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A cloud-agnostic queuing system to support the implementation of deadline-based application execution policies
2019
Future generations computer systems
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This paper presents JQueuer, a cloud-agnostic queuing system that supports the scheduling of a large number of jobs in containerised cloud environments. ...
h i g h l i g h t s • JQueuer is a queuing system to be used in conjunction with container technologies. • JQueuer supports the execution of jobs and the enforcement of scaling policies. • JQueuer is integrated ...
Acknowledgement This work was funded by the European Commission through COLA Cloud Orchestration at the level of Applications Project No. 731574.
Conflict of interest None. ...
doi:10.1016/j.future.2019.05.062
fatcat:g4iuhlzpmzf73ottqbrxah4t64
Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance
2018
Dyna
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En este artículo, analizamos la viabilidad de proporcionar ajuste dinámico a un esquema de conmutación basado en MLFQ, de tal manera que éste sea capaz de adaptarse a las variaciones espacio temporales ...
Estas metas están estrechamente asociadas a la priorización de los flujos cortos (con tamaños de unos pocos KB), mayoritarios en estas aplicaciones, sobre los flujos largos (con tamaños de varios MB). ...
Acknowledgments This work was supported by: the Universidad Nacional de Colombia (UNAL) through the "Outstanding Postgraduate Student" scholarship from 2012 to 2016; Colciencias, through the "567 -National ...
doi:10.15446/dyna.v85n206.71626
fatcat:jev6ow5ia5aqhiwaucn7gvked4
Feedback-Control & Queueing Theory-Based Resource Management for Streaming Applications
2017
IEEE Transactions on Parallel and Distributed Systems
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Evaluation is carried out using a federated Cloud-based infrastructure (implemented using CometCloud) -where the allocation of new resources can be based on: (i) differences between sites, i.e. types of ...
In particular, we demonstrate how Little's Law -a widely used result in queuing theory-can be adapted to support dynamic control in the context of such resource provisioning. ...
We implemented our controller on top of the CometCloud system in a real federated cloud scenario and validated it through real executions. ...
doi:10.1109/tpds.2016.2603510
fatcat:ym5twd6bb5bsjjhukv4umkffwu
VGrADS
2009
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis - SC '09
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The results point toward improved resource selection and execution management support for a variety of e-Science applications over grids and cloud systems. ...
The combined effect of these techniques was to enable a new workflow planning method to balance performance, reliability and cost considerations. ...
The authors would like to dedicate this paper to the memory of Ken Kennedy, who led the VGrADS project from its inception to his untimely death. ...
doi:10.1145/1654059.1654107
dblp:conf/sc/RamakrishnanKKWNGOYMHTZ09
fatcat:3bfuv7rfszdvtjwow3bbnz5mmi
BIGSEA: A Big Data analytics platform for public transportation information
2019
Future generations computer systems
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The approach combines cloud orchestration, Quality of Service and automatic parallelisation on a platform that includes a toolbox for implementing privacy guarantees and data quality enhancement as well ...
EUBra-BIGSEA provides a platform for building up data analytic workflows on top of elastic cloud services without requiring skills related to either programming or cloud services. ...
execution framework which extracts the tasks directly from code dependencies, linked to the infrastructure provisioning services. • A scalable OLAP system with policy-based privacy preservation techniques ...
doi:10.1016/j.future.2019.02.011
fatcat:oupvmbjdhrfjhaggcvz72zlytu
Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services
2019
Electronics
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This uncertainty of resource demands by users can lead to catastrophic failures of cloud systems, thus reducing the number of accepted service requests. ...
Cloud computing is a paradigm that ensures the flexible, convenient and on-demand provisioning of a shared pool of configurable network and computing resources. ...
Acknowledgments: The authors thank the anonymous reviewers for their thorough feedback and suggestions, which were crucial to improving the contents and presentation of the article. ...
doi:10.3390/electronics8090928
fatcat:ljapwr3jbzdthisioagstxdf5e
PERFORMANCE IMPROVEMENT IN CLOUD COMPUTING USING RESOURCE CLUSTERING
2013
Journal of Computer Science
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In various applications, execution of services with more number of tasks has to perform with minimum intertask communication. ...
Cloud computing is a computing paradigm in which the various tasks are assigned to a combination of connections, software and services that can be accessed over the network. ...
The architecture supports integration of market-based provisioning policies and virtualization technologies for flexible allocation of resources to applications. ...
doi:10.3844/jcssp.2013.671.677
fatcat:vziixo2slffmzpaare7wvhi4mi
Orchestrated Platform for Cyber-Physical Systems
2018
Complexity
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In this paper, we focus on our ultimate goal, a novel software container-based approach with cloud agnostic orchestration facilities that enable the system operators in the industry to create and manage ...
the behavior of manufacturing systems. ...
The research conducted with the scope of the discrete-event simulation was supported by the European Commission through the H2020 project EPIC (http://www.centre-epic.eu) (Grant no. 739592). ...
doi:10.1155/2018/8281079
fatcat:xyty5z3wjzfcngwuw3smbwbnzi
Dolly
2011
Proceedings of the 7th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments - VEE '11
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We propose Dolly, a database provisioning system based on VM cloning and cost models to adapt the provisioning policy to the cloud infrastructure specifics and application requirements. ...
We present an implementation of Dolly in a commercial-grade replication middleware and evaluate database provisioning strategies for a TPC-W workload on a private cloud and on Amazon EC2. ...
This research was supported in part by NSF grants CNS-0834243, CNS-0720616, CNS-0916972, CNS-0855128, and a gift from NEC. ...
doi:10.1145/1952682.1952691
dblp:conf/vee/CecchetSSS11
fatcat:27zibu2dufbpnm67nrt2oyyxai
Dolly
2011
SIGPLAN notices
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We propose Dolly, a database provisioning system based on VM cloning and cost models to adapt the provisioning policy to the cloud infrastructure specifics and application requirements. ...
We present an implementation of Dolly in a commercial-grade replication middleware and evaluate database provisioning strategies for a TPC-W workload on a private cloud and on Amazon EC2. ...
This research was supported in part by NSF grants CNS-0834243, CNS-0720616, CNS-0916972, CNS-0855128, and a gift from NEC. ...
doi:10.1145/2007477.1952691
fatcat:qnkfswvhyzhpln7weqngk2kfgu
Survey on Traffic Management in Data Center Network: From Link Layer to Application Layer
2021
IEEE Access
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Due to the explosive growth of all kinds of Internet services, data centers have become an irreplaceable and vital infrastructure to support this soaring trend. ...
To help readers comprehend the current research progress of data center networks quickly, we employ a multi-layered top down taxonomy to classify the literature and propose several probable dimensions ...
The transmission mechanisms can be roughly divided into the following five categories.
A. DEADLINE-AGNOSTIC SCHEMES The first category is deadline-agnostic. ...
doi:10.1109/access.2021.3064008
fatcat:jnwnjjv65fgbrf2wxnwdyc2c6u
Cost-Effective Resource Provisioning for MapReduce in a Cloud
2015
IEEE Transactions on Parallel and Distributed Systems
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In contrast to existing MapReduce cloud services such as a generic compute cloud or a dedicated MapReduce cloud, Cura has a number of unique benefits. ...
First, Cura is designed to provide a cost-effective solution to efficiently handle MapReduce production workloads that have a significant amount of interactive jobs. ...
ACKNOWLEDGMENTS The first and third authors are supported by grants from US National Science Foundation (NSF) CISE NetSE program, SaTC program, I/UCRC and a grant from Intel ICST on cloud computing. ...
doi:10.1109/tpds.2014.2320498
fatcat:2ef5fjxtmfbapnn3sb7mdnjsau
The FORA Fog Computing Platform for Industrial IoT
2021
Zenodo
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Information Systems ...
tasks), a worst-case execution time and a deadline. ...
The FN hardware platform has to be deployable in a wide range of industrial scenarios and support the execution of a variety of real-time system classes with different timing requirements [68] . ...
doi:10.5281/zenodo.5856300
fatcat:5vlcbt45ljdppfhvz2iv7qmmh4
Efficient queue management for cluster scheduling
2016
Proceedings of the Eleventh European Conference on Computer Systems - EuroSys '16
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task execution via queue reordering, starvation freedom, and careful placement of tasks to queues. ...
To the best of our knowledge, this is the first work to provide principled solutions to the above problems by introducing queue management techniques, such as appropriate queue sizing, prioritization of ...
Acknowledgments We would like to thank our shepherd, Malte Schwarzkopf, for his detailed feedback that helped improve the paper, as well as the anonymous reviewers for their valuable comments. ...
doi:10.1145/2901318.2901354
dblp:conf/eurosys/RasleyKKFVR16
fatcat:7nn6tnpmnvg6rlzzt5syuu5eae
A Survey on Mobile Edge Computing: The Communication Perspective
2017
IEEE Communications Surveys and Tutorials
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The main feature of MEC is to push mobile computing, network control and storage to the network edges (e.g., base stations and access points) so as to enable computation-intensive and latency-critical ...
Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing ...
On top of the MEC application platform, the MEC applications are deployed and executed within the VMs, which are managed by their related application management systems and agnostic to the MEC server/platform ...
doi:10.1109/comst.2017.2745201
fatcat:rkgkslqx4bg6vp4ynidiuzqtga
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