Resource- and Quality-Aware Application-Level Service Multicast
نویسندگان
چکیده
Current multimedia application deployment tends to rely on composable service systems, where a complex multimedia service can be composed dynamically from multiple simpler ones distributed widely in the Internet. Related to such a scenario is the problem of finding efficient service paths that meet end-to-end requirements. Work has been done in discovering unicast service paths. However, considering that resources are limited, for distributed multimedia applications that may have a single sender but multiple heterogeneous end-users, it is demanding to build service trees to minimize resource usages by means of sharing. We present a resourceand quality-aware application-level multicast Service Path Finding protocol (mc-SPF ) that constructs, for each application, a more economical service tree instead of independent service paths. Bandwidth and proxy machine resource savings can be achieved by applying the application-layer multicast concept to deliver data through the service tree. mc-SPF is resourceand quality-aware, in that service paths are discovered with resource availability and client’s quality demand in mind. Our simulation results show that: (1) compared to unicast service path finding solutions, mc-SPF is superior; (2) the proxy load balancing feature makes the protocol achieve better path finding success rates in the face of resource scarcity; (3) reserving different portions of resources for service requests of different qualities affects the service path finding success rate and the average quality of service.
منابع مشابه
Channel-aware adaptive resource allocation for multicast and unicast services in orthogonal frequency division multiplexing systems
To support the multicast and unicast services in the orthogonal frequency division multiplexing system simultaneously, a channel-aware adaptive resource allocation algorithm is proposed to maximise the total throughput of the unicast service while guaranteeing the required quality of service (QoS) for the multicast service. The two-step optimisation scheme is developed to solve the problem base...
متن کاملSession-Aware Popularity Resource Allocation for Assured Differentiated Services
Differentiated Service networks (DS) are fair in the way that different types of traffic can be associated to different network services, and so to different quality levels. However, fairness among flows sharing the same service may not be provided. Our goal is to study fairness between multirate multimedia sessions for an assured DS service, in a multicast network environment. To achieve this ...
متن کاملMulticast Routing in Wireless Sensor Networks: A Distributed Reinforcement Learning Approach
Wireless Sensor Networks (WSNs) are consist of independent distributed sensors with storing, processing, sensing and communication capabilities to monitor physical or environmental conditions. There are number of challenges in WSNs because of limitation of battery power, communications, computation and storage space. In the recent years, computational intelligence approaches such as evolutionar...
متن کاملEnergy Aware Resource Management of Cloud Data Centers
Cloud Computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Virtualization technology forms a key concept for new cloud computing architectures. The data centers are used to provide cloud services burdening a significant...
متن کاملSignaling Protocol for Session-Aware Popularity-Based Resource Allocation
The Differentiated Services model (DS) maps traffic into services that offer different quality levels. However, flows are treated unfairly in each service, since the DS model lacks a policy to distribute service bandwidth between flows that form the service aggregate traffic. We present a signaling protocol called Session-Aware Popularity-based Resource Allocation (SAPRA) that fairly distribute...
متن کامل