Supporting QoS for Legacy Applications

Tsetsekas, Charilaos A.; Maniatis, Sotiris; Venieris, Iakovos S.

doi:10.1007/3-540-47734-9_11

Cited by 8 publications

(4 citation statements)

References 6 publications

(6 reference statements)

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“…Tstetekas et al [27] propose the use of proxy servers to determine the network requirements of Internet applications. The approach is not applicable to CPU allocation.…”

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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“…Tstetekas et al [27] propose the use of proxy servers to determine the network requirements of Internet applications. The approach is not applicable to CPU allocation.…”

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 particular in [10] the authors propose an architecture using proxy servers to determine the network requirements of Internet applications.…”

Section: Related Workmentioning

confidence: 99%

The wizard of OS: a heartbeat for Legacy multimedia applications

Cucinotta

Abeni

Palopoli

et al. 2009

2009 IEEE/ACM/IFIP 7th Workshop on Embedded Systems for Real-Time Multimedia

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Abstract-Multimedia applications are often characterised by implicit temporal constraints but, in many cases, they are not programmed using any specialised real-time API. These "Legacy applications" have no way to communicate their temporal constraints to the OS kernel, and their quality of service (QoS), being necessarily linked to the temporal behaviour, fails to satisfy acceptable standards. In this paper we propose an innovative way for dealing with these applications, based on the combination of an on-line identification mechanism (which extracts from high-level observations such important parameters as the execution rate) and an adaptive scheduler (specialised for legacy applications) that identifies the correct amount of CPU needed by each application.Preliminary experimental results are reported, proving the effectiveness of the proposed idea in providing a widely used multimedia player on Linux with appropriate QoS guarantees, through an appropriate choice of the scheduling parameters. Finally, a detailed road-map is presented with the possible extensions to the approach.

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“…Much research on QoS middleware has been done for general distributed systems (Nahrstedt et al, 2001;Tsetsekas et al, 2001). Although their systems are not designed for Web services, their motivation, position and functionality provide some useful background to the QoS broker design in our work.…”

Section: Introductionmentioning

confidence: 99%

The Design of QoS Broker Algorithms for QoS-Capable Web Services

Lin

2004

International Journal of Web Services Research

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QoS (Quality of Service) support in Web services is an important issue. In this paper, we present a QoScapable web service architecture, QCWS, by introducing a QoS broker module between service clients and providers (servers). The functions of the QoS broker module include collecting QoS information about servers, making selection decisions for clients, and negotiating with servers to get QoS commitments. We propose two resource allocation algorithms (HQ and RQ) used by QoS broker when broker acts as the front-end of a server. The goals of algorithms are to maximize the server resource usage while minimizing the QoS instability for each client. The QoS performance and instability tradeoffs of both algorithms are studied by simulation.

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Supporting QoS for Legacy Applications

Cited by 8 publications

References 6 publications

Self-tuning schedulers for legacy real-time applications

Self-tuning schedulers for legacy real-time applications

The wizard of OS: a heartbeat for Legacy multimedia applications

The Design of QoS Broker Algorithms for QoS-Capable Web Services

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