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Concept of Feedback in Future Computing Models to Cloud Systems
Distributed, Parallel, and Cluster Computing · Submitted 19 Feb 2014
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Such a tool may be just the introduction of feedback in computational models.
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The abstract, sentence by sentence
Currently, it is urgent to ensure QoS in distributed computing systems. This became especially important to the development and spread of cloud services. Big data structures become heavily distributed. Necessary to consider the communication channels and data transmission systems and virtualization and scalability in future design of computational models in problems of designing cloud systems, evaluating the effectiveness of the algorithms, the assessment of economic performance data centers. Requires not only the monitoring of data flows and computing resources, but also the operational management of these resources to QoS provide. Such a tool may be just the introduction of feedback in computational models. The article presents the main dynamic model with feedback as a basis for a new model of distributed computing processes. The research results are presented here. Formulated in this work can be used for other complex tasks - estimation of structural complexity of distributed databases, evaluation of dynamic characteristics of systems operating in the hybrid cloud, etc.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Currently, it is urgent to ensure QoS in distributed computing systems. | background 1.00 | 0.04 | 0.03 | asserted 1.00 |
| s1 | This became especially important to the development and spread of cloud services. | background 1.00 | 0.04 | 0.03 | asserted 0.99 |
| s2 | Big data structures become heavily distributed. | background 1.00 | 0.06 | 0.02 | asserted 0.99 |
| s3 | Necessary to consider the communication channels and data transmission systems and virtualization and scalability in future design of computational models in problems of designing cloud systems, evaluating the effectiveness of the algorithms, the assessment of economic performance data centers. | background 0.92 | 0.06 | 0.05 | asserted 0.79 |
| s4 | Requires not only the monitoring of data flows and computing resources, but also the operational management of these resources to QoS provide. | background 0.73 | 0.07 | 0.08 | asserted 0.98 |
| s5 | Such a tool may be just the introduction of feedback in computational models. | method 0.38 | 0.14 | 0.24 | hedged possibility 1.00 |
| s6 | The article presents the main dynamic model with feedback as a basis for a new model of distributed computing processes. | contribution 0.66 | 0.78 | 0.23 | asserted 0.99 |
| s7 | The research results are presented here. | contribution 0.81 | 0.55 | 0.04 | asserted 0.72 |
| s8 | Formulated in this work can be used for other complex tasks - estimation of structural complexity of distributed databases, evaluation of dynamic characteristics of systems operating in the hybrid cloud, etc. | future work 0.58 | 0.54 | 0.16 | hedged possibility 0.57 |
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The paper
Original abstract
Currently, it is urgent to ensure QoS in distributed computing systems. This became especially important to the development and spread of cloud services. Big data structures become heavily distributed. Necessary to consider the communication channels and data transmission systems and virtualization and scalability in future design of computational models in problems of designing cloud systems, evaluating the effectiveness of the algorithms, the assessment of economic performance data centers. Requires not only the monitoring of data flows and computing resources, but also the operational management of these resources to QoS provide. Such a tool may be just the introduction of feedback in computational models. The article presents the main dynamic model with feedback as a basis for a new model of distributed computing processes. The research results are presented here. Formulated in this work can be used for other complex tasks - estimation of structural complexity of distributed databases, evaluation of dynamic characteristics of systems operating in the hybrid cloud, etc.
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