| 1. |
- de Lemos, Rogerio, et al.
(författare)
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Software Engineering for Self-Adaptive Systems : A Second Research Roadmap
- 2013
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Ingår i: Software Engineering for Self-Adaptive Systems II. - Berlin, Heidelberg : Springer. - 9783642358128 ; , s. 1-32
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The goal of this roadmap paper is to summarize the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for self-adaptive solutions, software engineering processes for self-adaptive systems, from centralized to decentralized control, and practical run-time verification & validation for self-adaptive systems. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.
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| 2. |
- Li, Yuhong, et al.
(författare)
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Enhancing the internet of things with knowledge-driven software-defined networking technology : Future perspectives
- 2020
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 20:12, s. 1-20
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Tidskriftsartikel (refereegranskat)abstract
- The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.
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| 3. |
- Therodouou, Vaslieios, 1980, et al.
(författare)
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Theta Architecture: Preserving the Quality of Analytics in Data-Driven Systems
- 2017
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Ingår i: Workshop on Novel Techniques for Integrating Big Data (BigNovelTI 2017).
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Konferensbidrag (refereegranskat)abstract
- With the recent advances in Big Data storage and processing, there is a real potential of data-driven software systems, i.e., systems that employ analysis of large amounts of data to inform their runtime decisions. However, for these decisions to be trustworthy and dependable, one needs to deal with the well-known challenges on the data analysis domain: data scarcity, low-quality of data available for analysis, low veracity of data and subsequent analysis results, data privacy constraints that hinder the analysis. A promising solution is to introduce exibility in the data analytics part of the system enabling optimization at runtime of the algorithms and data streams based on the combination of veracity, privacy and scarcity in order to preserve the target level of quality of the data-driven decisions. In this paper, we investigate this solution by providing an adaptive reference architecture and illustrate its applicability with an example from the trac management domain.
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| 4. |
- Weyns, Danny, et al.
(författare)
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On Patterns for Decentralized Control in Self-Adaptive Systems
- 2013
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Ingår i: Software Engineering for Self-Adaptive Systems II. - Berlin, Heidelberg : Springer. - 9783642358128 ; , s. 76-107
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Konferensbidrag (refereegranskat)abstract
- Self-adaptation is typically realized using a control loop. Oneprominent approach for organizing a control loop in self-adaptive systemsis by means of four components that are responsible for the primary functionsof self-adaptation: Monitor, Analyze, Plan, and Execute, togetherforming a MAPE loop. When systems are large, complex, and heterogeneous,a single MAPE loop may not be sufficient for managing alladaptation in a system, so multiple MAPE loops may be introduced. Inself-adaptive systems with multiple MAPE loops, decisions about how todecentralize each of the MAPE functions must be made. These decisionsinvolve how and whether the corresponding functions from multiple loopsare to be coordinated (e.g., planning components coordinating to preparea plan for an adaptation). To foster comprehension of self-adaptive systemswith multiple MAPE loops and support reuse of known solutions,it is crucial that we document common design approaches for engineers.As such systematic knowledge is currently lacking, it is timely to reflecton these systems to: (a) consolidate the knowledge in this area, and (b)to develop a systematic approach for describing different types of controlin self-adaptive systems. We contribute with a simple notation fordescribing interacting MAPE loops, which we believe helps in achieving(b), and we use this notation to describe a number of existing patternsof interacting MAPE loops, to begin to fulfill (a). From our study, weoutline numerous remaining research challenges in this area.
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