Specification and management of QoS in imprecise real-time databases

Amirijoo, Mehdi; Hansson, J.; Son, Sang H.

doi:10.1109/ideas.2003.1214926

Cited by 14 publications

(11 citation statements)

References 15 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The closed-loop schedule concentrates mainly on designing a feedback mechanism for supporting wireless mobile communications services with dynamic QoS requirements [1,2,11,15,22]. controller and the feedback mechanism (figure 5).…”

Section: Closed-loop Schedulingmentioning

confidence: 99%

“…(1) The use the traffic characteristic to schedule the queuing data to reduce the delay. (2) The fair sharing of residual resources for data with a higher QoS requirement (figure 1). In this work, a fairness scheme, the λWFQ mechanism, an extension of the WFQ scheme, which involves optimization theory and LaGrange λ-calculus is proposed for scheduling resources in wireless network services with QoS provisioning.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Feedback Closed-Loop Scheduling Discipline for QoS Guarantee in Mobile Applications

Chen

2005

Wireless Netw

View full text Add to dashboard Cite

Multi-functional and high-quality services are indispensable for providing responsive information services in a highly interactive e-learning system. This work presents a problem-solving mechanism using closed-loop scheduling discipline to achieve QoS e-learning applications. In the closed-loop schedule, the feedback mechanism supports wireless mobile communications services with dynamic QoS requirements. This work presents a closed-loop architecture by cascading the open-loop schedule, the QoS probe, the Proportional-IntegralDerivative (PID) controller and the feedback mechanism. In this architecture, the relationship between input and output is defined using a Lagrange λ-calculus module. The module estimates the future QoS according to the current scheduling, while the controller parameters are tuned according to the system status to achieve dynamic scheduling. Simulation results with e-learning activities demonstrate that the closed-loop schedule outperforms existing disciplines in terms of service delay and system utilization.

show abstract

Section: Closed-loop Schedulingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feedback Closed-Loop Scheduling Discipline for QoS Guarantee in Mobile Applications

Chen

2005

Wireless Netw

View full text Add to dashboard Cite

show abstract

“…Those works consist of the applicability of most of the management techniques of the real-time transactions and/or real-time data [1,2,9,11].…”

Section: Architecture For Qos Management In Drtdbmsmentioning

confidence: 99%

“…During overload periods, DRTDBMS will potentially have fewer resources, and then real-time transactions will miss their deadlines. To address this problem, more studies focus on feedback control techniques have been proposed [1,5] to provide better QoS guarantees in replicated environment.…”

Section: Introductionmentioning

confidence: 99%

A Quality of Service Management in Distributed Feedback Control Scheduling Architecture Using Different Replication Policies

Salem

Bouazizi

Bouaziz

et al. 2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

View full text Add to dashboard Cite

In our days, there are many real-time applications that use data which are geographically dispersed. The distributed real-time database management systems (DRTDBMS) have been used to manage large amount of distributed data while meeting the stringent temporal requirements in real-time applications. Providing Quality of Service (QoS) guarantees in DRTDBMSs is a challenging task. To address this problem, different research works are often based on distributed feedback control real-time scheduling architecture (DFCSA). Data replication is an efficient method to help DRTDBMS meeting the stringent temporal requirements of real-time applications. In literature, many works have designed algorithms that provide QoS guarantees in distributed real-time databases using only full temporal data replication policy.In this paper, we have applied two data replication policies in a distributed feedback control scheduling architecture to manage a QoS performance for DRTDBMS. The first proposed data replication policy is called semi-total replication, and the second is called partial replication policy.

show abstract

“…Imprecise computation and feedback control scheduling have been used for QoS management of RTDBs [6,7,8]. In this approach the notion of imprecise computation is applied on transactions as well as data, i.e., data objects are allowed to deviate, to a certain degree, from their corresponding values in the external environment.…”

Section: Qos Management Using Imprecisionmentioning

confidence: 99%

Real-Time Databases and Data Services

2004

View full text Add to dashboard Cite

Specification and management of QoS in imprecise real-time databases

Abstract: Real-time applications such as e-commerce, flight control, chemical and nuclear control, and

Cited by 14 publications

References 15 publications

Feedback Closed-Loop Scheduling Discipline for QoS Guarantee in Mobile Applications

Feedback Closed-Loop Scheduling Discipline for QoS Guarantee in Mobile Applications

A Quality of Service Management in Distributed Feedback Control Scheduling Architecture Using Different Replication Policies

Real-Time Databases and Data Services

Contact Info

Product

Resources

About