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The growing demand for flexibility and cost reduction in the telecommunication landscape directs the focus of service development heavily to programmability and softwarization. In the domain of Network Function Virtualization (NFV), one of the goals is to replace dedicated hardware devices (such as switches, routers, firewalls) with software-based network functionalities, showing comparable performance...
Network Function Virtualization (NFV) is a novel paradigm that enables flexible and scalable implementation of network services on cloud infrastructure. An important enabler for the NFV paradigm is software switching, which should satisfy rigid network requirements such as high throughput and low latency. Despite recent research activities in the field of NFV, not much attention was given to understand...
Time-varying loads introduce errors in the estimated model parameters of service-level predictors in computer networks. A load-adjusted modification of a traditional unadjusted service-level predictor is contributed, based on source separation. It mitigates these errors and improves the service-quality predictions for video-on-demand by $\approx 0.6$ –2 dB.
According to the statistics, there is low resource utilization and high energy consumption in traditional servers. To reduce the cost, more and more companies begin to build virtual servers. Sever virtualization implements the mapping from virtual resources to physical resources and deal with resource contention among all VMs. Because of complexity of virtualized server systems, it is necessary to...
A polynomial fitting model for predicting the RTP packet rate of Video-on-Demand received by a client is presented. This approach is underpinned by a parametric statistical model for the client-server system. This model, namely the PQ-model, improves the robustness of the predictor in the presence of a time-varying load on the server. The advantage of our approach is that if we model the load on the...
Predicting performance metrics for cloud services is critical for real-time service assurance. We demonstrate a platform for estimating real-time service-level metrics. Statistical learning methods on device statistics are used to predict metrics for services running on these devices.
Energy consumption and total cost of ownership are daunting challenges for Datacenters, because they scale disproportionately with performance. Datacenters running financial analytics may incur extremely high operational costs in order to meet performance and latency requirements of their hosted applications. Recently, ARM-based microservers have emerged as a viable alternative to high-end servers,...
The Domain Name System belongs to the core services of the Internet infrastructure. Hence, DNS availability and performance is essential for the operation of the Internet and replication and load balancing is used for the root and top level name servers. This paper proposes an architecture for credit based server load balancing (SLB) for DNS. Compared to traditional load balancing algorithms like...
The recent emergence of clouds with large, virtualized pools of compute and storage resources raises the possibility of a new compute paradigm for scientific research. With virtualization technologies, consolidation of scientific workflows presents a promising opportunity for energy and resource cost optimization, while achieving high performance. We have developed pSciMapper, a power-aware consolidation...
This paper describes the development and use of an interactive graphical user interface (GUI) for a synthetic trace generator named WGCap (Workload Generator for Capacity Advisor). The WGCap GUI generates traces to be imported into the Capacity Advisor, a capacity planning tool inside the HP Virtual Server Environment - VSE, for simulating the consumption of resources like CPU demand, memory size,...
Multi-core processor architectures can have significant performance advantage over traditional single core designs, which are limited by power and processor complexity. Predictions based on Moore's Law state that a processor chip may accommodate thousands of cores in 5-10 years. Can software scale with the number of cores and achieve the performance potential? This paper uses two OLTP (online transaction...
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