Integration of QoS-Enabled Distributed Object Computing Middleware for Developing Next-Generation Distributed Application

Krishnamurthy, Yamuna; Kachroo, Vishal; Karr, David A.; Rodrigues, Craig; Schmidt, Douglas C.

doi:10.1145/384197.384228

Cited by 16 publications

(14 citation statements)

References 11 publications

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“…More importantly, their work is based on so called "symbiotic" interfaces, a sort of API used by applications in order to allow external components to monitor their progress. A similar approach is proposed by Eide et al [10], in the context of the QuO framework [15]. Although the authors claim a "noninvasive" introduction of the adaptation logic for the applications, their approach is clearly targeted at applications constructed using the RT-Corba middleware (in fact an API), which simplifies the interaction with a resource allocation module.…”

Section: Related Workmentioning

confidence: 99%

Self-tuning schedulers for legacy real-time applications

Cucinotta

Checconi

Abeni

et al. 2010

Proceedings of the 5th European Conference on Computer Systems

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We present an approach for adaptive scheduling of soft realtime legacy applications (for which no timing information is exposed to the system). Our strategy is based on the combination of two techniques: 1) a real-time monitor that observes the sequence of events generated by the application to infer its activation period, 2) a feedback mechanism that adapts the scheduling parameters to ensure a timely execution of the application. By a thorough experimental evaluation of an implementation of our approach, we show its performance and its efficiency.

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Section: Related Workmentioning

confidence: 99%

Self-tuning schedulers for legacy real-time applications

Cucinotta

Checconi

Abeni

et al. 2010

Proceedings of the 5th European Conference on Computer Systems

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“…In our long experience in building distributed applications, it is very difficult to avoid QoS Stovepipe Systems without an interceding layer of QoS-enabled middleware. Such QoS-enabled middleware can be provided by experts through common infrastructure not only for functional interoperability but also for non-functional properties; such middleware has been under research study and transition evaluation since the mid-1990s and later has been offered as standardized commercial products (e.g., by the OMG) [34]. This allows middleware vendors to establish which mechanisms providing different nonfunctional properties can be used and combined in which ways under which operating conditions, and package this up for programmers to use at a higher level.…”

Section: Middleware and Qos Interoperabilitymentioning

confidence: 99%

Cognitive Radio Sensor Networks in Smart Grid

Ergül¹,

Cetinkaya²,

Akan³

2017

Smart Grid

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Interoperability is a key requirement for data communications in the "smart grid". It has been articulated at great length by the GridWise Architecture Council (GWAC). However, the interoperability issues identified here to date include only interoperability of the data exchange. In this paper, we first argue that middleware is a key enabling technology for helping meet interoperability requirements and avoid stovepipe systems in the smart grid. We then argue that the smart grid's data communications must support interoperability of Quality of Service (QoS) and security mechanisms across an entire power grid; this will necessarily involve traversing multiple organizations' IT infrastructures that may have different network-level mechanisms for providing QoS and security. We introduce the concept of QoS stovepipes to illustrate how such QoS and security interoperability may occur. We then argue that the application programmer interface for such QoS and security requirements must be kept as high-level as possible to avoid QoS stovepipes. Finally, we argue that middleware-level mechanisms are a much better way to provide this end-to-end QoS and security, compared to the usual technique in the power grid of using (and getting locked into) network-level mechanisms (which the middleware is built on top of).

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“…Later, TAO was integrated with QuO [29,21], a framework that exploits the capabilities of CORBA to reduce the impact of QoS management on the application code. The result [45] is a middleware for adaptive QoS control.…”

Section: Real-time Network Schedulingmentioning

confidence: 99%

Modular software architecture for flexible reservation mechanisms on heterogeneous resources

Sójka

Píša

Faggioli

et al. 2011

Journal of Systems Architecture

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Management, allocation and scheduling of heterogeneous resources for complex distributed real-time applications is a challenging problem. Timing constraints of applications may be fulfilled by a proper use of real-time scheduling policies, admission control and enforcement of timing constraints. However, it is not easy to design basic infrastructure services that allow for an easy access to the allocation of multiple heterogeneous resources in a distributed environment.In this paper, we present a middleware for providing distributed soft real-time applications with a uniform API for reserving heterogeneous resources with real-time scheduling capabilities in a distributed environment. The architecture relies on standard POSIX OS facilities, such as time management and standard TCP/IP networking services, and it is designed around CORBA, in order to facilitate modularity, flexibility and portability of the applications using it. However, real-time scheduling is supported by proper extensions at the kernel-level, plugged within the framework by means of dedicated resource managers. Our current implementation on Linux supports reservation of CPU, disk and network bandwidth. However, additional resource managers supporting alternative real-time schedulers for these resources, as well as additional types of resources, may be easily added.We present experimental results gathered on both synthetic applications and a real multimedia video streaming case study, showing advantages deriving from the use of the proposed middleware. Finally, overhead figures are reported, showing sustainability of the approach for a wide class of complex, distributed, soft real-time applications.

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Integration of QoS-Enabled Distributed Object Computing Middleware for Developing Next-Generation Distributed Application

Cited by 16 publications

References 11 publications

Self-tuning schedulers for legacy real-time applications

Self-tuning schedulers for legacy real-time applications

Cognitive Radio Sensor Networks in Smart Grid

Modular software architecture for flexible reservation mechanisms on heterogeneous resources

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