Integrated resource management for data stream systems

Berthold, Henrike; Schmidt, Sven; Lehner, Wolfgang; Hamann, C.

doi:10.1145/1066677.1066806

Cited by 11 publications

(8 citation statements)

References 8 publications

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“…Further studies [2,7] require the discussion of cases other than t 0 = 0. Additionally, this enables us to completely represent jitter by only one parameter as shown in [6,Corollary 1].…”

Section: Jitter-constrained Streams (Jcss)mentioning

confidence: 99%

“…The main focus of the discussion in [2,5,7] is a buffer P that is being filled by a JCS S = (T, D, τ, t 0 ) with data packets of equal size. Data packets are removed from the buffer with a constant temporal distance of T .…”

Section: Jitter-constrained Streams (Jcss)mentioning

confidence: 99%

“…The JCS model allows to investigate the equivalence of different sets of parameters and to transform descriptions between these parameter sets. Furthermore, the approach is used for buffer dimensioning in an experimental real-time operating system [7] and in data base environments where chains of converters produce and consume sequences of data packets of varying sizes and at varying time instants [2,11].…”

mentioning

confidence: 99%

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Scheduling Real-Time Components Using Jitter-Constrained Streams.

Hamann¹,

Zschaler²

2007

JOT

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Component-based applications require good middleware support. In particular, business logic should be separated from management code for guaranteeing nonfunctional properties of a system. We present an approach called ContainerManaged Quality Assurance, in which a component container uses nonfunctional specifications of components to determine how to use these components, and which system resources to allocate, to provide certain services with guaranteed nonfunctional properties.As an example, we show how this technique can be applied to automatically allocating CPU and memory resources for components with real-time constraints. To this end, we use a mathematical model based on jitter-constrained streams, a mathematical abstraction of event streams.

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“…Further studies [2,7] require the discussion of cases other than t 0 = 0. Additionally, this enables us to completely represent jitter by only one parameter as shown in [6,Corollary 1].…”

Section: Jitter-constrained Streams (Jcss)mentioning

confidence: 99%

Section: Jitter-constrained Streams (Jcss)mentioning

confidence: 99%

mentioning

confidence: 99%

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Scheduling Real-Time Components Using Jitter-Constrained Streams.

Hamann¹,

Zschaler²

2007

JOT

Self Cite

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“…Our implementation adapts to time-varying heterogeneity of the stream, and optimizes the storage layout and query processing accordingly. Berthold et al [4] proposed a model to predict quality of service metrics for query performance in data stream processing systems. Their cost model does not apply to our methods.…”

Section: Related Workmentioning

confidence: 99%

“…(3) A huge accumulation of readings must be stored in a short time. (4) The data are highly heterogeneous. A system that manages these infinite heterogeneous data streams must satisfy the following requirements: (a) Rate control mechanism to deal with fast streams; (b) Adaptive indexing for time-varying data structures; (c) Efficient data storage; (d) Everything must be append-only due to volume.…”

Section: Introductionmentioning

confidence: 99%