Trading memory for disk bandwidth in video-on-demand servers
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems
IEEE Transactions on Computers
Dynamic buffer allocation in video-on-demand systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Multicast Video-on-Demand services
ACM SIGCOMM Computer Communication Review
Resource Scheduling In A High-Performance Multimedia Server
IEEE Transactions on Knowledge and Data Engineering
Minimizing Bandwidth Requirements for On-Demand Data Delivery
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
A Dynamic Distributed Video on Demand Service
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Caching and Scheduling in NAD-Based Multimedia Servers
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
VSched: Mixing Batch And Interactive Virtual Machines Using Periodic Real-time Scheduling
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Analysis of Resource Sharing and Cache Management in Scalable Video-on-Demand
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
Understanding user behavior in large-scale video-on-demand systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Adaptive control of virtualized resources in utility computing environments
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
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Trend towards providing heterogeneous services concurrently by ISPs and low utilization of servers make it necessary to consolidate various services computing into a single platform. In such a shared environment, meeting application-level QoS goals and avoiding interaction among services become challenges as each application consumes different amount of resource and requires different QoS. Video-on-demand (VoD) has been identified as an important application among multimedia services. In this paper, we study a case of interaction among services concurrently running on a virtualized computing environment. The contributions of this paper are follows. 1) We design a novel capability service computing framework for service computing consolidation (CSCF) to study the interaction among concurrent services in a VM-Based Virtualized Computing Environment; 2) A dynamic and lazy memory flowing algorithm (DLMFaVM) among VMs is proposed to partially fulfill this computing model by resource flowing; 3) We also develop a virtualized computing platform to study the possibility of service computing consolidation; 4) We analyze the interaction among VoD service and other typical enterprise services in our capability service computing environment and draw a conclusion that the VoD streaming service co-existing with other services on a VM-based virtualized computing platform is a trend for ISPs. But it presents some challenges for the designers of service soft and the designers of service computing platform.