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QuantUn: Quantification of uncertainty for the reassessment of requirements

Nelly Bencomo
2015 2015 IEEE 23rd International Requirements Engineering Conference (RE)  
Self-adaptive systems (SASs) should be able to adapt to new environmental contexts dynamically.  ...  The uncertainty that demands this runtime self-adaptive capability makes it hard to formulate, validate and manage their requirements.  ...  As hinted by the initial experiments shown in [22] , preferences and weights to certain QoS properties given by experts during the sensitivity analysis process may not be ideal for some specific cases  ... 
doi:10.1109/re.2015.7320429 dblp:conf/re/Bencomo15 fatcat:uiqrjrqsqjfdhb4unreaxjq7si

Dynamic decision networks for decision-making in self-adaptive systems: A case study

Nelly Bencomo, Amel Belaggoun, Valerie Issarny
2013 2013 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)  
We believe that techniques based on Bayesian Networks (BNs) are useful for systems that dynamically adapt themselves at runtime to a changing environment, which is usually uncertain.  ...  Bayesian decision theory is increasingly applied to support decision-making processes under environmental variability and uncertainty.  ...  Also thanks to Andres Ramirez for the support on the use of the RDM case study.  ... 
doi:10.1109/seams.2013.6595498 dblp:conf/icse/BencomoBI13 fatcat:agecq67tszemrhqyhx5pa6q2wa

Quantitative Verification for Monitoring Event-Streaming Systems

Guoxin Su, Li Liu, Minjie Zhang, David Rosenblum
2020 IEEE Transactions on Software Engineering  
In this paper, we present a novel theoretical framework called QV4M (meaning "quantitative verification for monitoring") for ESS system monitoring based on two recent methods of probabilistic model checking  ...  In this paper, we present a novel theoretical framework called QV4M (meaning "quantitative verification for monitoring") for monitoring ESS systems, which is based on two recent methods of probabilistic  ...  We present a novel performance monitoring framework called QV4M (which stands for "quantitative verification for monitoring") for ESS systems.  ... 
doi:10.1109/tse.2020.2996033 fatcat:mg3t5b6bxnd4xbmfzn76wsxm2u

A Self-adaptive Monitoring Framework for Component-Based Software Systems [chapter]

Jens Ehlers, Wilhelm Hasselbring
2011 Lecture Notes in Computer Science  
Pinpoint: The dynamic analysis approach Pinpoint [Chen et al., 2002] and its follow-up publications [Kiciman and Fox, 2005; Candea et al., 2006] perform runtime monitoring to support QoS problem diagnosis  ...  In comparison to the presented self-adaptive monitoring approach with Kieker, monitoring and self-adaptation in Rainbow target capacity planning instead of QoS problem diagnosis.  ...  Besides, typical SLOs, which require the major proportion of all requests (e.g. per day) to respond below a specified time threshold, are not sufficient to judge on single response time samples being collected  ... 
doi:10.1007/978-3-642-23798-0_30 fatcat:apnintsmcbhv7cjm2crj5ldhsa

A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges

Sukhpal Singh, Inderveer Chana
2016 Journal of Grid Computing  
Resource scheduling in cloud is a challenging job and the scheduling of appropriate resources to cloud workloads depends on the QoS requirements of cloud applications.  ...  a specific workload.  ...  To identify the impact of workload characteristics and different cost factors on cost savings by analyzing the sensitivity of outcomes to estimate the runtime of task accurately. Rodrigo et al.  ... 
doi:10.1007/s10723-015-9359-2 fatcat:cyhh4lnslfb6lhfcdif2pydkba

Towards low-latency service delivery in a continuum of virtual resources: State-of-the-art and Research Directions

Jose Santos, Tim Wauters, Bruno Volckaert, Filip De Turck
2021 IEEE Communications Surveys and Tutorials  
Monitoring or tracking applications allows service providers to fine-tune the application runtime performance while reducing allocation costs.  ...  Their approach increases privacy and data confidentiality to sensitive applications deployed through micro-services (C5).  ... 
doi:10.1109/comst.2021.3095358 fatcat:vqdli2727rgydid2c2iqsnmnx4

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions

Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
2022 ACM Computing Surveys  
In this paper, we present a comprehensive literature review of existing machine learning-based container orchestration approaches.  ...  Containerization is a lightweight application virtualization technology, providing high environmental consistency, operating system distribution portability, and resource isolation.  ...  Through moving computation and storage facilities to the edge of a network, fog and edge infrastructures can achieve higher performance in a delay-sensitive, QoS-aware, and cost-saving manner [47, 48]  ... 
doi:10.1145/3510415 fatcat:ykmi7diulbesfcqqbqlvrn5pcq

StarMX: A framework for developing self-managing Java-based systems

Reza Asadollahi, Mazeiar Salehie, Ladan Tahvildari
2009 2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems  
It proposes a set of aspect languages to define QoS states, mechanisms for monitoring resources, and adaptation behavior.  ...  Moreover, remote access to the MBeans is not as fast as local access, and is therefore not a good approach for time-sensitive adaptations.  ...  It provides the fundamental features to develop such systems and a runtime infrastructure to enable the dynamic adaptation behavior in these systems.  ... 
doi:10.1109/seams.2009.5069074 dblp:conf/icse/AsadollahiST09 fatcat:v53d4rbwdfba7asunxd2fvv4xq

Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions [article]

Muhammad H. Hilman, Maria A. Rodriguez, Rajkumar Buyya
2019 arXiv   pre-print
To cater to the broader needs, multi-tenant platforms for executing workflows were began to be built.  ...  However, the computational requirements are enormous and investing for a dedicated infrastructure for these workflows is not always feasible.  ...  . ese data are stored in a monitoring database and are used by the task runtime estimator to build a model to estimate the task's runtime. e third-party infrastructure (e.g., virtual machines, storage  ... 
arXiv:1809.05574v2 fatcat:qnjb3ubmrbayhol2u3ujccflom

A Taxonomy of Performance Prediction Systems in the Parallel and Distributed Computing Grids [article]

Sena Seneviratne, David C. Levy, Rajkumar Buyya
2013 arXiv   pre-print
The taxonomy and the survey results are used to identify approaches and issues that have not been fully explored in research.  ...  The taxonomy is used to categorize and identify approaches which are followed in the implementation of the existing PPSs for Grids.  ...  The other novel analytical approach is GAMMA that forecasts the level-3 resource, the suitability of a parallel application to a cluster.  ... 
arXiv:1307.2380v2 fatcat:jofbe7yxubfp7fzplvkzy2frgm

A comprehensive survey on machine learning for networking: evolution, applications and research opportunities

Raouf Boutaba, Mohammad A. Salahuddin, Noura Limam, Sara Ayoubi, Nashid Shahriar, Felipe Estrada-Solano, Oscar M. Caicedo
2018 Journal of Internet Services and Applications  
In this way, readers will benefit from a comprehensive discussion on the different learning paradigms and ML techniques applied to fundamental problems in networking, including traffic prediction, routing  ...  and classification, congestion control, resource and fault management, QoS and QoE management, and network security.  ...  QoE measures, such as MOS, and user engagement metrics are very sensitive to contextual factors.  ... 
doi:10.1186/s13174-018-0087-2 fatcat:jvwpewceevev3n4keoswqlcacu

QoS-aware Energy Management and Node Scheduling Schemes for Sensor Network-based Surveillance Applications

Diya Thomas, Rajan Shankaran, Quan Z. Sheng, Mehmet Orgun, Michael Hitchens, Mehedi Masud, Wei Ni, Subhas Mukhopadhyay, MD. Jalil Piran
2020 IEEE Access  
Recent advances in wireless technologies have led to an increased deployment of Wireless Sensor Networks (WSNs) for a plethora of diverse surveillance applications such as health, military, and environmental  ...  This is proving to be a major hindrance to the widespread adoption of WSNs for such applications.  ...  ACKNOWLEDGMENT The authors are thankful to Dr. Varun G.  ... 
doi:10.1109/access.2020.3046619 fatcat:gdo4qhrw4ncrdcze2gzrloikti

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions [article]

Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
2021 arXiv   pre-print
In this paper, we present a comprehensive literature review of existing machine learning-based container orchestration approaches.  ...  Containerization is a lightweight application virtualization technology, providing high environmental consistency, operating system distribution portability, and resource isolation.  ...  Through moving computation and storage facilities to the edge of a network, fog and edge infrastructures can achieve higher performance in a delay-sensitive, QoS-aware, and cost-saving manner [44, 45]  ... 
arXiv:2106.12739v1 fatcat:bewvimekavduba4ku4stq32sny

AI and ML – Enablers for Beyond 5G Networks

Alexandros Kaloxylos, Anastasius Gavras, Daniel Camps Mur, Mir Ghoraishi, Halid Hrasnica
2020 Zenodo  
Reinforcement learning is concerned about how intelligent agents must take actions in order to maximize a collective reward, e.g. to improve a property of the system.  ...  They are typically used to model complex relationships between input and output parameters of a system or to find patterns in data.  ...  factor and φ x are the weights of each component.  ... 
doi:10.5281/zenodo.4299895 fatcat:ngzbopfm6bb43lnrmep6nz5icm

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe, T.R.,  ...  ., +, JIoT Feb. 2020 1072-1080 A Novel Sensor Placement Strategy for an IoT-Based Power Grid Monitoring System.  ...  Kaur, A., +, JIoT Feb. 2020 1111-1121 Drone-Enabled Internet-of-Things Relay for Environmental Monitoring in Remote Areas Without Public Networks.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a
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