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Radio Link Buffer Management and Scheduling for Wireless Video Streaming

Günther Liebl, Hrvoje Jenkac, Thomas Stockhammer, Christian Buchner
2005 Telecommunications Systems  
In this paper we compare strategies for joint radio link buffer management and scheduling for wireless video streaming.  ...  Based on previous work in this area [8], we search for an optimal combination of scheduler and drop strategy for different end-to-end streaming options including timestamp-based streaming and ahead-of-time  ...  Buffer management performance for MLWDF scheduling In this section we will evaluate the performance of our drop strategies for a hybrid scheduler that has been designed to account for some fair trade-off  ... 
doi:10.1007/s11235-005-4328-x fatcat:klzpfpdt5vb7rbmfzlvtqltjjy

CAPE [chapter]

Elke A. Rundensteiner, Luping Ding, Timothy Sutherland, Yali Zhu, Brad Pielech, Nishant Mehta
2004 Proceedings 2004 VLDB Conference  
In the system architecture shown in Figure 2 , the key adaptive components are Operator Configurator, Operator Scheduler, Plan Reorganizer and Distribution Manager.  ...  To maintain the integrity and validity of the data, especially the data in the state of the stateful operators, the Distribution Manager follows a strict set of rules to migrate an operator to another  ... 
doi:10.1016/b978-012088469-8.50145-5 dblp:conf/vldb/RundensteinerDSZPM04 fatcat:cfxoeuzf4nfvxlbehu4xbgtkle

CAPE1Continuous Query Engine with Heterogeneous-Grained Adaptivity [chapter]

E RUNDENSTEINER, L DING, T SUTHERLAND, Y ZHU, B PIELECH, N MEHTA
2004 Proceedings 2004 VLDB Conference  
In the system architecture shown in Figure 2 , the key adaptive components are Operator Configurator, Operator Scheduler, Plan Reorganizer and Distribution Manager.  ...  To maintain the integrity and validity of the data, especially the data in the state of the stateful operators, the Distribution Manager follows a strict set of rules to migrate an operator to another  ... 
doi:10.1016/b978-012088469-8/50145-5 fatcat:xxpfeuynyzdmxn2uvsh7ylpt3q

Data stream management system for MavHome

Qingchun Jiang, Sharma Chakravarthy
2004 Proceedings of the 2004 ACM symposium on Applied computing - SAC '04  
In this paper, we present our approach for building a data stream management system (DSMS) for the above smart home project.  ...  We further summarize our primitive solutions for continuous query processing, Quality of Service(QoS) management, and mapping a trigger mechanism to a stream processing system.  ...  The stream manager maintains catalog information for all streams, creates a thread for each incoming stream, and places the tuples from a stream into their corresponding input queues.  ... 
doi:10.1145/967900.968037 dblp:conf/sac/JiangC04 fatcat:vlbzx6r4cra6tffjo3rwwh542y

Fine-grained device management in an interactive media server

R. Rangaswami, Z. Dimitrijevic, E. Chang, S.-H.G. Chan
2003 IEEE transactions on multimedia  
In this regard, we propose a fine-grained device management strategy consisting of three complementary components: disk profiler, data placement, and IO scheduler.  ...  In this paper, we propose the architecture and design of an interactive media proxy (IMP) server that transforms noninteractive broadcast or multicast streams into interactive ones for servicing a large  ...  Data Management Strategy Evaluation In this section, we perform an evaluation of our three fine-grained data management strategies: zoning placement, cylinder placement, and step-sweep IO scheduling.  ... 
doi:10.1109/tmm.2003.814722 fatcat:3md4vh3lkrfw5hichrf2ejnozq

Active workflow system for near real-time extreme-scale science

Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Choi, Norbert Podhorszki
2014 Proceedings of the first workshop on Parallel programming for analytics applications - PPAA '14  
In recent years, streaming-based data processing has been gaining substantial traction for dealing with overwhelming data generated by real-time applications, from both enterprise sources and scientific  ...  As such, if there is a transient hotspot observed, a Permission to make digital data object with unfinished workflow pipeline can break its previous schedule and search for a least loaded location to continue  ...  Additionally, this work was supported in part by the Department of Energy Office of Advanced Scientific Computing Research and by the National Science Foundation.  ... 
doi:10.1145/2567634.2567637 dblp:conf/ppopp/ZhangLKWSECP14 fatcat:iz52cd25ozcn7opjqjqykudxzi

On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid [article]

Qunzhi Zhou, Yogesh Simmhan, Viktor Prasanna
2013 arXiv   pre-print
Our focus is on demand-side management rather than supply-side constraints. Continuous data from information sources like smart meters and building sensors are abstracted as event streams.  ...  We investigate the use of semantic Complex Event Processing (CEP) patterns to model and detect dynamic situations in a campus microgrid to facilitate adaptive DR.  ...  His research focuses on distributed data and computing systems, workflows for dynamic applications, and scalable data management for eScience and eEngineering.  ... 
arXiv:1311.6146v1 fatcat:smzynoqbuncozcdcypzkhi2uva

Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments [article]

Alexandre Da Silva Veith, Edison Pignaton de Freitas AVALON
2017 arXiv   pre-print
The paper at hand suggest a basic set of strategies to handle the arising challenges regarding the volatility, heterogeneity, and desired low latency execution by reducing the overall system timing (scheduling  ...  Via these services, a distribution of tasks for the best balance of computational resources is achieved, while monitoring and management can be performed asynchronously in the background.  ...  It is a distributed data storage system that manages policies for data splitting and distribution in batch applications such as MapReduce.  ... 
arXiv:1708.04796v1 fatcat:ieeqnouvifg5fgecl2ac7yuooa

Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments

Veith Alexandre da Silva, Anjos Julio C.S. dos, de Freitas Edison Pignaton, Lampoltshammer Thomas J., Geyer Claudio F.
2016 IFAC-PapersOnLine  
The paper at hand suggest a basic set of strategies to handle the arising challenges regarding the volatility, heterogeneity, and desired low latency execution by reducing the overall system timing (scheduling  ...  Via these services, a distribution of tasks for the best balance of computational resources is achieved, while monitoring and management can be performed asynchronously in the background.  ...  It is a distributed data storage system that manages policies for data splitting and distribution in batch applications such as MapReduce.  ... 
doi:10.1016/j.ifacol.2016.11.138 fatcat:zy45z7ztc5f6zbmx4pskr7w5a4

Opportunistic And Playback-Sensitive Scheduling For Video Streaming

Huda Adibah Mohd Ramli, Kumbesan Sandrasegaran
2014 International Journal of Wireless & Mobile Networks  
The proposed solution combines a buffer management strategy with a packet scheduling algorithm.  ...  The buffer management strategy selectively discards packets of a user from base station buffer whereas the packet scheduling algorithm schedules packets of a user according to its instantaneous channel  ...  OPSS is a combination of a buffer management strategy and a packet scheduling algorithm.  ... 
doi:10.5121/ijwmn.2014.6101 fatcat:4ak4xvf2dzh5ngg7jnodgsx6hi

The effects of schedule volatility on supply chain performance

P. Childerhouse, S. M. Disney, D. R. Towill
2009 International Journal of Logistics Research and Applications  
For each value stream the forecast error is evaluated, and confirms the excessive volatility of the orders placed by many customers.  ...  Empirical data collected from fifty-nine value streams is statistically analysed to investigate the negative effects of volatile customer schedules on performance.  ...  In this paper we have proposed a simple model to evaluate which one of these strategies are currently in use in any particular value stream by measuring input and output volatility.  ... 
doi:10.1080/13675560903076206 fatcat:leiws4wko5edhb2lkom6w7axni

Buffer-Preposed QoS Adaptation Framework and Load Shedding Techniques over Streams [chapter]

Rui Zhou, Guoren Wang, Donghong Han, Pizhen Gong, Chuan Xiao, Hongru Li
2006 Lecture Notes in Computer Science  
In this paper, we address a novel buffer-preposed QoS adaptation framework on the basis of control theory and present several load shedding techniques and scheduling strategies in order to guarantee the  ...  Buffer Manager Scheduler Scheduler acts not only as a resource manager, but also a communicator between buffer and query processor. Its utility and functions are described as follows:  ...  The survey in [12] gives an overview of stream work, and has summarized the issues of building a Data stream Management System. Specialized systems have been mentioned in Section 1.  ... 
doi:10.1007/11912873_25 fatcat:dim7ew74tzbxdpc54ivrzhswty

Earliest Deadline Scheduling for Continuous Queries over Data Streams

Xin Li, Zhiping Jia, Li Ma, Ruihua Zhang, Haiyang Wang
2009 2009 International Conference on Embedded Software and Systems  
The experiment results show that the proposed continuous query model and improved scheduling algorithms are effective in real-time query processing for data streams with bursty arrival rates. 2009 International  ...  A fine-grained scheduling strategy named OP-EDF is proposed for real-time scheduling, which schedules the operator path with the earliest deadline of the waiting tuples at any time slot.  ...  These applications have sparked researchers' interest in the area of data stream management system (DSMS) in both the database and real-time computing communities.  ... 
doi:10.1109/icess.2009.14 dblp:conf/icess/LiJMZW09 fatcat:tnipdko3evdddoh7kdxnzx3iuu

DABS-Storm: A Data-Aware Approach for Elastic Stream Processing [chapter]

Roland Kotto Kombi, Nicolas Lumineau, Philippe Lamarre, Nicolo Rivetti, Yann Busnel
2019 Lecture Notes in Computer Science  
Variations of input data streams, in terms of both volume and distribution of values, have a large impact on computational resource requirements.  ...  Both fluctuations in data volume and distribution of values within data streams are handled by DABS-Storm to adjust the resources usage that best meets processing needs.  ...  Furthermore, DABS-Storm can be used in combination with different existing scheduling strategies. Experimental evaluations have shown that DABS-Storm improves the system stability and performances.  ... 
doi:10.1007/978-3-662-58664-8_3 fatcat:dgicilf6qfglfe3sxhzgl3y5bu

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  
However, several issues, such as interconnection speeds, data locality, placement of VMs and partial support for specialized hardware, limit the effectiveness of HPC applications in the Cloud.  ...  As a result of the call for papers, twenty (20) articles were submitted and six (6) contributions were selected, resulting in an acceptance rate of 30%.  ...  The framework scales in and out of data stream graphs quantifying computation and communication and scheduling the graphs based on max-min fairness strategy.  ... 
doi:10.1007/s11227-018-2241-9 fatcat:7oetqz535zctngsekcrugzm4ni
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