Quality-of-service specification in distributed object systems

Frølund, Svend; Koistinen, Jari

doi:10.1088/0967-1846/5/4/005

Cited by 145 publications

(97 citation statements)

References 5 publications

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“…QoS frameworks such as QuO [48], QML [15] and 2KQ+ [31], provide abstractions in order to enforce a contract over the bindings between a client and a server component. Depending on the implementation, a QoS contract verifies quality constraints such as latency, duration of a computation, throughput etc.…”

Section: Qos Contractsmentioning

confidence: 99%

“…The monitoring of such QoS constraints can happen on the application of certain functionalities of the component or during their execution. Several QoS contracts have made use of aspect technology in order to adapt the application according to the context [15,20]. However the focus of these contract systems is to adapt the application such that a certain QoS can be offered.…”

Section: Qos Contractsmentioning

confidence: 99%

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Computational contracts

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Tanter

Meuter

2015

Science of Computer Programming

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Pre/post contracts for higher-order functions, as proposed by Findler and Felleisen and provided in Racket, allow run-time verification and blame assignment of higher-order functions. However these contracts treat contracted functions as black boxes, allowing verification of only input and output. It turns out that many interesting concerns about the behaviour of a function require going beyond that black-box approach, in order to control the actual computation that follows from a function. Examples are prohibiting or verifying that certain functions are called, checking access permissions, time or memory constraints, interaction protocols, etc. To address this need for grey-box verification, while preserving support for higher-order programming and blame assignment, we introduce the notion of computational contracts. A computational contract is a contract over the execution of a contracted entity.We show various applications of computational contracts, and explain how to assign blame in case of a violation. Computational contracts have been integrated with the existing contract system of Racket. Computational contracts is the first contract model with blame assignment in a higher-order setting that provides a systematic way to perform grey box verification.

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Section: Qos Contractsmentioning

confidence: 99%

Section: Qos Contractsmentioning

confidence: 99%

Computational contracts

Scholliers

Tanter

Meuter

2015

Science of Computer Programming

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“…The NRP presented in Dermler et al [4] performs negotiation based on client-specified QoS value ranges and given resource availability on end-systems and communication links. Koistinen [8] described a multicategory QoS negotiation protocol that allows clients to compute the aggregate worth for each offer. Cavanaugh [3] developed a negotiation architecture in which a QoS manager detects QoS violations and initiates QoS negotiation by sending expected remedy actions to the resource manager.…”

Section: Related Workmentioning

confidence: 99%

QoS management in service-oriented architectures

Menascé

Ruan

Gomaa

2007

Performance Evaluation

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The next generation of software systems will be highly distributed, component-based and service-oriented. They will need to operate in unattended mode and possibly in hostile environments, will be composed of a large number of 'replaceable' components discoverable at run-time, and will have to run on a multitude of unknown and heterogeneous hardware and network platforms. This paper focuses on QoS management in service-oriented architectures in which service providers (SP) provide a set of interrelated services to service consumers, and a QoS broker mediates QoS negotiations between SPs and consumers. The main contributions of this paper are: (i) the description of an architecture that includes a QoS broker and service provider software components, (ii) the specification of a secure protocol for QoS negotiation with the support of a QoS broker, (iii) the specification of an admission control mechanism used by SPs, (iv) a report on the implementation of the QoS broker and SPs, and (v) the experimental validation of the ideas presented in the paper.

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“…4.2. The QoS definition language used for this prototype was the QoS Modeling Language -QML [FK98]. The reasons that led us to use this language along with specifics of the language are presented in Sect.…”

Section: Prototype Implementationmentioning

confidence: 99%

A Mobile Agent Infrastructure for QoS Negotiation of Adaptive Distributed Applications

Cardoso

Kon

2004

On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE

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Abstract. QoS-aware distributed applications such as certain Multimedia and Ubiquitous Computing applications can benefit greatly from the provision of QoS guarantees from the underlying system and middleware infrastructure. They must avoid execution glitches that affect the user's perception of the application output. Most research in QoS support for distributed systems focuses on three aspects of QoS management: admission control, resource reservation, and scheduling. However, in highly dynamic distributed environments, effective means for QoS negotiation and re-negotiation are also essential. We believe that mobile agents, due to its inherent flexibility and agility, can play an important role in this scenario, specially during the application adaptation process. We designed a mobile-agent-based infrastructure that provides services such as resource monitoring, QoS brokering, and QoS enforcement. Furthermore, our infrastructure offers a powerful mechanism for QoS negotiation. In this paper, we describe the architecture and prototype implementation of this infrastructure. First, we discuss the motivations and related works. We, then, present the architectural design and discuss implementation issues concerning the infrastructure prototype. Finally, we introduce a sample application called ReflectorAglet -a QoS-aware adaptive audio reflector -and present preliminary experimental results. MotivationMultimedia applications (such as video and audio streaming) and Ubiquitous Computing services are examples of distributed applications that have a clear need for quality of service guarantees. The success of this class of applications is tightly related to the user's level of satisfaction. These systems must avoid, at all costs, performance losses that might affect the user's perception of the application output. As a consequence, QoS-related services have become an important part of the infrastructure of distributed systems to enable the development of applications such as the ones described above.

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Quality-of-service specification in distributed object systems

Cited by 145 publications

References 5 publications

Computational contracts

Computational contracts

QoS management in service-oriented architectures

A Mobile Agent Infrastructure for QoS Negotiation of Adaptive Distributed Applications

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