Context Awareness in Network Resource
Management
Χρήστος Αναγνωστόπουλος
Communications Network LaboratoryPervasive Computing Research GroupDepartment Informatics and TelecommunicationsUniversity of Athens - Greece
Θέματα:
Έννοια της Πληροφορίας Πλαισίου (Context)
Πόροι Δικτύου (Network Resources)
Διαχείριση Πόρων Δικτύου βασισμένη στην Πληροφορία Πλαισίου (Context-Aware Resource Management)
Θέμα Πρώτο
Context…
Πληροφορία Πλαισίου - Context
Context: “Τhe information that can be used to characterize the situation of an entity, where an entity can be a person, place, physical or computational objects” [Rakotonirainy 2000]
Οτιδήποτε κρίνεται σημαντικό για να περιγράψει κάτι, την κατάστασή του, και τον τρόπο συμπεριφοράς του.
Πληροφορία Πλαισίου - Context
Κατηγοριοποίηση Primary/Physical Context: Location, Identity, Time, Activity
{where, when, what occurs} User Context: User requirements, profile, charging and
security policies, Position, QoS {who} Device Context: H/S Characteristics, Location, Connectivity,
OS/Application running, Manufacturer, Network Operator, Security policy, Owner {what can be used}
Application Context: Data format, Display, Voice, Connectivity, State {what can be obtained}
Network Context: Bandwidth, Storage, Protocols, Caches, Signaling
context information is not complete
Πληροφορία Πλαισίου - Context
Relation between contexts: The location of a device, which belongs to a user, may
be his/her location A user’s activity depends on his/her location
My PDA is located in Room 1, your laptop is located in Room 2, and Rooms 1 and 2 are rooms of the 1st floor, then, my PDA is next to your laptop
In Room 22, the number of people is greater than 5 and a .ppt application is running and Chris’ location is this room, then, the activity in Room 22 is presentation and speech notes are downloaded to the PDA of each user located in this room, during that presentation.
Social
Application Use
r
Activity
Device
Physical
Physical
Θέμα Δεύτερο
Network Resources…as Network Context…
Network Resources Basic Resources (physical entities/measurable
quantities): Bandwidth: The transferred capacity between
nodes of the network. Also, Timeslots and Frequencies
Power: Overall Signal to Noise ratio (SNR) Storage:The computing power of the network
element Implicit Resources
Cache: Replicating part of the information residing to a remote server in the local system or in systems geographically dispersed inside the network
Protocol: Efficient protocol implementation/configuration (e.g., TCP window size) (IP vs. mobile IP)
Signaling: Specific protocols for: connecting wirelessly, handing over,…[Signaling messages consume part of useful bandwidth]
RUserperspective
Operatorperspective
Periods of Interruptions
Dropping Probability
Blocking Probability
High Utilization
Capacity=#users served simultaneously
Stable QoS {Allocated bandwidth, BER, Delay}
High Autonomy
Health Safety
Load Balancing
power
processing
signaling
cach
e
protocol stor
age
Network Resources
Θέμα Τρίτο
Context…Awareness
Setting up the SceneResource Management Improvement of network performanceResources are specific and can be reused
Mobility No fixed point of connection Dynamical resource allocation within mobile networks
Task: Find specific characteristic that may assist us in the networkresource management
Location
Velocity
DirectionPattern…
Location Estimation
Tracking and Positioning Cell Of Origin (COO): The differentiation of
each cell Time Of Arrival (TOA): The time window
between sending and receiving signal Angle Of Arrival (AOA): Measures the angle
of the received signal, at least two directional antennas
Signal Strength Measurement (SSM): By the signal attenuation equation
Categorization of Positioning Systems
Positioning Systems
Indoor Outdoor
Separate Positioning
Infrastructure
Wi-Fi-enabled Satellite-based Terrestrial-based
GPSEGNOSGLONASSGALILEO
GSMWLAN(Nibble,Ekahau)
Positioning Systems
Symbolic Location Physical Location
Tree-based Spatial Ontologies Relative Absolute
Infrastructure
Information
accuracy
COO TOA AOA GPS
Location Prediction
Knowledge of the future location enables the network to avert undesirable situations (e.g., dropping a call/unavailability of resources)Required knowledge:
Velocity and Direction History of Movements/Handover behavior Time in the cell of residence Handoff estimation / predictive-adaptive bandwidth
reservation e.g., 1. Bhattacharya and Das (1999) Theory of Entropy (LeZi)2. Maguire and Liu (1996) Regularity-pattern detection (Kalman
Filters)3. Hadjiefthymiades and Merakos (1999) Learning Automaton
(Reward/Penalty)
?
Location-Aware Resource Management
Exploitation of the terminal instantaneous position information toward the management of network resources (Synchronous Management)Continuous recording of terminal position + historical movements patterns + velocity/acceleration/direction implies proactive management of network resources (Asynchronous Management)
time
synchronous
SnapshotSort Term Management
time
asynchronous
SnapshotLong Term Management
recording
proactive
Short Term Resource Management (SRM)
Admission Control: Context = {Users position, Idle/Active sessions, Roaming
in the current cell} Event = {User on the boundary of two or more cells} Action= {Refuse the call initiation. This can be handled by
an adjacent base station}
Short Term Resource Management (SRM)
Network Reconfiguration: Context = {Users position, Idle/Active sessions, Roaming in a
cluster of cells} Enhanced Context = {Calculation of the load in each cell, e.g.,
session initiation/termination probabilities} Event = {Some cells are congested} Action= {Re-organization/reconfiguration of resources.
(i) Frequencies are temporarily borrowed by adjacent cells to cater for increased load
(ii) Inside a cell with low user density, common channels (e.g., RACH-GSM), is reconfigured to use less timeslots per time unit
(iii) Rearrangement of user population in order to optimally distribute the load and maximize utilization
The user is provided with specific proposals on how to reach other cells where traffic load is less and better QoS can be attained
}
Case Study: MITOS (Alyfantis, Hadjiefthymiades, Merakos 2005)
Short Term Resource Management (SRM)
Handover: Context = {Users position, Idle/Active sessions, Roaming
in the current cells} Event = {User on the boundary of the cell, The load in the
adjacent cell is lighter} Action= {
(i)The terminal is instructed to switch communication i.e., perform a forced handover to the indicated base station.
(ii) Forced handover could be the support of specific QoS requirements of the user (user profile, policy,terminal capability).No physical relocation is required
}
Long Term Resource Management (LRM)
Fine-grained pre-reservation of resources: Goal={Overcoming HO-induced problems. The user does not
experience service discontinuations or low service quality. Reduction of HO blocking probability}
Context = {User in the current cell} Action= {Find the most likely neighbor cell(s) of the current cell
and reserve resources in those cells} Result={
(i) Too early reservation leads to undesired waste of resources and low network utilization.
(ii) Delayed pre-reservation may en-up with few resources than required, forcing the termination of sessions and low experienced QoS
}
More advancedWireless Resource Management
No advance reservation in candidate cells
[No HO provision]
Less advanced
Advance reservation in
all cells[Crude HO provision]
Advance reservation in
most likely cells[Direction Sensitive
HO provision]
Long Term Resource Management (LRM)
Protocol Management: Context = {Different networks (GSM/WLAN), where the user
can have access, User position, Spatial information about the network resources, like protocol stack/components/modules (4G infrastructures), Dual protocol stacks is not feasible}
Event = {Switch from one network to other (TCP variant GSM to plain-vanilla TCP/WLAN)}
Action= { (i) Advance protocol reconfiguration (downloading) to cater for
another network, Push components, which will be requested by the terminal, to its nearest nodes/access points/base stations
(ii) Tune protocol parameters w.r.t. current location and network status
}
Case Study: Museum Wearable(Sparacino 2002)
Location User profile {Charging options, Preferences, Personalized
services}
Device profile {Capabilities}
Service profile {LBS, software}
…
From Mobile Computing toContext-Aware Computing toUbiquitous and Pervasive Computing
http://p-comp.di.uoa.gr
More context…
Top Related