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Xplore Articles related to Self-aware

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"When you Believe in Things that you don't Understand": the Effect of Cross-Generational Habits on Self-Improving System Integration

2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2019

Humans experiencing unexpected feedback to certain actions which they are not able to explain, might develop superstitious behaviour. In this paper, we discuss that similar behaviour might also occur in engineered systems. We provide a thought-experiment regarding such behaviour in computational systems. In this paper, we propose a first step towards improved runtime systems integration based on a the ability ...


Cognitive Packet Network for Self-Aware Adaptive Clouds

2019 IEEE International Conference on Fog Computing (ICFC), 2019

This paper reviews the RNN-based approach we have proposed to design an algorithm for real-time task allocation across Cloud servers in response to user required QoS when there is a great diversity in the types of jobs, the class of QoS goals and the resources which are required by workloads and which are possessed by servers. This paper also presents ...


A Self-Aware Contract for Decentralized Peer-to-Peer (P2P) Commerce

2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

Distributed Ledgers, such as blockchains implement business collaboration processes in the form of smart contracts (SCs). Blockchain technology and smart contracts have received significant attention as they exhibit autonomy, decentralization, trust, and transparency over peer-to-peer networks while moving the assets digitally among peers without a third-party such as lawyers in conventional contracts (CCs). Smart contracts are computerized scripts or protocols ...


Keynote Abstracts Keynote Talk #1 Preparing the University for Rapid Digital Evolution

2018 5th NAFOSTED Conference on Information and Computer Science (NICS), 2018

New disruptions - technological, business and social - are being facilitated by the evolution of digital technologies. There are, of course, many valuable pilot efforts across the world that integrate a deep understanding of new research on digital technologies with student learning. Yet the classical classroom that does not fully include digital learning dominates globally. There are many curricula that ...


Using Game Theory to Manage Self-Aware Unmanned Aerial Systems

2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

Runtime platforms on unmanned aerial systems (UAS) manage flight, GPS and compute resources and speed up common tasks for UAS workloads. These workloads evolve rapidly due to programmer demand and changing external conditions. Platforms are quickly out dated. Existing self-aware techniques update resource management policies and/or software, but managing the cost of updates under a budget is challenging. This paper ...


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  • "When you Believe in Things that you don't Understand": the Effect of Cross-Generational Habits on Self-Improving System Integration

    Humans experiencing unexpected feedback to certain actions which they are not able to explain, might develop superstitious behaviour. In this paper, we discuss that similar behaviour might also occur in engineered systems. We provide a thought-experiment regarding such behaviour in computational systems. In this paper, we propose a first step towards improved runtime systems integration based on a the ability to become aware of previously- unknown others and their actions, as described in networked self-awareness.

  • Cognitive Packet Network for Self-Aware Adaptive Clouds

    This paper reviews the RNN-based approach we have proposed to design an algorithm for real-time task allocation across Cloud servers in response to user required QoS when there is a great diversity in the types of jobs, the class of QoS goals and the resources which are required by workloads and which are possessed by servers. This paper also presents our ongoing work, inspired by the idea of Cognitive Packet Network , which distributes the intelligence at each server so that on arrival of a job, the server is able to decide whether to execute the job locally or dispatch it to another server to which it is connected in order to receive better performance.

  • A Self-Aware Contract for Decentralized Peer-to-Peer (P2P) Commerce

    Distributed Ledgers, such as blockchains implement business collaboration processes in the form of smart contracts (SCs). Blockchain technology and smart contracts have received significant attention as they exhibit autonomy, decentralization, trust, and transparency over peer-to-peer networks while moving the assets digitally among peers without a third-party such as lawyers in conventional contracts (CCs). Smart contracts are computerized scripts or protocols that execute contractual clauses when certain pre-defined conditions meet and thereby digitally enforce the negotiation and performance of a contract. Smart contracts, although, being self-executable and self- enforceable, are irreversible once written and lack contractual flexibility in the face of a contingency. A high degree of automation is sought to manifest blockchain enabled smart contracts into the so-called self-aware contracts (SAC) that can be aware of its internal contextual environment and the external environment or real-world events. This Ph.D. work aims to develop the belief-desire-intention (BDI) model based multi-agent system on the top of the blockchain technology-enabled smart contracts to yield the so-called self- aware contracts. This research follows the guidelines of Design Science Research (DSR) methodology.

  • Keynote Abstracts Keynote Talk #1 Preparing the University for Rapid Digital Evolution

    New disruptions - technological, business and social - are being facilitated by the evolution of digital technologies. There are, of course, many valuable pilot efforts across the world that integrate a deep understanding of new research on digital technologies with student learning. Yet the classical classroom that does not fully include digital learning dominates globally. There are many curricula that allow postsecondary students to learn about digital opportunities, but these are not ubiquitous and neither are they based on current advances. As educators, we want students to learn and become more self-aware about how their academic disciplines intersect with the enlarging digital world and new research. How do we do so? First, we must convey that digital transformation and innovation are not synonymous. While digital transformations are typically realized over longer periods, digital innovations on the other hand are generated by the more immediate ignition of creativity and relatively shorter term design thinking. Digital creativity is enabled both within the classroom and outside it, in the latter case sometimes even without a formal curriculum. It thus follows that, in addition to discipline-specific fundamentals, students and researchers should learn to embrace digital evolution regardless of their area of academic discipline to enable longer term digital transformation. In this presentation, we will discuss some examples of how the awareness and understanding of digital evolution has been integrated into student learning and research in various engineering disciplines. This includes, for instance, teaching and learning related to new research in autonomous systems, data analytics, IoT implementations, e.g., for advanced manufacturing, and the evolution of graphical user interfaces and apps. Finally, we present some strategies to encourage the more ubiquitous implementation of these integrations.

  • Using Game Theory to Manage Self-Aware Unmanned Aerial Systems

    Runtime platforms on unmanned aerial systems (UAS) manage flight, GPS and compute resources and speed up common tasks for UAS workloads. These workloads evolve rapidly due to programmer demand and changing external conditions. Platforms are quickly out dated. Existing self-aware techniques update resource management policies and/or software, but managing the cost of updates under a budget is challenging. This paper makes the case for using game theory. Our approach profiles currently hosted workloads and measures efficiency gains from updates. Counter-factual regret, a game theory technique, computes when platforms should update. We outline a frame-work, provide an example and discuss research challenges.

  • Levels of Networked Self-Awareness

    Attempting to achieve self-awareness in computerised systems promises improvements in autonomous behaviour. Since SISSY systems have to integrate with other systems at runtime, self-awareness alone may not be enough. Humans become better at cooperative work once they become aware of the self-awareness of others. When we have integrating systems, they have to also be aware of the ongoing interactions between other sub-systems and how their own interactions will influence the behaviour of the entire system. We propose levels of networked self-awareness to model these networked interactions.

  • Resource Constrained Self-Aware Cyber-Physical Systems (Tutorial)

    The overlap of the two established fields of cyber-physical systems and self- aware computing systems constitutes a challenging class of systems that require autonomy and must satisfy multiple, possibly conflicting constraints (e.g., performance, timeliness, energy, reliability). Self-aware cyber- physical systems are situated in dynamic physical environments and constrained in their resources, they understand their own state and that of their environment. Based on that understanding, they are able to make appropriate decisions autonomously at runtime with high efficiency. In this tutorial, we will review the state of the art of this exciting domain.

  • Hierarchical Self-Awareness and Authority for Scalable Self-Integrating Systems

    System self-integration from open sets of components provides the basis for open adaptability to unpredictable environments. Hierarchical architectures are essential for enabling such systems to scale, as they allow to compromise between processing detailed knowledge in parallel and coordinating parallel processes from a more abstract viewpoint; recursively. This position paper aims to bring to the fore the following key design aspect of such hierarchical systems: how should the authority of decision and action be assigned across hierarchical levels, with respect to the self-awareness capabilities of these levels, The difficulty lays in that all levels lack knowledge, which may be key to certain decisions, because lower levels have detailed knowledge but within a narrow scope (good for local customisation), and higher levels have a broader scope but no details (good for global coordination). We highlight the most obvious authority schemes available and discuss their advantages and shortcomings: top-down, bottom-up, and iterative (yoyo). We discuss three detailed application examples from our previous work on hierarchical systems, pointing-out the knowledge and authority schemes employed and the possible alternatives. This provides a basis for offering system designers the necessary understanding and tools for taking the appropriate decisions with respect to the distribution of self-awareness capabilities and authority of decision and action across hierarchical system levels.

  • Ideas on Improving Software Artifact Reuse via Traceability and Self-Awareness

    We describe our vision towards automatic software and system development and argue that reusing knowledge from existing projects as well as traceability between corresponding artifacts are important steps towards this vision. We furthermore list barriers that are currently experienced with software artifact reuse and traceability in industry and suggest some ideas to overcome these barriers.



Standards related to Self-aware

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