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Self-Adaptive Heterogeneous Cluster with Wireless Network

Xinyu Niu, Kuen Hung Tsoi, Wayne Luk
2012 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum  
In this work, we build a self-adaptive framework for heterogeneous clusters, coupled with a customised wireless network.  ...  Cluster configurations are scheduled to improve cluster power efficiency, as well as to reduce peak temperature of processing elements.  ...  Scheduling Algorithm To utilise the predicted information, a scheduling algorithm is required to pick the optimal cluster configuration for the next time step.  ... 
doi:10.1109/ipdpsw.2012.37 dblp:conf/ipps/NiuTL12 fatcat:fvzkdr2lsrgvzn5mzsdfhcsth4

A Quadratic Self-Scheduling Algorithm for Heterogeneous Distributed Computing Systems

J. Diaz, S. Reyes, A. Nino, C. Munoz-Caro
2006 2006 IEEE International Conference on Cluster Computing  
Scheduling algorithms play an important role in heterogeneous computing systems. Development of new scheduling strategies is an active research field.  ...  In this context, we present a general formulation of the self-scheduling problem, deriving a new, quadratic, self-scheduling algorithm.  ...  The authors wish also to thank the Facultad de Ciencias Químicas and the Laboratorio de Química Teórica of the Universidad Autónoma de Puebla (Mexico), for the use of the Popo cluster.  ... 
doi:10.1109/clustr.2006.311911 dblp:conf/cluster/DiazRNM06 fatcat:xz57v4rc7za3heqcvhebspfpra

A Dynamic Partitioning Self-scheduling Scheme for Parallel Loops on Heterogeneous Clusters [chapter]

Chao-Tung Yang, Wen-Chung Shih, Shian-Shyong Tseng
2006 Lecture Notes in Computer Science  
Loop partitioning on parallel and distributed systems has been an important problem. Furthermore, it becomes more difficult to deal with on the emerging heterogeneous PC cluster environments.  ...  To verify our approach, a heterogeneous cluster is built, and two kinds of application programs are implemented to be executed in this testbed.  ...  In [3] , an enhanced scheme, which dynamically adjusts scheduling parameters according to system heterogeneity, is proposed.  ... 
doi:10.1007/11758501_111 fatcat:l5a6bknd6vfdbfwdeyxqdg4xwu

A Heterogeneous Built-In Self-Repair Approach Using System-Level Synthesis Flexibility

I. Hong, M. Potkonjak, R. Karri
2004 IEEE Transactions on Reliability  
For the first time, heterogeneous BISR is used at the task level. The key idea is to adapt scheduling and algorithm selection to the available nonfaulty resources.  ...  The methodology employs the heterogeneous built-in-self-repair (BISR) based on graceful degradation and yield enhancement techniques as an embedded optimization engine.  ...  To the best of our knowledge, this is the first heterogeneous system-level synthesis approach which explores task-level scheduling and algorithm selection flexibility for design of fault-tolerant systems  ... 
doi:10.1109/tr.2003.819047 fatcat:gg6jn6qqvfhsth65pkmmijivfy

On development of an efficient parallel loop self-scheduling for grid computing environments

Chao-Tung Yang, Kuan-Wei Cheng, Wen-Chung Shih
2007 Parallel Computing  
Self-scheduling schemes, which are suitable for parallel loops with independent iterations on cluster computer system, they have been designed in the past.  ...  In this paper, we propose a new scheme that can adjust the scheduling parameter dynamically on an extremely heterogeneous PC-based cluster and Grid computing environments in order to improve system performance  ...  Self-scheduling schemes which are suitable for parallel loops with independent iterations on heterogeneous cluster computer system have been designed in the past.  ... 
doi:10.1016/j.parco.2007.01.003 fatcat:iat4rnhpgfcnhjwgbz4g5tjxve

A hybrid Method to augment the efficiency of Distributed Computing System by DAG -Using Finest Task Allocation with Dual Mode Processors

to augment the efficiency of distributed computing system .Through this research paper we want to present new approach of adaptive scheduling algorithm which is the mix output of effective task allocation  ...  By this proposed method we will optimize the execution cost, service rate and maximize the throughput as an outcome of organized processors consist in heterogeneous distributed computing system, resulting  ...  These systems are ready to configure, heal, optimize and shield them while not the necessity for human intervention. inside this context, reconfigurable computing systems [2] are moving to self-adaptive  ... 
doi:10.35940/ijitee.k1974.0981119 fatcat:sowoitq3yzcchbzkjkf4f3sslm

Artificial Intelligence-Based Decision-Making Algorithms, Internet of Things Sensing Networks, and Deep Learning-Assisted Smart Process Management in Cyber-Physical Production Systems

Mihai Andronie, George Lăzăroiu, Mariana Iatagan, Cristian Uță, Roxana Ștefănescu, Mădălina Cocoșatu
2021 Electronics  
and flexibility, configuring the smart factory.  ...  With growing evidence of deep learning-assisted smart process planning, there is an essential demand for comprehending whether cyber-physical production systems (CPPSs) are adequate in managing complexity  ...  self-configuring plants.  ... 
doi:10.3390/electronics10202497 fatcat:rryhw72fhvalloix23qkxwh4ca

Formulation of Control Strategies for IoT Task Scheduling

2019 International journal of recent technology and engineering  
The key objective of this paper is to present the developed scheduling algorithm that is self-configurable and dynamic  ...  The key objective of this paper is to present the developed scheduling algorithm that is self-configurable and dynamicThe various Internets of Things (IoT) application tasks are difficult to schedule due  ...  OBJECTIVES Objective of this paper is to develop a scheduling algorithm that is self-configurable and dynamic.  ... 
doi:10.35940/ijrte.c6560.098319 fatcat:ptons52qrfdclb44jgthyas2bi

A Case Study: Task Scheduling Methodologies for High Speed Computing Systems

Mahendra Vucha, Arvind Rajawat
2014 International Journal of Embedded Systems and Applications  
In this paper, we brought a review of various application scheduling models which provide parallelism for homogeneous and heterogeneous computing systems.  ...  The efficient task scheduling is critical to obtain optimized performance in heterogeneous computing Systems (HCS).  ...  SCHEDULING MODELS FOR HETEROGENEOUS COMPUTING SYSTEMS Heterogeneous computing refers to systems that have more than one kind of processing elements and it gains performance for the application when multifarious  ... 
doi:10.5121/ijesa.2014.4401 fatcat:dtjqbhh7zbdbjoqddi5cd5o6v4

AutoCompBD: Autonomic Computing and Big Data platforms

Florin Pop, Ciprian Dobre, Alexandru Costan
2017 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
Autonomic Computing is facilitated by self-management capabilities that modern LSDS introduce, such as self-configuration, self-healing, self-optimization, and self-protection properties.  ...  Massive parallel processing platforms are the answer and are already being developed over distributed systems (i.e., over cloud or fog computing).  ...  Keywords Scheduling algorithms · Resource management · Fault tolerance · Big Data · Heterogeneous distributed systems care, finance, and ultimately business itself, due to the unprecedented ability to  ... 
doi:10.1007/s00500-017-2739-8 fatcat:lxjheel3rfdexiw3bfbwtuvqdu

A Performance-Based Parallel Loop Self-scheduling on Grid Computing Environments [chapter]

Wen-Chung Shih, Chao-Tung Yang, Shian-Shyong Tseng
2005 Lecture Notes in Computer Science  
Efficient loop scheduling on parallel and distributed systems depends mostly on load balancing, especially on heterogeneous PC-based cluster and grid computing environments.  ...  Experimental results showed that our approach could execute efficiently for most scheduling parameters when estimation of node performance was accurate.  ...  In [4] , a class of self-scheduling schemes is extended to heterogeneous distributed systems.  ... 
doi:10.1007/11577188_7 fatcat:3xvq6cj3wreqlcsypbwo3lhom4

Author index

2006 2006 IEEE International Conference on Cluster Computing  
Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks (Heteropar'06, Cluster 2006 Workshop) Abawajy, Jemal H.  ...  A Performance Instrumentation Framework to Characterize Computation-Communication Overlap in Message-Passing Systems Shi, Zhiao Robust task scheduling in non-deterministic heterogeneous computing  ... 
doi:10.1109/clustr.2006.311921 fatcat:vmbbimypuze7ncjqfonu4po5l4

Dynamic partitioning of loop iterations on heterogeneous PC clusters

Chao-Tung Yang, Wen-Chung Shih, Shian-Shyong Tseng
2007 Journal of Supercomputing  
In the past, some loop self-scheduling schemes have been proposed to be applicable to heterogeneous cluster environments.  ...  Loop partitioning on parallel and distributed systems has been a critical problem. Furthermore, it becomes more difficult to deal with on the emerging heterogeneous PC cluster environments.  ...  Pure Self-Scheduling (PSS) is the first straightforward dynamic loop scheduling algorithm.  ... 
doi:10.1007/s11227-007-0146-0 fatcat:k6xdsl27b5h37ju7f2326cjxyq

Evaluation of dynamic scheduling methods in simulations of storm-time ion acceleration

Ioannis Riakiotakis, Georgios Goumas, Nectarios Koziris, Fiori-Anastasia Metallinou, Ioannis A. Daglis
2008 Proceedings, International Parallel and Distributed Processing Symposium (IPDPS)  
For this reason we apply dynamic scheduling techniques to load-balance the tasks in homogeneous, heterogeneous and loaded distributed-memory parallel platforms and select the most appropriate among the  ...  The computational time to simulate the motion of each particle is dependent on the inital conditions applied and may greatly vary between different particles.  ...  An important class of dynamic scheduling algorithms is the self-scheduling class: Chunk Self-Scheduling (CSS) [12] , Guided Self-Scheduling (GSS) [14] , Trapezoid Self-Scheduling (TSS) [18] , Factoring  ... 
doi:10.1109/ipdps.2008.4536483 dblp:conf/ipps/RiakiotakisGKMD08 fatcat:44m4krgbivdelamitefwuisvta

A GPU Heterogeneous Cluster Scheduling Model for Preventing Temperature Heat Island

Yun-Peng Cao, Hai-Feng Wang, Hui Yang
2017 ITM Web of Conferences  
In order to prevent the occurrence of GPU cluster temperature heat island, a big data task scheduling model for preventing temperature heat island was proposed.  ...  With the development of GPU general-purpose computing, GPU heterogeneous cluster has become a widely used parallel data processing solution in modern data center.  ...  The scheduling algorithm of Agent on computing node is as follows: Algorithm 2 Computing node Agent scheduling algorithm 1. Obtain a sub-task from the sub-task queue of local node 2.  ... 
doi:10.1051/itmconf/20171107003 fatcat:roaa636ikzciti3rg2s4avo3uq
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