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Optimizing data aggregation for cluster-based internet services

Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
2003 Proceedings of the ninth ACM SIGPLAN symposium on Principles and practice of parallel programming - PPoPP '03  
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability.  ...  This paper presents the design and implementation of a programming primitive -Data Aggregation Call (DAC) -to exploit partition parallelism for clusterbased Internet services.  ...  We would like to thank the anonymous referees for their valuable comments and help.  ... 
doi:10.1145/781498.781517 dblp:conf/ppopp/ChuTYS03 fatcat:ykr5yvvkg5hyhoh6cu4eqewstu

Optimizing data aggregation for cluster-based internet services

Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
2003 Proceedings of the ninth ACM SIGPLAN symposium on Principles and practice of parallel programming - PPoPP '03  
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability.  ...  This paper presents the design and implementation of a programming primitive -Data Aggregation Call (DAC) -to exploit partition parallelism for clusterbased Internet services.  ...  We would like to thank the anonymous referees for their valuable comments and help.  ... 
doi:10.1145/781515.781517 fatcat:eqvin3y5o5hczespysf7mxlt6y

Optimizing data aggregation for cluster-based internet services

Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
2003 SIGPLAN notices  
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability.  ...  This paper presents the design and implementation of a programming primitive -Data Aggregation Call (DAC) -to exploit partition parallelism for clusterbased Internet services.  ...  We would like to thank the anonymous referees for their valuable comments and help.  ... 
doi:10.1145/966049.781517 fatcat:ov4sgvgfsna45grqwhrsdvljsq

Review of Energy Efficient Techniques of IoT

Ritesh Awasthi, Navneet Kaur
2019 International Journal on Recent and Innovation Trends in Computing and Communication  
In the existing system the approach of multilevel clustering is used for the data aggregation to base station.  ...  In the approach of multilevel clustering, the whole network is divided into clusters and cluster heads are selected in each cluster.  ...  Cluster-Based Approach: Clusters are created bydividing the complete network using this approach. A cluster head is chosen individually for each cluster, amongst all the nodes.  ... 
doi:10.17762/ijritcc.v7i5.5304 fatcat:c45nv2mhcvashlyyfh7m6m7vum

Large-Scale QoS-Aware Service-Oriented Networking with a Clustering-Based Approach

Jingwen Jin, Jin Liang, Jingyi Jin, Klara Nahrstedt
2007 2007 16th International Conference on Computer Communications and Networks  
; (2) use data clustering and Bloom filter techniques to jointly reduce complexity of data representation associated with services within a cluster; and (3) investigate a top-down approach for computing  ...  In our framework, we (1) cluster network nodes based on their Internet distances and maintain clustering optimality at low cost by means of local reclustering operations when dealing with dynamic membership  ...  Clustering-based state aggregation and distribution: Since representing the full QoS and service states of a cluster can be expensive, we use two techniques, data clustering and Bloom filter, to effectively  ... 
doi:10.1109/icccn.2007.4317872 dblp:conf/icccn/JinLJN07 fatcat:5dydfauyabb3xgqy2gbpvyj5oi

Special Issue on AI-Driven Smart Networking and Communication for Personal Internet of Things: Part II

Yong Jin, Honghao Gao, Tao Hu, Xinrong Li
2020 International Journal of Wireless Information Networks  
With the rapid development of personal computing technology and intelligent devices, the Internet of Things (IoT) industry has reached a new level for consumers.  ...  Nowadays, artificial intelligence (AI) facilitates ubiquitous smart networking and communication, application analysis and prediction, and thus to make an optimal decision.  ...  The paper "A Hadoop Processing Method for Massive Sensor Network Data Based on Internet of Things" by Yanxin Zhang, proposed a mass sensing information processing scheme based on IoT service platform based  ... 
doi:10.1007/s10776-020-00486-4 fatcat:m2f5nta5rjdyzh3qt7tkx7ncea

PERFORMANCE IMPROVEMENT IN CLOUD COMPUTING USING RESOURCE CLUSTERING

Malathy
2013 Journal of Computer Science  
Results show that resource clusters are able to provide high accuracy for resource discovery.  ...  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.  ...  The proposed resource clustering approach employs two complementary techniques; resource usage histograms to provide statistical assurance for resource capacities and clustering-based resource aggregation  ... 
doi:10.3844/jcssp.2013.671.677 fatcat:vziixo2slffmzpaare7wvhi4mi

Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies [article]

Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas Somaiya
2010 arXiv   pre-print
This is the first study to obtain such detailed results for mobile Internet usage.  ...  We propose a design paradigm for mobile networks driven by realistic models of users' on-line behavior, based on mining of billions of wireless-LAN records.  ...  Data Processing Data processing includes three steps of data manipulation, data integration and data aggregation to cross correlate the collected data before data analysis.  ... 
arXiv:1005.5180v1 fatcat:tml2hy47jbf2focchjzng3quby

Dual Attention-Based Federated Learning for Wireless Traffic Prediction [article]

Chuanting Zhang, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini
2021 arXiv   pre-print
To construct the global model, a dual attention scheme is further proposed by aggregating the intra- and inter-cluster models, instead of simply averaging the weights of local models.  ...  To simultaneously capture the various wireless traffic patterns and keep raw data locally, FedDA first groups the clients into different clusters by using a small augmentation dataset.  ...  For intra-cluster model aggregation in cluster c, w t+1 I,m belongs to a local model of that cluster, and w t+1 O stands for w t+1 R,c .  ... 
arXiv:2110.05183v1 fatcat:edy4iozox5gmlo7f2qocjfdhg4

Hierarchical routing management for improving multimedia transmissions and QoE

Thomas Volkert, Andreas Mitschele-Thiel
2012 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)  
Its main goal is the improvement of packet routing in order to optimize networks for future multimedia streaming.  ...  Application data streams are directed by the HRM system along paths, which provide only those network resources which are actually needed.  ...  Currently, the Internet responds to the demands for multimedia streaming by providing a best effort-based transmission service.  ... 
doi:10.1109/wowmom.2012.6263732 dblp:conf/wowmom/VolkertM12 fatcat:43crcazyerarzgjn3miovuzt6u

Data-driven co-clustering model of internet usage in large mobile societies

Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas Somaiya
2010 Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems - MSWIM '10  
This is the first study to obtain such detailed results for mobile Internet usage.  ...  We introduce a systematic method for large-scale multidimensional co-clustering of web activity for thousands of mobile users at 79 locations.  ...  The work on the TVC model [15] provides a data-driven mobility model for protocol and service performance analysis.  ... 
doi:10.1145/1868521.1868562 dblp:conf/mswim/MoghaddamHRS10 fatcat:mdlx5unswnhdtafrprc2zbpaqm

A survey of Trust Management in WSNs, Internet of Things and Future Internet

Kai-Di Chang
2012 KSII Transactions on Internet and Information Systems  
., cluster, aggregation, reputation). Finally, future research directions with respect to trust management in WSNs and future IoT world are provided.  ...  However, there is lack a survey on trust management for WSNs, IoT even future Internet.  ...  In reverse opration, the base station queries cluster head, and then update data aggregation and reputation [32] .  ... 
doi:10.3837/tiis.2012.01.001 fatcat:4dscpiwzgfejppq77c5agx5v3u

An Efficient Information Aggregation Scheme in Internet of Things: Multi Agent based Approach

Sharanappa P. H., Electronics and Communication Engineering Department, Basaveshwar Engineering College (Autonomous), Bagalkot, India., Mahabaleshwar S. Kakkasageri, Electronics and Communication Engineering Department, Basaveshwar Engineering College (Autonomous), Bagalkot, India.
2021 International journal of soft computing and engineering  
Furthermore, the effective data aggregation technique might help to reduce network traffic. In this paper we have proposed cluster based data aggregation using intelligent agents.  ...  Data aggregation is one of the most important approaches for eliminating data redundancy and improving energy efficiency, as well as extending the life time of wireless sensor networks.  ...  As a result, a cluster-based data aggregation mechanism could be a solution for aggregating data in large-scale IoT-based architectures that deal with big data.  ... 
doi:10.35940/ijsce.a3525.0911121 fatcat:hncvyv2zlfgm3mqjv3rrcegzty

Dynamic Optimization of Government Data Transmission Based on Blockchain Technology

Sheng Peng, Linkai Zhu, Zhiming Cai, Wenjian Liu, Chunjiang He, Weikang Tang, Fazlullah Khan
2021 Mobile Information Systems  
On this basis, taking the Industrial Internet of Things as the research object, a blockchain-based data transmission optimization method was established.  ...  Efficient data transmission is a reliable guarantee for the development and application of the Internet of Things.  ...  In the huge and diverse network environment of the Internet of ings, the reliability of data aggregation has become the basis of the information services of the Internet of ings. e optimization of data  ... 
doi:10.1155/2021/8948323 fatcat:rppiosihkndprj6l25l3dkhucm

Large-Scale Service Overlay Networking with Distance-Based Clustering [chapter]

Jingwen Jin, Klara Nahrstedt
2003 Lecture Notes in Computer Science  
In the first part, we organize the overlay network nodes into clusters based on their Internet distances.  ...  We then construct a hierarchically fully connected (HFC) topology based on the clustering result.  ...  Acknowledgments This material is based upon work supported by DARPA (under Award No. The authors would also like to thank the anonymous reviewers for their helpful comments.  ... 
doi:10.1007/3-540-44892-6_20 fatcat:75osi4lzozgkhkavrehsx4mnxm
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