Mobility Management Using Virtual Domain in IPv6-based C ellular Networks
DMAP: integrated mobility and service management in mobile IPv6 systems
description
Transcript of DMAP: integrated mobility and service management in mobile IPv6 systems
DMAP: integrated mobility and service management
in mobile IPv6 systems
Authors: Ing-Ray Chen Weiping He Baoshan GuPresenters: Chia-Shen Lee Xiaochen Ding
Outline
Introduction Related Work DMAP Model Numerical Results Applicability and Conclusion
Introduction
MIPv6 - Mobile IPv6 A version of mobile IP, it allows an IPv6 node to be mobile
and still maintain existing connections;
HMIPv6 - Hierarchical Mobile IPv6 Proposed enhancement of MIPv6, it is designed to reduce
the amount of signaling required and to improve handoff speed for mobile connections;
MAP – Mobility Anchor Point Serving as a local entity to aid in mobile handoffs, it can be
located anywhere within a hierarchy of routers;
Introduction HA - home agent
A router on a mobile node’s home network that maintains information about the device’s current location, as identified in its CoA;
CoA - care of address A temporary IP address for a mobile node that enables
message delivery when the device is connecting from somewhere other than its home network;
Location handoff Mobile node moves across a subnet boundary;
Service handoff Mobile node moves across a DMAP domain boundary;
Related Work
MIP-RR MIP Regional Registration, uses a Gateway
Foreign Agent to provide a regional CoA, which acts as a proxy for regional movement management;
The design is for mobility management only without considering service management-induced network cost.
Related Work
Hierarchical MIPv6 In HMIPv6, a regional CoA (RCoA) is allocated to
a mobile node, in addition to a CoA, whenever the mobile node enters a new MAP domain;
MAPs in HMIPv6 are statically configured and shared by all mobile nodes in the system;
There is no mechanism provided to determine the size of a MAP domain in HMIPv6 for all mobile nodes that would minimize the network cost.
Related Work
IDMP It introduces the concept of domain mobility with a
domain and a domain agent to keep track of CoA of a mobile node as the mobile node roams within a domain;
It can be combined with fast handoff mechanisms utilizing multicasting to reduce handoff latency and paging mechanisms to reduce the network signaling cost for intra-domain movements.
DMAP
The essence of DMAP is the notion of integrated mobility and service management, which is achieved by determining an optimal service area size;
The objective is to minimize the total network signaling and communication overhead in servicing the mobile node’s mobility and service management operations;
DMAP
Inter-regional move The mobile node makes the AR of the subnet as
the DMAP when it crosses a service area, and it also determines the size of the new service area;
MN acquires a RCoA as well as a CoA from the current subnet and registers the address pair to the current DMAP in a binding request message;
DMAP
Inter-regional move The MN also informs the HA and CNs of the new
RCoA address change in another binding message so that the HA and CNs would know the MN by its new RCoA address;
DMAP intercepts the packet destined for RCoA, inspects the address pair stored in the internal table, finds out MN’s CoA and forwards the packet to the MN through tunneling;
DMAP
Intra-regional move When the MN subsequently crosses a subnet but
is still located within the service area, it would inform the MAP of the CoA address change without informing the HA and CNs to reduce the network signaling cost;
DMAP
DMAP
A MN’s service area can be modeled as consisting of K IP subnets;
The MN appoints a new DMAP only when it crosses a service area whose size is determined based on the mobility and service characteristics of the MN in the new service area;
The service area size of the DMAP is not necessarily uniform;
DMAP
A large service area size means that the DMAP will not change often, while a small service area size means that the DMAP will be changed often so it will stay close to the MN;
There is a trade-off between two cost factors and an optimal service area exists;
DMAP
The service and mobility characteristics of a MN are summarized by two parameters: The resident time that the MN stays in a subnet,
represented by using the MN’s mobility rate σ; The service traffic between the MN and server
applications, represented by using the data packet rate λ;
The ratio of λ/ σ is called the service to mobility ratio (SMR) of the MN;
Model
We devise a computational procedure to determine the optimal service area size The intent to find the optimal service area based
on the MN’s mobility and service behaviors The computational procedure requires
Every AR must be capable of acting as a MAP Each MN must be powerful enough to collect data
dynamically and perform simple statistical analysis
Model
We aim to minimize the communication cost The signaling overhead for mobility management
for informing the DMAP of the CoA changes Informing the HA and CNs of the RCoA changes The communication overhead for service
management for delivering data packets between the MN and CNs
Our SPN model is shown later
Model
Symbol Meaning
λ Data packet rate between the MN and CNs
σ Mobility rate at which the MN moves across subnet boundaries
SMR Service to mobility ratio (λ/σ)
N Number of server engaged by the MN
F(K) A general function relating the number of subnets K to the number of hops
Model
Symbol Meaning
K Number of subnets in one service area
τ 1-hop communication delay per packet in wired networks
α Average distance between HA and MAP
β Average distance between CN and MAP
γ Cost ratio between wireless vs. wired network
Stochastic Petri Net
Moves
tmp
Xs
Move NewDMAP
MN2DMAP
K
KA
B
Pi=1
Pj=1
(Guard:Mark(Xs)=K-1)
(Guard:Mark(Xs)<K-1)
(Guard:Mark(Xs)=K)
A token represents a subnet crossing event by the MN
Stochastic Petri Net-Places
Moves
tmp
Xs
Move NewDMAP
MN2DMAP
K
KA
B
Pi=1
Pj=1
(Guard:Mark(Xs)=K-1)
(Guard:Mark(Xs)<K-1)
(Guard:Mark(Xs)=K)
Mark(Moves)=1 means that the MN just moves aross a subnet
A temporary place holds tokens from
transition A
Mark(Xs) holds the number of
subnets crossed in a service area
Stochastic Petri Net-Transitions
Moves
tmp
Xs
Move NewDMAP
MN2DMAP
K
KA
B
Pi=1
Pj=1
(Guard:Mark(Xs)=K-1)
(Guard:Mark(Xs)<K-1)
(Guard:Mark(Xs)=K)
A timed transition for the
MN to move across subnet
areas
A timed transition for the MN to inform the DMAP of
the CoA change
A timed transition for the
MN to inform the HA and CNs
of the RCoA change
A guard for transition B that is enabled if a move will cross a service area
A guard for transition A that is enabled if a move will not cross a service area
Transition Rate
MN2DMAP
)1)Xs(Mark(
1
F
Wireless one-hop communication
delay per packet
The number of hops between the current
subnet and the DMAP seperated by Mark(Xs)
+1 subnets
Transition Rate
NewDMAP The communication cost includes that for the MN to
inform the HA and CNs of the new RCoA change
N1
The average distance in
hops between the MN and the HA via
wired network
The average distance in
hops between the MN and N CNs via wired
network
Cost of Service Management
Pi: The steady-state probability that the system is found to contain i tokens in place Xs such that Mark(Xs)=i
Ci,service: The communication overhead for the network to service a data packet when MN is in the i-th subnet in the service area
))(()(00
service,service iFPCP
K
ii
K
iiiC
A delay between the DMAP and a CN in the fixed
network
A delay from DMAP to the AR of the MN’s current
subnet in the fixed network
A delay in the wireless link
form the AR to the MN
Cost of Location Management
Ci,location: The network signaling overhead to service a location handoff operation given the MN is in the i-th subnet in the service area If i < K
Only a minimum signaling cost will incurred for the MN to inform the DMAP of the CoA address change
If i = K The location handoff also triggers a service handoff A service handoff will incur higher communication
signaling cost to inform the HA and N CNs of the RCoA address change
Cost of Location Management
)})(({)(
)(
1
0
0l,location
iFPNP
CP
K
iiK
K
iocationiiC
A location handoff and a service handoff
A minimum signaling cost for the MN to inform the
DMAP of the CoA address change
Cost of DMAP
Summarizing above, the total communication cost per time unit for the Mobile IP network operating under our DMAP scheme to service operations associated with mobility and service management of the MN is calculated as:
CCC locationserviceDMAP
Service management
cost
Mobility management
cost
Numerical Results
We calculate CDMAP as a function of K and determine the optimal K K represents the optimal “service area” size The size will minimize the network cost given
A set of parameter values charactering the MN’s mobility and service behaviors
We present results to show that There exists an optimal service area under DMAP Demonstrate the benefit of DMAP over basic
MIPv6 and HMIPv6
Numerical Results
MIPv6
MIPv6serviceC NC MIPv6
location
MIPv6location
MIPv6serviceMIPv6 CCC
A delay in the wireless link from the AR to the MN
A communication delay from the
CN to the AR of the current
subnet
A delay in the wireless link from
the MN to the AR of the subnet that it just enters into
A delay from
that AR to the
HA
A delay from that AR to the
CNs
Numerical Results
HMIPv6 The placement of MAPs is predetermined Each MAP covers a fixed number of subnets
KH = 4
A MN crosses a subnet within a MAP It only informs the MAP of its CoA
A MN crosses a MAP Changes the MAP Obtain a new RCoA Informs the HA and CNs of the new RCoA
Numerical Results
Comparing DMAP with basic MIPv6 and HMIPv6 head-to-head from the perspective of Kopt
Numerical Results
Cost difference between basic MIPv6, HMIPv6, and DMAP
Numerical Results
Effect of α and β on CHMIPv6 − CDMAP
Numerical Results
Effect of F(k) on CHMIPv6 − CDMAP
Applicability and Conclusion
We proposed a novel DMAP scheme for integrated mobility and service management
To apply the analysis results in the paper, one can execute the computational procedure at static time to determine optimal Kopt over a possible range of parameter values
In the future, we plan to consider the implementation issue by building a testbed system to validate the analytical results as well as testing the sensitivity of the results with respect to other time distributions other than the exponential distribution used in the analysis
Q & A