Enabling collaborative adaptation across legacy components

Yang, Zhefei; Zhou, Zucheng; Cheng, Betty H. C.; McKinley, Philip K.

doi:10.1145/1028613.1028629

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…This poses problems towards applying them to legacy procedural systems. There have also been attempts at decoupling legacy procedural codes at runtime by wrapping [16] and reference indirection (often through message passing schemes) [40]. These schemes, however, increase overheads while LLL maintains both the simplicity and efficiency of direct reference-definition bindings.…”

Section: Related Workmentioning

confidence: 99%

Develop once deploy anywhere achieving adaptivity with a runtime linker/loader framework

Mukherjee

Varadarajan

2005

Proceedings of the 4th Workshop on Reflective and Adaptive Middleware Systems - ARM '05

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This paper presents Load and Let Link -a framework for flexible runtime loading and linking of procedural native code components. LLL has several novel aspects. First, it provides componentization without requiring an object-oriented language. Second, LLL performs linking at runtime, providing arbitrary code expansion, contraction and substitution. This enables (a) adaptive applications that can rewire themselves in response to dynamic conditions, (b) code patching for mission critical systems and (c) automatic overlaying in memory constrained environments. LLL is language neutral and orthogonal to current software development methodologies, thus providing the substrate for the next generation of develop once deploy anywhere software. In this paper, we present the LLL framework, its implementation on 32 bit x86 architectures and two case studies that showcase the capabilities of the framework.

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Section: Related Workmentioning

confidence: 99%

Develop once deploy anywhere achieving adaptivity with a runtime linker/loader framework

Mukherjee

Varadarajan

2005

Proceedings of the 4th Workshop on Reflective and Adaptive Middleware Systems - ARM '05

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“…In taking initial steps in answering these questions, we build upon adaptive security [20] and collaborative adaptation [23]. The former focuses on identifying the security controls necessary to keep security requirements satisfied despite changes in the environment.…”

Section: Introductionmentioning

confidence: 99%

Requirements-driven mediation for collaborative security

Bennaceur

Bandara

Jackson

et al. 2014

Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

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Security is concerned with the protection of assets from intentional harm. Secure systems provide capabilities that enable such protection to satisfy some security requirements. In a world increasingly populated with mobile and ubiquitous computing technology, the scope and boundary of security systems can be uncertain and can change. A single functional component, or even multiple components individually, are often insufficient to satisfy complex security requirements on their own.Adaptive security aims to enable systems to vary their protection in the face of changes in their operational environment. Collaborative security, which we propose in this paper, aims to exploit the selection and deployment of multiple, potentially heterogeneous, software-intensive components to collaborate in order to meet security requirements in the face of changes in the environment, changes in assets under protection and their values, and the discovery of new threats and vulnerabilities.However, the components that need to collaborate may not have been designed and implemented to interact with one another collaboratively. To address this, we propose a novel framework for collaborative security that combines adaptive security, collaborative adaptation and an explicit representation of the capabilities of the software components that may be needed in order to achieve collaborative security. We elaborate on each of these framework elements, focusing in particular on the challenges and opportunities afforded by (1) the ability to capture, represent, and reason about the capabilities of different software components and their operational context, and (2) the ability of components to be selected and mediated at runtime in order to satisfy the security requirements. We illustrate our vision through a collaborative robotic implementation, and suggest some areas for future work.

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COCA: A Contract-Based Infrastructure for Composing Adaptive Multimedia Systems

Zhou

McKinley

2006

26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06)

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Enabling collaborative adaptation across legacy components

Cited by 3 publications

References 22 publications

Develop once deploy anywhere achieving adaptivity with a runtime linker/loader framework

Develop once deploy anywhere achieving adaptivity with a runtime linker/loader framework

Requirements-driven mediation for collaborative security

COCA: A Contract-Based Infrastructure for Composing Adaptive Multimedia Systems

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