IMS Cloud Computing Architecture for
High-Quality Multimedia Applications
Authors:
Jiann-Liang Chenz, Szu-Lin Wuy,
Yang-Fang Li, Pei-Jia Yang,
Yanuarius Teofilus Larosa
Speaker :吳靖緯 MA0G0101
2011 7th International Wireless Communications and
Mobile Computing Conference (IWCMC),
On page(s): 1463 - 1468, July. 2011
2012.03.02
Outline
• Introduction
• Background Knowledge
• Proposed IMS cloud QOS mechanism
• System design and performance analysis
• Conclusion
2
Introduction
• The IP Multimedia Subsystem (IMS) supports heterogeneous
networking and provides Quality of Service (QoS) policy.
• For mobile computing, an open platform is required to access
multimedia services.
• All of the above issues must be addressed when developing
next-generation wireless communications technologies and
applications.
3
Introduction
• Figure 1 illustrates a
heterogeneous network.
IMS
cloud
architecture
in
a
4
Introduction
• The IMS architecture which is based on the 3GPP (3rd
Generation Partnership Project) system, defined QoS policy
module, which consists of Policy and Charging Rules Function
(PCRF), Policy and Charging Enforcement Function (PCEF).
• The cloud computing architecture is divided into three layers,
Software as a Service (SaaS), Platform as a Service (PaaS),
and Infrastructure as a Service (IaaS).
5
Background Knowledge
Heterogeneous Networks
• The heterogeneous network is a next-generation
communication network that provides wireless links via 3G,
WLAN or WiMAX in overlapping networks.
• A 3G supports multimedia communication and is expected to
evolve into All-IP technologies.
• The WiMAX wireless broadband technology provides longdistance last-mile access to high bandwidth.
6
Background Knowledge
• The IEEE 802.11x protocols for wireless local area network
(WLAN) use the same basic protocol for over-the-air
modulation techniques.
• In heterogeneous networks, 3G can support a high-mobility
environment.
• The WiMAX supports mobile terminals moving at speeds up
to 120Km/h.
7
Background Knowledge
Cloud Computing
• The cloud computing architecture is divided into three layers.
• The bottom layer is Infrastructure as a Service (IaaS), which
has a service-oriented architecture.
• The middle layer is Platform as a Service (PaaS), a service
platform that developer can use to deploy their own
applications.
8
Background Knowledge
• The top layer of the Software as a Service (SaaS) provides
services so that each user can access services according to their
requirements.
• Hadoop is a software platform for a java-based development
environment that has high scalability, high efficiency, and high
reliability.
• The two components of Hadoop are Hadoop Distributed File
System (HDFS) and MapReduce.
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Background Knowledge
IP Multimedia Subsystem (IMS)
• The purpose of IMS is to provide services in a 3G network
infrastructure and to enable QoS exchange in different
networks.
• The 3GPP-defined IMS core component is Call Session
Control Function (CSCF).
• The components are divided into P-CSCF (Proxy-CSCF), ICSCF (Interrogating-CSCF) and SCSCF modules (ServingCSCF).
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Background Knowledge
• The P-CSCF is the first contact point in IMS.
• The P-CSCF is responsible for authentication requests, which
is forwarded to the specific target.
• The ICSCF is the contact point between network operators and
UEs (User Equipment).
• The S-CSCF is the core component of IMS, which is located in
attributed network for UE session control and registration
services.
11
Proposed IMS cloud QOS mechanism
• Figure 2 illustrates the proposed IMS Cloud QoS system
architecture.
12
Proposed IMS cloud QOS mechanism
• The lower layer model, IaaS is the development platform used
for building the IMS system.
• The PaaS provides a platform for system administrators to
develop the Hadoop framework needed for distributed file
system and MapReduce technology.
• The upper layer model is SaaS, which enables users to obtain
information and services via cloud computing systems.
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Proposed IMS cloud QOS mechanism
• Figure 3 illustrates the proposed system module, which
includes IaaS, PaaS and SaaS.
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Proposed IMS cloud QOS mechanism
Infrastructure as a Service (IaaS)
• In IaaS, a service is accessed through different networks in an
IMS environment.
• The IMS is implemented through an open and standard
architecture to provide multimedia applications.
• The IMS framework includes the Policy and Charging Rules
Function (PCRF) and Policy and Charging EnForcement point
(PCEF) components needed for QoS policy implementation.
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Proposed IMS cloud QOS mechanism
• Figure 4 illustrates a complete IMS QoS framework
architecture, in which the policy repository by the open source
of XDMS server is used to store definitions of QoS policy files.
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Proposed IMS cloud QOS mechanism
Platform as a Service (PaaS)
• The high fault tolerance of HDFS enables it to deploy on lowcost hardware devices.
• The HDFS is suitable for massive data and provides high
throughput.
• MapReduce is a parallel programming model for data
processing and is used by Google for large-scale data
processing in distributed computing environments.
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Proposed IMS cloud QOS mechanism
Software as a Service (SaaS)
• This layer is implemented by using the Hadoop SaaS system
for extracting the user wants to access information and
applications to achieve the service function.
• For instance, users can access applications through Web
Services such as multimedia (video streaming), management
(user process management) and social network applications.
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Proposed IMS cloud QOS mechanism
• Figure 5 shows the cloud computing service architecture.
19
System design and performance analysis
• Figure 6 illustrates the test scenario, which included 3G,
WiMAX and WiFi access technologies.
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System design and performance analysis
System Implementation
1) Hadoop system design and operation:
• One mainly machine, called hdp-1, is the Master, and another
two machines, hdp-2 and hdp-3, are the Slaves.
• This study utilizes the Representational State Transfer(REST)
Web Services to get Hadoop services.
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System design and performance analysis
• The user interface is shown in Figure 7.
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System design and performance analysis
• Figure 8 shows the installed system.
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System design and performance analysis
2) IMS core design and operation:
• Figure 9 illustrates the established IMS environment.
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System design and performance analysis
• This study sets up IMS components in the master machine
(hdp-1).
• Clients then communicate by using SIP protocol to access the
IMS network.
• The system defines all domain policies rule.
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System design and performance analysis
• The four CSCFs modules are started as shown in Fig. 10.
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System design and performance
analysis
• Figure 11 shows the Policy Control Management.
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System design and performance analysis
• Figure 12 shows how an Android phone is used to access the
cloud computing portal site by QR code and how services can
be accessed through the cloud computing interface.
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System design and performance analysis
Performance Analysis
• Figure 13 compares the results with and without cloud
computing system when a client request is set to retrieve
128MB.
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System design and performance analysis
• Figure 14 shows the system throughput for VoIP, video
streaming and Web browser.
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Conclusion
• The proposed IMS Cloud QoS mechanism has the following
three layers:
Infrastructure as a Service (IaaS) layer
Platform as a Service (PaaS) layer
Software as a Service (SaaS) layer
• The IaaS layer mainly accesses heterogeneous networks such
as UMTS, WLAN and WiMAX through the IP Multimedia
Subsystem.
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Conclusion
• The PaaS layer manages the cloud computing system in the
Hadoop Distributed File System and the MapReduce
mechanism for analyzing user preferences.
• The SaaS layer allows users to access desired applications such
as the Web, social networks and management services.
• The system implementation shows that throughput capacity
with cloud computing is higher than without cloud computing
when numerous users request services.
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