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Resource Sharing in Distributed Environment using Multi-agent Technology
2017
International Journal of Computer Applications
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Using this system task has been allocated to distributed agents within a dynamic network for sharing resources. ...
People tend to use different applications for similar purposes within the network environment making the high traffic and duplicating resource. ...
So finally Multi-agent systems can successful handle dynamic distributed scheduling and have been used for developing a wide range of dynamic scheduling applications. ...
doi:10.5120/ijca2017914248
fatcat:zp7yljn3n5ebbiuv7r4psqufwe
Using Dedicated and Opportunistic Networks in Synergy for a Cost-Effective Distributed Stream Processing Platform
2008
2008 14th IEEE International Conference on Parallel and Distributed Systems
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This paper presents a case for exploiting the synergy of dedicated and opportunistic network resources in a distributed hosting platform for data stream processing applications. ...
Decentralized algorithms have been developed for allocation of the two classes of network resources among the competing tasks with an objective towards higher task throughput and better utilization of ...
Using data stream processing tasks as a concrete example, this paper demonstrates the benefit of using bi-modal network infrastructures for communication-intensive applications. ...
doi:10.1109/icpads.2008.116
dblp:conf/icpads/AsaduzzamanM08
fatcat:k7peua7wvbdklmftkfxd4o6bwm
QoS and resource management in distributed interactive multimedia environments
2010
Multimedia tools and applications
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We consider QoS and resource management influenced by two most important resources; the computing (CPU) and networking resources. ...
In this paper, we survey existing DIME-relevant QoS and resource management techniques for these two resources, present their taxonomy, compare them, and show their impacts on DIMEs. ...
Under this policy the scheduler will temporarily decrease the priority of CPU intensive applications and will favor tasks with lower CPU utilization. ...
doi:10.1007/s11042-010-0627-7
fatcat:bxffenweb5e7dklijfxjelr6ji
A Distributed Multi-protocol Crawler based on Fuzzy Control for P2P IPTV Applications
2015
International Journal of Control and Automation
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In addition, a task scheduling model based on fuzzy control is introduced to improve performance of the crawler. ...
In the experiment, three task scheduling algorithms are compared, and the results show that the fuzzy algorithm can balance service nodes' load effectively with less task execution time. ...
Acknowledgements This work was sponsored by the National Key Technology R&D Program (Grant No. 2012BAH18B05) and the Scientific Research Foundation for the Youth Scholars of Sichuan University (Grant No ...
doi:10.14257/ijca.2015.8.6.10
fatcat:gqv7tkoxxjb5xisoamyhrdaldu
System-Level Performance Estimation for Application-Specific MPSoC Interconnect Synthesis
2008
2008 Symposium on Application Specific Processors
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We present a framework for development of streaming applications as concurrent software modules running on multi-processors system-on-chips (MPSoC). ...
We implemented a number of streaming applications on candidate architectures that were emulated on an FPGA. ...
Task graphs and Kahn process networks have a dataflow nature, which fits streaming applications very well. ...
doi:10.1109/sasp.2008.4570792
dblp:conf/sasp/HuangHG08
fatcat:gh2mwdfghjgp7je4n6l42tvgge
Multi-tenant mobile offloading systems for real-time computer vision applications
2019
Proceedings of the 20th International Conference on Distributed Computing and Networking - ICDCN '19
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Djinn further studies using NVIDIA Multi-Process Service (MPS) [14] to run multi-process CUDA applications, typically MPI jobs, for higher GPU utilization. ...
In the system aspect, we assume that there is sufficient wireless network bandwidth provisioned for offloading tasks and streaming video feeds. ...
A.2 Creating Jobs for Queries DeepQuery creates a job for each runnable query, which is executed by the JobRunner module (Section 3.6.1). ...
doi:10.1145/3288599.3288634
dblp:conf/icdcn/FangLS019
fatcat:qpib2wkm7jdnfg7k64eh3hwje4
TurboDL: Improving CNN Training on GPU with Fine-grained Multi-streaming Scheduling
2020
IEEE transactions on computers
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It is challenging to orchestrate concurrency for CNN (convolutional neural networks) training on GPUs since it may introduce synchronization overhead and poor resource utilization. ...
deeper, wider, and more complicated networks. ...
Data Dependency Analysis and Fine-Grained Task Partitioning Multi-stream concurrency is an efficient way to utilize the characteristic of GPUs multi-cores. ...
doi:10.1109/tc.2020.2990321
fatcat:vf24gwreavfbtfllq7zjcic2om
A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks
[article]
2019
arXiv
pre-print
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This survey article reviews the challenges associated with deploying and optimizing big data applications and machine learning algorithms in cloud data centers and networks. ...
as virtualization, and software-defined networking that increasingly support big data systems. ...
racks
[229]*
Reconfigurable 3D MEMS based data center
for optimized stream computing systems
System S
Scheduling Optimizer for
Distributed Applications
(SODA)
Multiple jobs for
streaming applications ...
arXiv:1910.00731v1
fatcat:kvi3br4iwzg3bi7fifpgyly7m4
Decentralized Management of Bi-modal Network Resources in a Distributed Stream Processing Platform
[article]
2009
arXiv
pre-print
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The file type is application/pdf.
Overall optimization goal is higher task throughput and better utilization of the expensive dedicated links. ...
Since distributed stream processing applications demand large volume of data transmission between processing sites at a consistent rate, adequate control over the network resources is important to assure ...
Using data stream processing tasks as a concrete example, this paper demonstrates the benefit of using bi-modal network infrastructures for communication-intensive applications. ...
arXiv:0903.4100v1
fatcat:ptqa5fib6bcq7pf5abolfuy53y
A dual-band architecture for multi-gbps communication in 60 GHz multi-hop networks
2010
Proceedings of the 2010 ACM international workshop on mmWave communications: from circuits to networks - mmCom '10
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By realizing these spatial reuse gains through effective scheduling/routing, this dual-band architecture can enable multi-Gbps end-to-end throughput in 60 GHz multi-hop networks. ...
The high pathloss and directionality of mmWave radio create significant opportunities for spatial reuse in these mmWave networks. ...
INTRODUCTION Next generation wireless local area network (WLAN) and personal area networks (WPAN) will require multi-giga bit per second (multi-Gbps) throughput for applications such as high definition ...
doi:10.1145/1859964.1859969
fatcat:vzvzw7jfc5dlhcmoq5knypmx6y
Implementation of Cache Fair Thread Scheduling for multi core processors using wait free data structures in cloud computing applications
2011
2011 World Congress on Information and Communication Technologies
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The primary goal of scheduling framework is to improve application throughput and overall system utilization in cloud applications. ...
In this paper an effective scheduling framework for multi-core processors that strike a balance between control over the system and an effective network traffic control mechanism for high-performance computing ...
So, it is necessary to control the data streams and make a better utilization of free network resources in the cloud. ...
doi:10.1109/wict.2011.6141313
fatcat:awglbzxx3bay3fn5d7atbof3lm
面向实时视频流分析的边缘计算技术
2021
Scientia Sinica Informationis
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-
[77]
AR
Cross DNN feature map sharing;
Approximate model scheduling
• Novel multi-program stream-
ing DNN scenario
• Only one time profiling
[72]
N/A
Multi-capacity DNN model
• Tradeoff ...
content
• Utilize camera spatio-temporal
correlation
• Naive grouping algorithm
[144]
AR
Cross device module scheduling
• Utilize CPU & GPU
• Heuristic based scheduling
[146]
N/A
Adaptive ...
doi:10.1360/ssi-2021-0133
fatcat:qs7jnvnknjhdrhfrru6rfbwuge
Multi-user data sharing in radar sensor networks
2007
Proceedings of the 5th international conference on Embedded networked sensor systems - SenSys '07
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Our utility-driven architecture addresses three key challenges for such rich multi-user sensor networks: how to define utility functions for networks with data sharing among end-users, how to compress ...
mesh network that uses real radar data with real end-user applications. ...
We wish to thank our shepherd, Andrew Campbell, as well as the anonymous reviewers for their helpful comments on this paper. ...
doi:10.1145/1322263.1322303
dblp:conf/sensys/LiYGLSVZ07a
fatcat:se2rw4dfr5fslixtc5woyfdcqa
A Case for Coordinated Resource Management in Heterogeneous Multicore Platforms
[chapter]
2011
Lecture Notes in Computer Science
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It then presents useful coordination schemes for a platform coupling an IXP network processor with x86 cores and running web and multimedia applications. ...
This independence, however, can cause performance degradation for an application that spans diverse cores and resource managers, unless managers coordinate with each other to better service application ...
For instance, an island of cores focused on communication tasks may export a real-time scheduling policy [20] , whereas another may export a scheduling policy optimized for server tasks, etc. ...
doi:10.1007/978-3-642-24322-6_27
fatcat:pxdolvtb2rahvfpqbuysoetuby
The case for practical multi-resource and multi-level scheduling based on Energy/Utility
2013
2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications
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The lowest layers are rooted in hardware and express demand in terms of energy, the highest layers provide performance in terms of user-specific utility, thus leading to an Energy/Utility characterization ...
Energy has become the dominating concern for resource management. We advocate an energy-centered design approach for resource-management systems. ...
ACKNOWLEDGMENTS This work is in part funded by the DFG through the collaborative research center "Highly Adaptive Energy Efficient Systems" (HAEC) and through the cluster of excellence "Center for Advancing ...
doi:10.1109/rtcsa.2013.6732217
dblp:conf/rtcsa/HartigVH13
fatcat:2p4od5r57be23nz2bmuz2jjciq
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