environment

Yeou-Ren Shiue, Ken-Chuan Lee, Chao-Ton Su
2020 IEEE Access  
In this paper, reinforcement learning (RL)-based dynamic scheduling and a selection mechanism for multiple dynamic scheduling rules (MDSRs) are proposed to support the operating characteristics of a flexible  ...  Thus, the knowledge base (KB) of a dynamic scheduling control system should be dynamic and include a knowledge revision mechanism for monitoring crucial changes that occur in the production system.  ...  CONCLUSION AND FUTURE WORKS In this research, we present a RL-based dynamic scheduling method with the MDSR mechanism for establishing a dynamic scheduling system in a complex product-mix ratio environment  ... 
doi:10.1109/access.2020.3000781 fatcat:nl2ivlyppreqtp7igju5vamg6q

PERFORMANCE IMPROVEMENT IN CLOUD COMPUTING USING RESOURCE CLUSTERING

Malathy
2013 Journal of Computer Science  
The resource clustering approach is modeled using CloudSim, a toolkit for modeling and simulating cloud computing environments and the evaluation improves the performance of the system in the usage of  ...  In this study, resource usage distribution for a group of nodes with identical resource usages patterns are identified and kept as a cluster and is named as resource clustering approach.  ...  For proof utilization of the simulation environment is presented in a largescale distributed system problem that includes a core model and related mechanisms.  ... 
doi:10.3844/jcssp.2013.671.677 fatcat:vziixo2slffmzpaare7wvhi4mi

Meta-scheduling issues in interoperable HPCs, grids and clouds

Nik Bessis, Stelios Sotiriadis, Fatos Xhafa, Florin Pop, Valentin Cristea
2012 International Journal of Web and Grid Services  
Finally, we describe a simulation and experimental configuration based on real grid workload traces to demonstrate the interoperable setting as well as provide experimental results as part of a strategic  ...  plan for integrating future meta-schedulers.  ...  All authors would like also to thank the grid workload archives for the source of the workload archive and the AuverGrid and Grid5000 teams.  ... 
doi:10.1504/ijwgs.2012.048403 fatcat:r76hxcmjprfxdhr5mmne4cdhii

Service and Utility Oriented Distributed Computing Systems: Challenges and Opportunities for Modeling and Simulation Communities

Rajkumar Buyya
2008 Annual Simulation Symposium : Proceedings  
We present various case studies on the use of GridSim in modeling and simulation of Business Grids, parallel applications scheduling, workflow scheduling, and service pricing and revenue management.  ...  This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, dynamic resource conditions..  ...  We thank users of GridSim especially case studies reported in Section 4. We also thank Mustafizur Rahman for proof reading the paper.  ... 
doi:10.1109/anss-41.2008.36 dblp:conf/anss/Buyya08 fatcat:47setzgxojhrvh7j2dz4m2rhqu

Service and Utility Oriented Distributed Computing Systems: Challenges and Opportunities for Modeling and Simulation Communities

Rajkumar Buyya, Anthony Sulistio
2008 Annual Simulation Symposium : Proceedings  
We present various case studies on the use of GridSim in modeling and simulation of Business Grids, parallel applications scheduling, workflow scheduling, and service pricing and revenue management.  ...  This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, dynamic resource conditions..  ...  We thank users of GridSim especially case studies reported in Section 4. We also thank Mustafizur Rahman for proof reading the paper.  ... 
doi:10.1109/anss-41.2008.35 dblp:conf/anss/BuyyaS08 fatcat:in4d7ifnx5d6bcku3cl7q6p3cm

Qualitative Study on the efficiency of Load balancing algorithms in Cloud Environment

Ramya S Gowda
2014 IOSR Journal of Computer Engineering  
The Scheduling algorithm is of greater interest if the technique is dynamic.The dynamic technique is of larger interest because of its dynamic adaptability to the current state of the system.  ...  Resource management is the use of available processors in the most efficient way possible. A CPU scheduling algorithm is said to efficient when it keeps the CPU and disks busy.  ...  Alakeel, in his "A guide to dynamic load balancing in distributed computer systems", presents and analyses many issues that need to be considered in the development or study of a dynamic load balancing  ... 
doi:10.9790/0661-16680912 fatcat:z4kbmnejtrd43fofn2xmqlg5wu

The Polder Computing Environment: a system for interactive distributed simulation

K. A. Iskra, R. G. Belleman, G. D. van Albada, J. Santoso, P. M. A. Sloot, H. E. Bal, H. J. W. Spoelder, M. Bubak
2002 Concurrency and Computation  
This is a switch-based network using wormhole routing. The Myrinet switches are connected in a ring topology for the 24-node clusters and in a 4 by 8 torus for the 128-nodes cluster.  ...  Design considerations for the construction of dynamic exploration environments using such a system are discussed, in particular the use of Intelligent Agents for coordination.  ...  Models for static two-level scheduling Because of the importance of scheduling for the performance of a metacomputing system such as the PCE, we have built a simulator for the scheduling in these environments  ... 
doi:10.1002/cpe.692 fatcat:cjgjn47hg5bl3gwbrioznzizeu

Formulation of Control Strategies for IoT Task Scheduling

2019 International journal of recent technology and engineering  
This paper presents a more sensible model for varying execution times of tasks and deviation in task parameters for building a schedule is allowed.  ...  This paper presents a more sensible model for varying execution times of tasks and deviation in task parameters for building a schedule is allowed.  ...  The local agent constantly monitors the execution times of tasks and updates any deviation in task or arrival of new task and its observations are list in table below.  ... 
doi:10.35940/ijrte.c6560.098319 fatcat:ptons52qrfdclb44jgthyas2bi

A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges

Sukhpal Singh, Inderveer Chana
2016 Journal of Grid Computing  
Researchers still face troubles to select the efficient and appropriate resource scheduling algorithm for a specific workload from the existing literature of resource scheduling algorithms.  ...  In this survey, standard methodical literature analysis technique is used based on a complete collection of 110 research papers out of large collection of 1206 research papers published in 19 foremost  ...  Technology Every RSA using some cloud environment or real testbed to validate their mechanism. For example: CloudSim is a simulated environment for validation.  ... 
doi:10.1007/s10723-015-9359-2 fatcat:cyhh4lnslfb6lhfcdif2pydkba

Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

Miguel Lino, Erico Leão, André Soares, Carlos Montez, Francisco Vasques, Ricardo Moraes
2020 Sensors  
A complete simulation assessment demonstrates the proposed mechanism's efficiency, and the results show that it can guarantee the required quality of service level for the dynamic reconfiguration of cluster-tree  ...  This paper proposes the Dynamic REconfiguration mechanism of cluster-Tree WSNs (DyRET), which is able to dynamically reconfigure large-scale IEEE 802.15.4 cluster-tree WSNs, and to assign communication  ...  The proposal of a dynamic communication mechanism that is able to reconfigure large-scale cluster-tree IWSNs, triggered by the detection of critical events in the monitoring environment.  ... 
doi:10.3390/s20174707 pmid:32825388 pmcid:PMC7506986 fatcat:sgic6knejbc2zexffdsussruuq

MetaMorph: An adaptive agent-based architecture for intelligent manufacturing

F. Maturana, W. Shen, D.H. Norrie
1999 International Journal of Production Research  
This paper proposes an agent-based approach for dynamically creating and managing agent communities in such widely distributed and ever-changing manufacturing environments.  ...  The experimental results have shown the potential of the agent-based approach for advanced manufacturing systems.  ...  The experimental results from the MetaMorph simulation have shown the potential of the agent-based approach for advanced manufacturing systems.  ... 
doi:10.1080/002075499190699 fatcat:lwzprpjbybcyjnknuiqfrs54wq

Fault-Tolerant and Data-Intensive Resource Scheduling and Management for Scientific Applications in Cloud Computing

Zulfiqar Ahmad, Ali Imran Jehangiri, Mohammed Alaa Ala'anzy, Mohamed Othman, Arif Iqbal Umar
2021 Sensors  
Therefore, this research work presents a cluster-based, fault-tolerant and data-intensive (CFD) scheduling for scientific applications in cloud environments.  ...  The CFD strategy addresses the data intensiveness of tasks of scientific workflows with cluster-based, fault-tolerant mechanisms.  ...  Acknowledgments: The authors gratefully acknowledge the Ministry of Higher Education Malaysia for in partial financial support through the Fundamental Research Grant Scheme with reference code FRGS/1/2018  ... 
doi:10.3390/s21217238 pmid:34770545 pmcid:PMC8587021 fatcat:u53ocebfavfgnog7rwdkwdwz4e
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