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Special issue: applications, results & future direction (EAIS 12): 2

José Antonio Iglesias Martínez, Igor Škrjanc
2014 Evolving Systems  
This paper presents a novel temporal partitioning methodology that temporally partitions a data flow graph on reconfigurable systems.  ...  The last paper of this special issue is ''Integrated temporal partitioning and partial reconfiguration techniques for design latency improvement'' by Ramzi Ayadi, Bouraoui Ouni and Abdellatif Mtibaa.  ... 
doi:10.1007/s12530-014-9111-3 fatcat:5qfgljv5zjahrik5rwiyrtp4tq

Optimization of Partitioned Architectures to Support Soft Real-Time Applications

Domitian Tamas-Selicean, Paul Pop
2014 2014 IEEE 20th Pacific Rim International Symposium on Dependable Computing  
Temporal partitioning ensures that an applications access to shared resources is not affected by applications in other partitions.  ...  In this paper we are not interested in the issue of cost minimization, but in supporting soft real-time applications that share the same PA with critical hard real-time applications.  ...  Temporal partitioning ensures that an applications access to shared resources is not affected by applications in other partitions.  ... 
doi:10.1109/prdc.2014.36 dblp:conf/prdc/Tamas-SeliceanP14 fatcat:vwmcideabvho3kradlzdufgonm

Data Stream Warehousing In Tidalrace

Theodore Johnson, Vladislav Shkapenyuk
2015 Conference on Innovative Data Systems Research  
In this paper we describe the Tidalrace system, our motivations for developing it, and architectural features of Tidalrace that support data stream warehousing.  ...  The partitions in a partition set are joined in one unit of processing. If the join has partition sets (PS1, … PSj), the result of the join is the union of the individual partition set joins.  ...  Partition-wise Optimization As we have discussed, joins in a data stream warehouse are almost always band joins on the table's timestamp.  ... 
dblp:conf/cidr/JohnsonS15 fatcat:gcfb4sf3qjbqxl63veq5wbckjq

Module Allocation for Dynamically Reconfigurable Systems [chapter]

Xue-jie Zhang, Kam-wing Ng
2000 Lecture Notes in Computer Science  
In this paper, we deal with the task of module allocation as this step has a direct in uence on the performance of the dynamically recon gurable design.  ...  Our synthesis methodology addresses the issues of minimizing recon guration overhead by maintaining a global view of the resource requirements at all times during the high-level synthesis process.  ...  Conclusions and Acknowledgments We h a ve presented a new module allocation technique in this paper.  ... 
doi:10.1007/3-540-45591-4_128 fatcat:3nspw37pcfhjxfahlf3zog25km

Response-Time Analysis of Multipath Flows in Hierarchically-Scheduled Time-Partitioned Distributed Real-Time Systems

Andoni Amurrio, Ekain Azketa, J. Javier Gutierrez, Mario Aldea, Michael Gonzalez Harbour
2020 IEEE Access  
In this context we develop a new response-time analysis technique that provides the capacity of obtaining the worst-case response time of multipath flows in time-partitioned hierarchical schedulers and  ...  INDEX TERMS Schedulability analysis, time partitioning, hierarchical scheduling, distributed systems, safety, industrial application.  ...  Hence, partition windows contained in a temporal partition are defined as follows: Win ik = {S ik , L ik }, being k in the range 1..n.  ... 
doi:10.1109/access.2020.3033461 fatcat:3eyw7kg7qrhvhj4uthnvvy6tty


Rubao Lee, Xiaoning Ding, Feng Chen, Qingda Lu, Xiaodong Zhang
2009 Proceedings of the VLDB Endowment  
in multicore systems through an enhanced OS facility of cache partitioning.  ...  scheduler makes decisions to corun queries with an objective of minimizing LLC conflicts; and (3) an enhanced OS kernel facility partitions the shared LLC according to each query's cache capacity need  ...  This implies that, without cache partitioning to remove cache pollution, the DBMS can only attempt to use scheduling power to address the issue, and the effectiveness is very limited.  ... 
doi:10.14778/1687627.1687670 fatcat:haewfaorirefxmwsewj6253mdy

A software platform for fractionated spacecraft

A. Dubey, W. Emfinger, A. Gokhale, G. Karsai, W. R. Otte, J. Parsons, C. Szabo, A. Coglio, E. Smith, P. Bose
2012 2012 IEEE Aerospace Conference  
The solution proposed in this paper is based on a layered architecture consisting of a novel operating system, a middleware layer, and component-structured applications.  ...  challenging to support multiple organizations and users whose diverse software applications have changing demands for computational and communication resources, while operating on different levels and in  ...  The scheduler keeps executing the partition schedule; • Paused, in which only the system partition is scheduled so that platform actors can run (to change the scheduling table) .  ... 
doi:10.1109/aero.2012.6187334 fatcat:t6m24ful35ethjpyhjpssyhpia

Efficient Execution of Multiple Queries on Deep Memory Hierarchy

Yan Zhang, Zhi-Feng Chen, Yuan-Yuan Zhou
2007 Journal of Computer Science and Technology  
scheduling.  ...  Mini-Tasking exploits such data sharing characteristics to improve data temporal locality by scheduling query execution at three levels: query level batching, operator level grouping and mini-task level  ...  As such, these operators from the same query should also be scheduled in a way to maximize the amount of temporal reuse in the processor cache.  ... 
doi:10.1007/s11390-007-9034-6 fatcat:ehnuaedmireb7f2lvrngrpg27a

Network-Aware Workload Scheduling for Scalable Linked Data Stream Processing

Lorenz Fischer, Thomas Scharrenbach, Abraham Bernstein
2013 International Semantic Web Conference  
Acknowledgements We would like to thank Thomas Hunziker, who wrote the first prototype of the KATTS system during his master's thesis in our group.  ...  The Suitability of Graph Partitioning for Scheduling The critical element for optimizing the scheduling using graph partitioning is that the operators can be parallelized with an adequate data partitioning  ...  Once this task has been achieved, which we got due to the pre-partitioned datasets, all computation can be managed on a local machine, as no further joins are necessary.  ... 
dblp:conf/semweb/FischerSB13 fatcat:gbawiki5hfdf7dbbw5hcm7yajq


Shiming Zhang, Yin Yang, Wei Fan, Liang Lan, Mingxuan Yuan
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
We demonstrate OceanRT, a novel cloud-based infrastructure that performs online analytics in real time, over large-scale temporal data such as call logs from a telecommunication company.  ...  In contrast, OceanRT employs a novel computing architecture consisting of interconnected Access-Query Engines (AQEs), as well as a new storage scheme that ensures data locality and fast access for temporal  ...  Specifically, we will show how the data is stored in the cloud, including statistics on blocks, partitions, and temporal information.  ... 
doi:10.1145/2588555.2594513 dblp:conf/sigmod/ZhangYFLY14 fatcat:vxqvonutjvhwhbm7cf4g5e6ify


Ahmed Eldawy
2014 Proceedings of the 2014 SIGMOD PhD symposium on - SIGMOD'14 PhD Symposium  
For efficient processing of spatio-temporal data, Spatiotemporal Hadoop is proposed as an extension to SpatialHadoop.  ...  SpatialHadoop is already used as a main component in three live systems MNTG, TAREEG and SHAHED.  ...  In other words, we first partition the data using the the temporal dimension, then we build a spatial index inside each partition.  ... 
doi:10.1145/2602622.2602625 dblp:conf/sigmod/Eldawy14 fatcat:k3hdlpyryrakpktnrtv5c5wkuu

A Survey on Job Scheduling in Big Data

M. Senthilkumar, P. Ilango
2016 Cybernetics and Information Technologies  
This paper helps the beginners and researchers in understanding the scheduling mechanisms used in Big Data.  ...  Various scheduling algorithms of the MapReduce model using Hadoop vary with design and behavior, and are used for handling many issues like data locality, awareness with resource, energy and time.  ...  Trojan join new technique is introduced for data partitioning for map tasks with join operations.  ... 
doi:10.1515/cait-2016-0033 fatcat:psrtc3l3dzgkfklqjl6hr3qczi

Optimization of Time-Partitions for Mixed-Criticality Real-Time Distributed Embedded Systems

Domitian Tamas-Selicean, Paul Pop
2011 2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops  
The architecture provides both spatial and temporal partitioning, thus enforcing enough separation for the critical applications.  ...  With temporal partitioning, each application is allowed to run only within predefined time slots, allocated on each processor.  ...  enough spatial and temporal partitioning [3] .  ... 
doi:10.1109/isorcw.2011.11 dblp:conf/isorc/Tamas-SeliceanP11 fatcat:po2uosbbifemxcdf3did5lhm34

Trajectory similarity join in spatial networks

Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
2017 Proceedings of the VLDB Endowment  
We consider the case of trajectory similarity join (TS-Join), where the objects are trajectories of vehicles moving in road networks.  ...  The matching of similar pairs of objects, called similarity join, is fundamental functionality in data management.  ...  issued within a temporal-matching window (the first contribution).  ... 
doi:10.14778/3137628.3137630 fatcat:4sfmtabdkzc6xa3w4nnst6tvi4

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

Di Wu, Xiang Nie, Eskindir Asmare, Dmitri Arkhipov, Zhijing Qin, Renfa Li, Julie McCann, Keqin Li
2018 IEEE Transactions on Parallel and Distributed Systems  
The UbiFlow controller differentiates flow scheduling based on per-device requirements and whole-partition capabilities.  ...  Simulation and realistic testbed experiments confirm that UbiFlow can successfully achieve scalable mobility management and robust flow scheduling in IoT multinetworks; e.g. 67.21% throughput improvement  ...  session data so that it can quickly reroute flows to the newly joined IoT devices via the APs in its partition.  ... 
doi:10.1109/tpds.2018.2883438 fatcat:dsycq2ymrvgtve2d2jepvvxe6u
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