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A novel workload migration scheme for heterogeneous distributed computing

Y. Li, Z. Lan
2005 CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.  
This paper introduces a novel distributed data migration scheme for large-scale adaptive applications.  ...  The major contributions of the paper include: (1) a novel hierarchical data migration scheme is proposed by considering the heterogeneous and dynamic features of distributed computing environments; and  ...  Acknowledgement This work is supported by a grant from the National Computational Science Alliance with the NSF PACI program. It is also supported by a grant from NSF NGS 0406328.  ... 
doi:10.1109/ccgrid.2005.1558677 dblp:conf/ccgrid/LiL05 fatcat:twtnclcanjcsligeu6aofylcdy

Graph partitioning for parallel applications in heterogeneous Grid environments

S. Kumar, S. K. Das, R. Biswas
2002 Proceedings 16th International Parallel and Distributed Processing Symposium  
We present in this paper a novel multilevel partitioning scheme for irregular graphs and meshes, that takes into account issues pertinent to Grid computing environments.  ...  Simulation results demonstrate that MiniMax generates high quality partitions for various classes of applications targeted for parallel execution in a distributed heterogeneous environment.  ...  CONCLUSION In this paper, we have presented a novel graph partitioner, called MiniMax, for partitioning heterogeneous workload graphs onto heterogeneous system graphs.  ... 
doi:10.1109/ipdps.2002.1015564 dblp:conf/ipps/KumarDB02 fatcat:qw67iuy3hrb5tpces7oxtqjshy

Job Superscheduler Architecture and Performance in Computational Grid Environments

Hongzhang Shan, Leonid Oliker, Rupak Biswas
2003 Proceedings of the 2003 ACM/IEEE conference on Supercomputing - SC '03  
In this paper, we propose a novel grid superscheduler architecture and three distributed job migration algorithms.  ...  Extensive performance comparisons with ideal, central, and local schemes using real workloads from leading computational centers are conducted in a simulation environment.  ...  Acknowledgements The authors would like to gratefully thank LBNL, LLNL, and SDSC for providing the batch job trace files.  ... 
doi:10.1145/1048935.1050194 dblp:conf/sc/ShanOB03 fatcat:n7nodwsxdvfgtixrozk2vbcq7i

Special section: towards high performance computing in the cloud

George A. Gravvanis, John P. Morrison, Dan C. Marinescu, Christos K. Filelis-Papadopoulos
2018 Journal of Supercomputing  
Nevertheless, in spite of ongoing challenges, recent years have seen HPC workloads migrating to the Cloud. This migration is driven by the desires to leverage novel B George A. Gravvanis  ...  It gives us great pleasure to edit this special section on "Towards High Performance Computing in the Cloud," which contains papers from a number of high-profile authors in the field.  ...  The proposed scheme is parallelized using a uniform body distribution, requiring communications only during the computation of the potential and density distribution, and is based on approximate inverses  ... 
doi:10.1007/s11227-018-2241-9 fatcat:7oetqz535zctngsekcrugzm4ni

Towards Dynamic Voltage/Frequency Scaling for Power Reduction in Data Centers

Cong Feng Jiang, Ying Hui Zhao, Jian Wan
2010 Applied Mechanics and Materials  
This paper also presents a simple comparison of four power management schemes in virtualization environments.  ...  In this paper, we give a short survey and discussion on some issues and aspects of DVS/DFS in data centers.  ...  Huang [13] proposed a novel approach to reduce power consumption while better maintaining high performance requirements via a novel behavioral quantification of workload.  ... 
doi:10.4028/ fatcat:fyw57sfzbbcqxkdxfjz4lqsm2y

Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing

Thang Le Duc, Rafael García Leiva, Paolo Casari, Per-Olov Östberg
2019 ACM Computing Surveys  
problem and a classification of sub-problems regarding resource provisioning and application remediation; (3) a comprehensive review of cutting-edge classic and machine learning-based schemes for workload  ...  , migration.  ...  /components placement, migration, and remediation in a continuum of distributed computing contexts.  ... 
doi:10.1145/3341145 fatcat:vkzofhgipfhqtm2z2w5swivksy

Context aware VM placement optimization technique for heterogeneous IaaS cloud

Ashwin Kumar Kulkarni, Annappa B
2019 IEEE Access  
The experiments conducted with real cloud workloads and also synthetic workloads against a well-known adaptive heuristic-based technique indicate significant performance improvements and energy saving  ...  Ever increasing demand for cloud adoption is prompting researchers and engineers around the world to make cloud computing more efficient and beneficial for cloud service providers and users.  ...  The paper proposes a novel technique for workload allocation for energy efficiency by considering the VM workload characteristics and host internal interference levels to select the suitable physical host  ... 
doi:10.1109/access.2019.2926291 fatcat:5hmwsa7snbaidbobreirjsdfmu

Energy Efficient Live Virtual Machine Provisioning at Cloud Data Centers - A Comparative Study

Shalini Soni, Vimal Tiwari
2015 International Journal of Computer Applications  
Cloud computing offers utility-oriented IT services like: pervasive applications from consumer, scientific, and business domains based on a pay-as-you-go model.  ...  A performance evaluation study and comparison is done using the CloudSim toolkit.  ...  The Random Choice (RC) policy selects a VM to be migrated according to a uniformly distributed discrete random variable.  ... 
doi:10.5120/ijca2015906173 fatcat:e3lgm6er4reslazoruv5x434kq

Statistical Framework For Load Balancing In Grid Computing For Efficient Job Migration

Ashish Chandra Srivastava
2012 IOSR Journal of Computer Engineering  
The algorithm is enhanced for large-scale systems to take into account the job migration value, resource heterogeneity, and network heterogeneity when load balancing is considered.  ...  Abstrac: The proposed system has addressed issues that are imperative to Grid computing environments by introducing job migration algorithms.  ...  Review two static job allocation schemes for conventional distributed systems and extend them to dynamic job allocation schemes for computational grids. Jeremy K.  ... 
doi:10.9790/0661-0261319 fatcat:okvg3hq7kba5fmk6mxc5aca4ta

Special issue on soft computing techniques in cluster and grid computing systems

Bernabé Dorronsoro, Sergio Nesmachnow
2014 Cluster Computing  
The authors introduce a workload balancing model for distributing CPU/GPU workloads, and two strategies to overlap computations and communications.  ...  The paper "Enhancing Distributed EAs by a Proactive Strategy" by Salto et al. presents an improvement for distributed evolutionary algorithms thanks to a new strategy for adaptive migration and mutation  ... 
doi:10.1007/s10586-013-0336-x fatcat:zubh5awpxnct7fy25vri5iocle

Costs and Benefits of Load Sharing in the Computational Grid [chapter]

Darin England, Jon B. Weissman
2005 Lecture Notes in Computer Science  
We also present and evaluate an effective scheduling heuristic for migrating a job within the grid.  ...  the grid is homogeneous, and that load sharing can adversely affect job slowdown for lightly-loaded machines in a heterogeneous grid.  ...  Hollingsworth and Maneewongvatana [7] propose a novel approach to scheduling parallel jobs in a computational grid.  ... 
doi:10.1007/11407522_9 fatcat:uizyialo7zdktfvo3hmheddun4

Effective Load-Balancing via Migration and Replication in Spatial Grids [chapter]

Anirban Mondal, Kazuo Goda, Masaru Kitsuregawa
2003 Lecture Notes in Computer Science  
The emergence of grid computing coupled with large and powerful computer networks, which have the capability to connect thousands of geographically distributed computers worldwide, has opened a world of  ...  First, we view a spatial grid as comprising several clusters where each cluster is a local area network (LAN) and propose a novel inter-cluster load-balancing algorithm which uses migration/replication  ...  Grid computing relates to the massive integration and virtualization of geographically distributed computing resources, thereby enabling a grid user to see a unified image of a single powerful virtual  ... 
doi:10.1007/978-3-540-45227-0_21 fatcat:563r3bq2hrhafkeuszub363b4a

Efficient Processing of Image Processing Applications on CPU/GPU

Najia Naz, Abdul Haseeb Malik, Abu Bakar Khurshid, Furqan Aziz, Bader Alouffi, M. Irfan Uddin, Ahmed AlGhamdi, Jia-Bao Liu
2020 Mathematical Problems in Engineering  
The results have demonstrated that the proposed workload distribution policy efficiently distributes the images in a heterogeneous system for image processing applications and achieves 50% improvements  ...  It is common that we use heterogeneous systems for such type of applications, as processing a huge number of images on a single PC may take months of computation.  ...  computing capabilities of processors. e proposed workload distribution scheme for heterogeneous Hadoop cluster is shown in Figure 8 .  ... 
doi:10.1155/2020/4839876 fatcat:fn4kkca7sfgyzdcregmk7dpuva

Magnet: A novel scheduling policy for power reduction in cluster with virtual machines

Liting Hu, Hai Jin, Xiaofei Liao, Xianjie Xiong, Haikun Liu
2008 2008 IEEE International Conference on Cluster Computing  
This paper describes the design and implementation of a novel approach that uses live migration of virtual machines to transfer load among the nodes on a multilayer ring-based overlay.  ...  This scheme can reduce the power consumption greatly by regarding all the cluster nodes as a whole. Plus, it can be applied to both the homogeneous and heterogeneous servers.  ...  INTRODUCTION Green computing has been a hot topic in cluster computing for many years.  ... 
doi:10.1109/clustr.2008.4663751 dblp:conf/cluster/HuJLXL08 fatcat:lz2h6onwjza4zmve6wc7ghrfyu

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  
This paper devotes itself in the field of thermal aware workload and VM placement for Cloud data centers.  ...  To support this work a novel VM scheduling mechanism design and implementation will be proposed.  ...  of distributed computing, parallel computing and grid computing [1] .  ... 
doi:10.17577/ijertv8is060464 fatcat:sgbqluig3zhprov5yfon4tnley
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