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- research-articleJanuary 2021
Task aware optimized energy cost and carbon emission-based virtual machine placement in sustainable data centers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 41, Issue 5Pages 5677–5689https://doi.org/10.3233/JIFS-189887Management of IT services is rapidly adapting to the cloud computing environment due to optimized service delivery models. Geo distributed cloud data centers act as a backbone for providing fundamental infrastructure for cloud services delivery. ...
- research-articleApril 2017
Correlated Friends' Impacts in Social-crowdsensing
SocialSens'17: Proceedings of the 2nd International Workshop on Social SensingPages 9–14https://doi.org/10.1145/3055601.3055605Social sensing is a typical application of the crowdsourcing system. With the consideration of system timeliness, flexibility, and stability, it could not be more natural to build a self-organized, distributed, and cross-platform crowdsourcing system. ...
- articleFebruary 2017
Allocating workload to minimize the power consumption of data centers
Frontiers of Computer Science: Selected Publications from Chinese Universities (FCS), Volume 11, Issue 1Pages 105–118https://doi.org/10.1007/s11704-016-6035-zReducing the power consumption has become one of the most important challenges in designing modern data centers due to the explosive growth of data. The traditional approaches employed to decrease the power consumption normally do not consider the power ...
- research-articleMay 2016
Conserving cooling and computing power by distributing workloads in data centers
CF '16: Proceedings of the ACM International Conference on Computing FrontiersPages 232–239https://doi.org/10.1145/2903150.2903177Reducing the power consumption has become one of the most important challenges in designing modern data centers due to the explosive growth of data. The traditional approaches employed to decrease the power consumption normally do not consider the power ...
- ArticleSeptember 2007
A cost-aware parallel workload allocation approach based on machine learning techniques
NPC'07: Proceedings of the 2007 IFIP international conference on Network and parallel computingPages 506–515Parallelism is one of the main sources for performance improvement in modern computing environment, but the efficient exploitation of the available parallelism depends on a number of parameters. Determining the optimum number of threads for a given data ...
- ArticleMay 2006
A dynamic workload balancing technique of a text matching algorithm on a cluster
TELE-INFO'06: Proceedings of the 5th WSEAS international conference on Telecommunications and informaticsPages 287–292A dynamic workload allocation model which utilizes a data pool manager is investigated herein. It aims at heterogeneous multicomputer environments and the implementation is written in C using the MPICH NT 1.2.5 message passing interface for Microsoft ...
- ArticleJanuary 1996
Classification of Load Distribution Algorithms
PDP '96: Proceedings of the 4th Euromicro Workshop on Parallel and Distributed Processing (PDP '96)Page 404Abstract: The allocation of workload in distributed systems has almost as many views as one would like. The attempt to find suitable structures to classify the different ways of solving this task can therefore reflect the underlying model only. In the ...
- articleNovember 1995
A Psychological Perspective on Service Segmentation Models: The Significance of Accounting for Consumers' Perceptions of Waiting and Service
Management Science (MANS), Volume 41, Issue 11Pages 1806–1815https://doi.org/10.1287/mnsc.41.11.1806We examine how service should be divided and scheduled when it can be provided in multiple separate segments. We analyze variants of this problem using a model with a conventional function describing the waiting cost, that is modified to account for ...
