Case analysis of a Cost-Optimal QoS aggregation policy for network mobility

Kamel, George; Mihailović, Andrej; Aghvami, A.H.

doi:10.1109/lcomm.2008.071662

Cited by 10 publications

(9 citation statements)

References 5 publications

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“…However, since all received requests should wait for the next adjustment, additional waiting cost is introduced by those policies. Other policies for aggregation size adjustment can be found in [27] [50].…”

Section: Aggregation Policiesmentioning

confidence: 99%

End-to-End Resource Reservation in IP Mobility Scenarios: A Survey

Xing¹,

Hai²

2016

IJFGCN

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Section: Aggregation Policiesmentioning

confidence: 99%

End-to-End Resource Reservation in IP Mobility Scenarios: A Survey

Xing¹,

Hai²

2016

IJFGCN

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“…Although the above bandwidth aggregation schemes improve the signaling efficiency by maintaining a single QoS state for the whole MN rather than for each individual session, its benefit may be undermined by the necessity of constantly maintaining this state when sessions are frequently created and terminated. Thus, Kamel et al [7,8] propose a dynamic cost-driven QoS aggregation policy, which aims at minimizing the cost per unit time of each aggregation cycle. The cost consists of a cost for holding QoS requests and a cost for sending a message to the access network to create or update a resource reservation.…”

Section: Related Workmentioning

confidence: 99%

“…For the QoS control in NEMO, however, the individual resource reservation has high signaling cost, because each active session transmits the same signaling from the inside gateway to the outside access network for QoS requesting and QoS state refreshing. Thus, several schemes 4–8 are proposed, in which the inside gateway realizes bandwidth sharing and QoS request aggregation by maintaining a single QoS reservation state on behalf of all the MTs.…”

Section: Introductionmentioning

confidence: 99%

“…Considering the evolution of 4G networks, current QoS control schemes [4][5][6][7][8] have two drawbacks: (1) heterogeneous access networks are not considered, and all the sessions inside the MN can only be connected to a single network. Thus, the available resources of multiple access networks are not fully utilized; (2) the reserved bandwidth from the inside gateway to the access network is not utilized effectively.…”

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confidence: 99%

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An optimized QoS scheme for IMS‐NEMO in heterogeneous networks

Liao

et al. 2011

Int J Communication

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SUMMARYThe network mobility (NEMO) is proposed to support the mobility management when users move as a whole. In IP Multimedia Subsystem (IMS), the individual Quality of Service (QoS) control for NEMO results in excessive signaling cost. On the other hand, current QoS schemes have two drawbacks: unawareness of the heterogeneous wireless environment and inefficient utilization of the reserved bandwidth.To solve these problems, we present a novel heterogeneous bandwidth sharing (HBS) scheme for QoS provision under IMS-based NEMO (IMS-NEMO). The HBS scheme selects the most suitable access network for each session and enables the new coming non-real-time sessions to share bandwidth with the Variable Bit Rate (VBR) coded media flows. The modeling and simulation results demonstrate that the HBS can satisfy users' QoS requirement and obtain a more efficient use of the scarce wireless bandwidth.

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Section: Aggregation Issues and Related Workmentioning

confidence: 99%

Aggregation methods for integrated services

Lin

Labiod

2011

Int J Communication

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SUMMARYReservation aggregation provides scalability to the IETF Integrated Services (IntServ) by reducing the high number of states stored at internal routers and the number of signaling messages processed at these routers. However, in the case of frequent joining and leaving of individual flows, the latter benefit will be lost due to frequent adjustment of aggregation size. In this paper, to reduce aggregation adjustment frequency, we focus on investigating two critical parameters: aggregation size and the lower threshold. We propose two policies to find out the optimal values of these criteria. One policy called Two Bounded operating Policy (TBP) is parameter-based policy and the other called Resource request Variance Policy (RVP) is measure-based policy. The calculation of these optimal values considers three costs: underutilization cost, signaling cost and holding cost. In our evaluation study, we compare the proposed two policies with two others, Temporal Operating Policy (TOP) and Cardinal Operating Policy (COP). This study shows that our mechanisms outperform the previous propositions in terms of cost and blocking ratio.

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Case analysis of a Cost-Optimal QoS aggregation policy for network mobility

Cited by 10 publications

References 5 publications

End-to-End Resource Reservation in IP Mobility Scenarios: A Survey

End-to-End Resource Reservation in IP Mobility Scenarios: A Survey

An optimized QoS scheme for IMS‐NEMO in heterogeneous networks

Aggregation methods for integrated services

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