Enabling self-adaptivity in component-based streaming applications

Derin, Onur; Ferrante, Alberto

doi:10.1145/1851340.1851356

Cited by 2 publications

(8 citation statements)

References 7 publications

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“…In [5], authors presented a monitor-controller-adapterbased framework to enable self-adaptivity for streaming applications. The paper introduces a framework based on the KPN computation model.…”

Section: Related Workmentioning

confidence: 99%

“…This section presents our framework to build self-adaptive component-based applications by incorporating a distributed monitor-controller-adapter (M-C-A) mechanism in the KPN application pipeline (as proposed in [5]). Monitoring involves measurements of various parameters to check whether the system meets the assigned goals.…”

Section: Self-adaptive Kpn Applications Using Distributed M-c-a Framementioning

confidence: 99%

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Towards Self-Adaptive KPN Applications on NoC-Based MPSoCs

Derin

Ramankutty

Meloni

et al. 2012

Advances in Software Engineering

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Self-adaptivity is the ability of a system to adapt itself dynamically to internal and external changes. Such a capability helps systems to meet the performance and quality goals, while judiciously using available resources. In this paper, we propose a framework to implement application level self-adaptation capabilities in KPN applications running on NoC-based MPSoCs. The monitorcontroller-adapter mechanism is used at the application level. The monitor measures various parameters to check whether the system meets the assigned goals. The controller takes decisions to steer the system towards the goal, which are applied by the adapters. The proposed framework requires minimal modifications to the application code and offers ease of integration. It incorporates a generic adaptation controller based on fuzzy logic. We present the MJPEG encoder as a case study to demonstrate the effectiveness of the approach. Our results show that even if the parameters of the fuzzy controller are not tuned optimally, the adaptation convergence is achieved within reasonable time and error limits. Moreover, the incurred steady-state overhead due to the framework is 4% for average frame-rate, 3.5% for average bit-rate, and 0.5% for additional control data introduced in the network.

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Section: Related Workmentioning

confidence: 99%

Section: Self-adaptive Kpn Applications Using Distributed M-c-a Framementioning

confidence: 99%

Towards Self-Adaptive KPN Applications on NoC-Based MPSoCs

Derin

Ramankutty

Meloni

et al. 2012

Advances in Software Engineering

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“…SACRE [4] is a component framework that allows creating self-adaptive applications based on software components and incorporates the Monitor-Controller-Adapter loop [5] with the application pipeline. The component model is based on KPN.…”

Section: Middleware Implementationmentioning

confidence: 99%

“…It consists of a middleware that provides standard interfaces to the application components allowing them to communicate without knowing about the particularities of the network interface and the communication network in general. Moreover, the distributed run-time environment can manage the adaptation of the application for high-level goals such as fault-tolerance, high performance, and lowpower consumption by migrating the application components between the available resources and/or increasing the parallelism of the application by instantiating multiple copies of the same component on different resources [3,4]. Such a selfadaptive RTE constitutes a fundamental part in order to enable systemwide self-adaptivity and continuity of service support [5].…”

Section: Introductionmentioning

confidence: 99%

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A Middleware Approach to Achieving Fault Tolerance of Kahn Process Networks on Networks on Chips

Derin

Diken

Fiorin

2011

International Journal of Reconfigurable Computing

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Kahn process networks (KPNs) is a distributed model of computation used for describing systems where streams of data are transformed by processes executing in sequence or parallel. Autonomous processes communicate through unbounded FIFO channels in absence of a global scheduler. In this work, we propose a task-aware middleware concept that allows adaptivity in KPN implemented over a Network on Chip (NoC). We also list our ideas on the development of a simulation platform as an initial step towards creating fault tolerance strategies for KPNs applications running on NoCs. In doing that, we extend our SACRE (Self-Adaptive Component Run Time Environment) framework by integrating it with an open source NoC simulator, Noxim. We evaluate the overhead that the middleware brings to the the total execution time and to the total amount of data transferred in the NoC. With this work, we also provide a methodology that can help in identifying the requirements and implementing fault tolerance and adaptivity support on real platforms.

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Enabling self-adaptivity in component-based streaming applications

Cited by 2 publications

References 7 publications

Towards Self-Adaptive KPN Applications on NoC-Based MPSoCs

Towards Self-Adaptive KPN Applications on NoC-Based MPSoCs

A Middleware Approach to Achieving Fault Tolerance of Kahn Process Networks on Networks on Chips

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