A java virtual machine architecture for very small devices

Shaylor, Nik; Simon, Douglas N.; Bush, William R.

doi:10.1145/780732.780738

Cited by 24 publications

(14 citation statements)

References 5 publications

(2 reference statements)

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“…A standard KVM supporting the CDC configuration is about 40 Kbytes of code when compiled for x86. Recent work on the Squawk virtual machine [14], which aims at providing an efficient CLDC-compliant virtual machine for nextgeneration smart cards, resulted in a virtual machine memory footprint of 26 Kbytes. Our results obtained by customizing a J2SE virtual machine are therefore quite comparable with these more static solutions.…”

Section: Resultsmentioning

confidence: 99%

Application-Driven Customization of an Embedded Java Virtual Machine

Courbot

Grimaud

Vandewalle

et al. 2005

Embedded and Ubiquitous Computing – EUC 2005 Workshops

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Abstract. Java for embedded devices is today synonym of "embeddable pseudo-Java". Embedded flavors of Java introduce incompatibilities against the standard edition and break its portability rule. In this paper, we introduce a way to embed applications written for Java 2 Standard Edition. The applications are pre-deployed into a virtual Java execution environment, which is analyzed in order to tailor the embedded Java virtual machine according to their runtime needs. Experiments reveal that this method produces customized virtual machines that are comparable in size to existing embedded Java solutions, while being more flexible and preserving standard Java compatibility.

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Section: Resultsmentioning

confidence: 99%

Application-Driven Customization of an Embedded Java Virtual Machine

Courbot

Grimaud

Vandewalle

et al. 2005

Embedded and Ubiquitous Computing – EUC 2005 Workshops

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“…Although several Java virtual machines exist that are targeted at low-power embedded systems [91]- [93], they still require a significant amount of resources. Our approach differs by generating customized C code, which is in turn compiled into optimized binary code.…”

Section: Model-driven Development (Mdd)mentioning

confidence: 99%

makeSense: Simplifying the Integration of Wireless Sensor Networks into Business Processes

Mottola

Picco

Oppermann³

et al. 2019

IIEEE Trans. Software Eng.

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Abstract-A wide gap exists between the state of the art in developing Wireless Sensor Network (WSN) software and current practices concerning the design, execution, and maintenance of business processes. WSN software is most often developed based on low-level OS abstractions, whereas business process development leverages high-level languages and tools. This state of affairs places WSNs at the fringe of industry. The makeSense system addresses this problem by simplifying the integration of WSNs into business processes. Developers use BPMN models extended with WSN-specific constructs to specify the application behavior across both traditional business process execution environments and the WSN itself, which is to be equipped with application-specific software. We compile these models into a high-level intermediate language-also directly usable by WSN developers-and then into OS-specific deployment-ready binaries. Key to this process is the notion of meta-abstraction, which we define to capture fundamental patterns of interaction with and within the WSN. The concrete realization of meta-abstractions is application-specific; developers tailor the system configuration by selecting concrete abstractions out of the existing codebase or by providing their own. Our evaluation of makeSense shows that i) users perceive our approach as a significant advance over the state of the art, providing evidence of the increased developer productivity when using makeSense; ii) in large-scale simulations, our prototype exhibits an acceptable system overhead and good scaling properties, demonstrating the general applicability of makeSense; and, iii) our prototype-including the complete tool-chain and underlying system support-sustains a real-world deployment where estimates by domain specialists indicate the potential for drastic reductions in the total cost of ownership compared to wired and conventional WSN-based solutions.

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“…Squawk is a closed-source JVM that encompasses necessary operating system functionalities, so that it can run directly on hardware Shaylor et al (2003). The remains of this section presents the hardware capacity of these technologies and a comparison with other technologies.…”

Section: Technologies Advancementsmentioning

confidence: 99%

Factors that May Influence the Performance of Wireless Sensor Networks

Mansouri¹,

Sardouk²,

Merghem-Boulahia³

et al. 2010

Smart Wireless Sensor Networks

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The recent development of communication and sensor technology results in the growth of a new attractive and challenging area â€" wireless sensor networks (WSNs). A wireless sensor network which consists of a large number of sensor nodes is deployed in environmental fields to serve various applications. Facilitated with the ability of wireless communication and intelligent computation, these nodes become smart sensors which do not only perceive ambient physical parameters but also be able to process information, cooperate with each other and self-organize into the network. These new features assist the sensor nodes as well as the network to operate more efficiently in terms of both data acquisition and energy consumption. Special purposes of the applications require design and operation of WSNs different from conventional networks such as the internet. The network design must take into account of the objectives of specific applications. The nature of deployed environment must be considered. The limited of sensor nodesâ€™ resources such as memory, computational ability, communication bandwidth and energy source are the challenges in network design. A smart wireless sensor network must be able to deal with these constraints as well as to guarantee the connectivity, coverage, reliability and security of networkâ€™s operation for a maximized lifetime. This book discusses various aspects of designing such smart wireless sensor networks. Main topics includes: design methodologies, network protocols and algorithms, quality of service management, coverage optimization, time synchronization and security techniques for sensor networks.

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A java virtual machine architecture for very small devices

Cited by 24 publications

References 5 publications

Application-Driven Customization of an Embedded Java Virtual Machine

Application-Driven Customization of an Embedded Java Virtual Machine

makeSense: Simplifying the Integration of Wireless Sensor Networks into Business Processes

Factors that May Influence the Performance of Wireless Sensor Networks

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