Current Challenges in Embedded Communication Systems

Isoaho, Jouni; Virtanen, Seppo; Plosila, Juha

doi:10.4018/jertcs.2010103001

Cited by 6 publications

(4 citation statements)

References 42 publications

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“…Self-adaptive computing (Salehie & Tahvildari, 2009;Isoaho, Virtanen, & Plosila, 2010), a concept originating from autonomic computing (Horn, 2001), is a promising approach to tackle with the variations and unpredictability of massively parallel embedded systems. A self-adaptive system firstly monitors its own status and the surrounding environment, in other words, with both self-awareness and context-awareness.…”

Section: Self-adaptive Nocsmentioning

confidence: 99%

“…Context-awareness (Parashar & Hariri, 2005) refers to the monitoring of external status, for instance the environmental temperature and the behaviors of neighboring systems. Based on the self-and context awareness, the system is capable of making adaptation to optimize and match its function to different situations (Isoaho et al, 2010).…”

Section: Self-adaptive Nocsmentioning

confidence: 99%

See 1 more Smart Citation

Survey of Self-Adaptive NoCs with Energy-Efficiency and Dependability

Isoaho

Plosila

Guang

et al. 2012

International Journal of Embedded and Real-Time Communication Systems

Self Cite

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The self-adaptive Network-on-Chip (NoC) is a promising communication architecture for massively parallel embedded systems. With constant technology scaling and the consequent stronger influence of process variations, the necessity of run-time monitoring and adaptive reconfiguration becomes widely acknowledged. This article presents a survey of existing techniques and methods, in particular for energy efficiency and dependability. The article firstly examines the motivation of self-adaptive computing in parallel embedded systems. A self-adaptive system model is abstracted, which is composed of goals, monitoring interface, and self-adaptation. Based on the model, the authors extensively survey previous works addressing adaptive NoCs with different monitoring techniques and reconfiguration methods, for power/energy optimization and dependability enhancement. Several design examples are elaborated which serve proper guiding purposes. The authors also identify important issues which are often overlooked or deserve more attention. The article provides review and insight for future design on this topic.

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Section: Self-adaptive Nocsmentioning

confidence: 99%

Section: Self-adaptive Nocsmentioning

confidence: 99%

Survey of Self-Adaptive NoCs with Energy-Efficiency and Dependability

Isoaho

Plosila

Guang

et al. 2012

International Journal of Embedded and Real-Time Communication Systems

Self Cite

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show abstract

“…Together with this convergence, modern systems need to be selfaware and autonomous. Such a system is able to monitor its own status and make necessary reconfigurations under dynamic environmental changes (Isoaho et al, 2010). Key objectives of self-aware systems include dependability, ecology and scalability.…”

Section: Multidisciplinary Ict Innovationmentioning

confidence: 99%

Incubator Platform for Multidisciplinary Innovation in Research and Education

Nigussie

Guang

Boyko

et al. 2012

International Journal of Knowledge Society Research

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In this article, an incubator platform concept is presented to demonstrate the authors' approach in meeting the enormous challenges faced by future multidisciplinary research and education. The abstraction level of laboratory projects needs to be raised to a level where the researchers and students have the opportunity to deal with hands-on real-life system-level problems and decisions, while simultaneously various fundamental key technologies of the information society are integrated into the systems. Their approach is concretized by an Incubator experimental platform. Facilitated by this environment, researchers, engineers and students can join their efforts in developing next-generation products in a well-organized manner. The targeted products must meet the increasingly important special characteristics required for the digital era -self-and context-awareness, built-in information security, distributed networking, enormous scalability and device interoperability. Many projects are today developed by distributed multicultural teams, so it is a necessity that the development can also be implemented in co-operation of several universities in different countries, in order to promote the career skills of the students. The incubator platform proposed in this article is able to provide viable answers and solutions to all the mentioned challenges in engineering research and education, coupling the curriculum tightly to top-class academic research.

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“…Rather than exhibiting pre-programmed behavior, it would in many applications be beneficial for systems to be able to adapt to their environment. Isoaho et al (2010) analyze current key challenges in developing embedded systems. One of the outlined main…”

Section: Introductionmentioning

confidence: 99%

Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems

Tenhunen

Liljeberg

Pahikkala

et al. 2012

International Journal of Embedded and Real-Time Communication Systems

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The authors introduce a machine learning approach based on parallel online regularized least-squares learning algorithm for parallel embedded hardware platforms. The system is suitable for use in real-time adaptive systems. Firstly, the system can learn in online fashion, a property required in real-life applications of embedded machine learning systems. Secondly, to guarantee real-time response in embedded multi-core computer architectures, the learning system is parallelized and able to operate with a limited amount of computational and memory resources. Thirdly, the system can predict several labels simultaneously. The authors evaluate the performance of the algorithm from three different perspectives. The prediction performance is evaluated on a hand-written digit recognition task. The computational speed is measured from 1 thread to 4 threads, in a quad-core platform. As a promising unconventional multi-core architecture, Network-on-Chip platform is studied for the algorithm. The authors construct a NoC consisting of a 4x4 mesh. The machine learning algorithm is implemented in this platform with up to 16 threads. It is shown that the memory consumption and cache efficiency can be considerably improved by optimizing the cache behavior of the system. The authors’ results provide a guideline for designing future embedded multi-core machine learning devices.

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Current Challenges in Embedded Communication Systems

Cited by 6 publications

References 42 publications

Survey of Self-Adaptive NoCs with Energy-Efficiency and Dependability

Survey of Self-Adaptive NoCs with Energy-Efficiency and Dependability

Incubator Platform for Multidisciplinary Innovation in Research and Education

Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems

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