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SCCS: Streaming cooperative computing system for edge environment

Jiachen F. E. N. G, Haiquan W. A. N. G, Shimin W. U, Yuhang M. A, Jiawei G. U. O
2019 Journal of Advances in Technology and Engineering Research  
In the paper, we propose and build SCCS, a Streaming data Cooperative Computing System which is suitable for edge environment.  ...  Under those edge scenarios, it takes high latency to process the streaming data by cloud computing. And uploading the raw data to cloud server by networks faces the data privacy issues.  ...  CONCLUSION In this paper, we present SCCS, a streaming cooperative computing system for edge environment. Our system can schedule edge nodes processing streaming data collectively.  ... 
doi:10.20474/jater-5.1.5 fatcat:nqea264w5rgtlnncr2ryhamzii

A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud

Fatima Abdullah, Limei Peng, Byungchul Tak, Xiaojie Wang
2021 Wireless Communications and Mobile Computing  
For many IoT applications, fast stream query processing is crucial for correct operations.  ...  Finally, the paper concludes by proposing promising future directions towards advancing the query executions in the edge and cloud environment.  ...  In this scheme, the stream processing application spans two tiers-edge data centers and cloud. The system defines two types of tasks named as local and global tasks.  ... 
doi:10.1155/2021/4811018 fatcat:kex7f5r2tzconkhhmjqjavusxi

QoS-Aware Placement of Tasks on a Fog Cluster in an Edge Computing Environment

Elarbi Badidi
2020 Journal of Ubiquitous Systems and Pervasive Networks  
These services typically rely on cloud services for processing IoT data streams, given that edge devices have limited computing and storage capabilities.  ...  With increasing deployments of fog nodes and fog clusters, we propose an architecture for the placement of IoT applications tasks on a cluster of fog nodes in the vicinity of the application's data sources  ...  Acknowledgements This work is supported by the UAEU Program for Advanced Research Grant N. G00003443.  ... 
doi:10.5383/juspn.13.01.002 fatcat:qeuep5eiefdplpz6vtlhyvluci

An Architecture for QoS-Aware Fog Service Provisioning

Elarbi Badidi, Awatif Ragmani
2020 Procedia Computer Science  
IoT data streams are typically transmitted to cloud services for processing.  ...  ' tasks on a cluster of fog nodes.  ...  There is a growing number of research works, which proposed scheduling approaches to assign application tasks to edge, fog, or cloud to meet the application QoS requirements [21] [12] [1] .  ... 
doi:10.1016/j.procs.2020.03.083 fatcat:rdbqkzw73vairm4bt3reqrzt7a

When FPGA-Accelerator Meets Stream Data Processing in the Edge

Song Wu, Die Hu, Shadi Ibrahim, Hai Jin, Jiang Xiao, Fei Chen, Haikun Liu
2019 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)  
F-Storm integrates PCIe-based FPGAs into Edge-based stream processing systems and provides accelerators as a service for stream data applications.  ...  In this vision paper, we argue that by introducing FPGAs in Edge servers and integrating them into DSP systems, we might be able to realize stream data processing in Edge infrastructures.  ...  of) stream data applications on both Edge severs and clouds.  ... 
doi:10.1109/icdcs.2019.00180 dblp:conf/icdcs/0001HI0XCL19 fatcat:nzgqzjm3drdvhk6sydr26v5zbm

JITA4DS: Disaggregated Execution of Data Science Pipelines Between the Edge and the Data Centre

Genoveva Vargas-Solar, Md Sahil Hassan, Ali Akoglu
2021 Journal of Web Engineering  
JITA-4DS is a cross-layer management system that is aware of both the application characteristics and the underlying infrastructures to break the barriers between applications, middleware/operating system  ...  However, some tasks can be executed in the edge, and the backend can provide just in time resources to ensure ad-hoc and elastic execution environments.This paper introduces an innovative composable "Just  ...  to make scheduling decisions, while the RR is a simple scheduler that assigns tasks to resources in a round robin manner.  ... 
doi:10.13052/jwe1540-9589.2111 fatcat:b6gb4mbi7zbwviivxfju3tizvi

Seamless Task Offloading On Multi-Clouds And Edge Resources: An Experiment

Andreas Tsagkaropoulos, Giannis Verginadis, Dimitris Apostolou, Gregoris Mentzas
2017 Zenodo  
Contrary to the line of thought commonly adopted, we present in this work an alternative platform that considers edge devices as possible processing nodes, and provide a two-level task scheduling deployment  ...  Commercial and scientific applications have come to rely on it as a development tool due to its exceptional characteristics in processing power and storage.  ...  ACKNOWLEDGMENT This work is partly funded by the European Commission project H2020 PrestoCloud -Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing (732339).  ... 
doi:10.5281/zenodo.1133313 fatcat:e4durli2cvahpjnjhvvwcdk7ci

Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions [article]

Marcos Dias de Assuncao, Alexandre da Silva Veith, Rajkumar Buyya
2017 arXiv   pre-print
Several solutions, including multiple software engines, have been developed for processing unbounded data streams in a scalable and efficient manner.  ...  This paper surveys state of the art on stream processing engines and mechanisms for exploiting resource elasticity features of cloud computing in stream processing.  ...  This work has been carried out in the scope of a joint project between the French National Center for Scientific Research (CNRS) and the University of Melbourne.  ... 
arXiv:1709.01363v2 fatcat:ajven75pjrgqhkpmi2d3pxs5pu

Distributed data stream processing and edge computing: A survey on resource elasticity and future directions

Marcos Dias de Assunção, Alexandre da Silva Veith, Rajkumar Buyya
2018 Journal of Network and Computer Applications  
Several solutions, including multiple software engines, have been developed for processing unbounded data streams in a scalable and efficient manner.  ...  This paper surveys state of the art on stream processing engines and mechanisms for exploiting resource elasticity features of cloud computing in stream processing.  ...  This work has been carried out in the scope of a joint project between the French National Center for Scientific Research (CNRS) and the University of Melbourne.  ... 
doi:10.1016/j.jnca.2017.12.001 fatcat:twmpqzkb3nco3a7nwyhloe5qvu

JITA4DS: Disaggregated execution of Data Science Pipelines between the Edge and the Data Centre [article]

Genoveva Vargas-Solar, Ali Akoglu, Md Sahil Hassan
2021 arXiv   pre-print
However, some tasks can be executed in the edge, and the backend can provide just in time resources to ensure ad-hoc and elastic execution environments.  ...  JITA-4DS is a cross-layer management system that is aware of both the application characteristics and the underlying infrastructures to break the barriers between applications, middleware/operating system  ...  We are currently addressing challenges of VDCs management in simpler environments, on cloud resource management heuristics, big data analysis, and data mining for performance prediction.  ... 
arXiv:2108.02558v1 fatcat:fgujcibgazfkfnedn7gwynm7mq

Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy [article]

Ben Blamey, Ida-Maria Sintorn, Andreas Hellander, Salman Toor
2019 arXiv   pre-print
Many state of the art stream processing applications such as Flink and Spark Streaming, being designed to run exclusively in the cloud, are a poor fit for such hybrid edge/cloud deployment settings, not  ...  For distributed stream processing applications, there are clear advantages to offloading some processing work to the cloud edge.  ...  Scheduling is a key challenge for such systems: broadly, deciding which messages should be processed (and when), through which stream operators in the pipeline, and at which processing nodes in the cloud  ... 
arXiv:1912.09088v1 fatcat:fffuctamvrduxc7czapsrqio4a

Characterizing application scheduling on edge, fog, and cloud computing resources

Prateeksha Varshney, Yogesh Simmhan
2019 Software, Practice & Experience  
In this article, we present a taxonomy of concepts essential for specifying and solving the problem of scheduling applications on edge, for and cloud computing resources.  ...  However, the application programming and scheduling models for edge and fog are still maturing, and can benefit from learnings on cloud resources.  ...  As a result, it presents designers of scheduling algorithms for edge, fog and cloud applications with a clear set of system and application features they should consider for their target infrastructure  ... 
doi:10.1002/spe.2699 fatcat:ywvul6s2j5hgthectdnbh7mnbq

A novel approach for IoT tasks offloading in edge-cloud environments

Jaber Almutairi, Mohammad Aldossary
2021 Journal of Cloud Computing: Advances, Systems and Applications  
Therefore, this paper presents a novel approach for task offloading in an Edge-Cloud system in order to minimize the overall service time for latency-sensitive applications.  ...  This would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud Computing.  ...  In addition, the authors would like to thank the Deanship of Scientific Research, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia, for supporting this work.  ... 
doi:10.1186/s13677-021-00243-9 fatcat:q6ycsbwuwrdchkurhr5jqvnsyu

CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing

Dzmitry Kliazovich, Johnatan E. Pecero, Andrei Tchernykh, Pascal Bouvry, Samee U. Khan, Albert Y. Zomaya
2015 Journal of Grid Computing  
Following this observation, we propose a new communication-aware model of cloud computing applications, called CA-DAG.  ...  We review requirements of different cloud applications and identify the need of considering communication processes explicitly and equally to the computing tasks.  ...  Acknowledgment The authors would like to acknowledge the funding from National Research Fund, Luxembourg in the framework of ECO-CLOUD (C12/IS/3977641) project.  ... 
doi:10.1007/s10723-015-9337-8 fatcat:m57o3wcxk5bddlptxzzixbyaxe

Taxonomy and issues for antifragile-based multimedia cloud computing

Syed Fawad Haider, Laraib Abbas, Amjad Ali, Muddesar Iqbal, Imran Raza, Syed Asad Hussain, Doug Young Suh
2016 Journal of Reliable Intelligent Environments  
MCC is proven to be a most dynamic and efficient platform for managing a large amount of multimedia contents with maximum deployment of computing and processing resources at the service provider instead  ...  Similarly, the second part presents the comprehensive literature review on the task management in MCC.  ...  Resource allocation for media streaming applications Amr et al. [31] proposed a prediction based resource allocation scheme for media streaming applications.  ... 
doi:10.1007/s40860-016-0017-7 fatcat:lhxknk32hff6vkoduzq7meydee
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