Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Nowadays, high-bandwidth networks are easily accessible in data centers. However, existing distributed graph-processing frameworks fail to efficiently utilize the additional bandwidth capacity in these networks for higher performance, due to their inefficient computation and communication models, leading to very long waiting times experienced by users for the graph-computing results. The root cause...
The Fast ReRoute flow-based model has been improved, where the node and link protection schemes in the linear form were formulated with the implementation of single path and multipath routing strategies. The use of linear-quadratic optimality criterion was substantiated, and the system hierarchy relations of weight coefficients in the objective function were determined with the aim to ensure maximum...
In recent years, software-defined networking (SDN) has been adopted in practice, such as the fast-growing market of software-defined wide area networks (SD-WAN). Intent, an emerging concept for SDN, aims to provide a simple interface for operators to manage the network. Under the framework of intent, an application submits a request by specifying the objective only, and the SDN controller decides...
Network Function Virtualization (NFV) is an emergent paradigm that is currently transforming the way network services are provisioned and managed. The main idea of NFV is to decouple network functions from the hardware running them. This allows to reduce deployment costs and further improve the flexibility and the scalability of network services. Despite these benefits, a major challenge cloud providers...
A 19.2 Gb/s per lane link with IBM's latest POWER8 processor module has been analyzed. This paper presents the overview of the high-speed link design from the signal integrity point of view. Design approaches in package and printed circuit board (PCB) to support the target data-rate have been discussed. The end-to-end communication bus is modeled from extracted post-route design with a 3-D full-wave...
Internet of Things (IoT) has accelerated the deployment of millions of sensors at the edge of the network, through Smart City infrastructure and lifestyle devices. Cloud computing platforms are often tasked with handling these large volumes and fast streams of data from the edge. Recently, Fog computing has emerged as a concept for low-latency and resource-rich processing of these observation streams,...
Among the several threats to cyber services Distributed denial-of-service (DDoS) attack is most prevailing nowadays. DDoS involves making an online service unavailable by flooding the bandwidth or resources of a targeted system. It is easier for an insider having legitimate access to the system to circumvent any security controls thus resulting in insider attack. To mitigate insider assisted DDoS...
We give efficient algorithms to solve fundamental data movement problems on mesh-connected computers augmented with limited global bandwidth. Adding a small amount of global bandwidth makes a practical design that combines aspects of mesh and fully connected models to achieve the benefits of each. We give algorithms for sorting, finding the median, finding a spanning tree, and determining various...
Simulation is a fast, controlled, and reproducible way to evaluate new algorithms for distributed computing platforms in a variety of conditions. However, the realism of simulations is rarely assessed, which critically questions the applicability of a whole range of findings. In this paper, we present our efforts to build platform models from application traces, to allow for the accurate simulation...
Among the low-diameter, high-radix networks beingdeployed in next-generation HPC systems, dual-rail fat-treenetworks are a promising approach. Adding additional injectionconnections (rails) to one or more network planes allows multirailfat-tree networks to alleviate communication bottlenecks. These multi-rail networks necessitate new design considerations, such as routing choices, job placements,...
Deep Learning (DL) algorithms have become ubiquitous in data analytics. As a result, major computing vendors — including NVIDIA, Intel, AMD and IBM — have architectural road-maps influenced by DL workloads. Furthermore, several vendors have recently advertised new computing products as accelerating DL workloads. Unfortunately, it is difficult for data scientists to quantify the potential of these...
This work addresses a problem of multi-objective design optimization of a computationally expensive compact branch-line coupler. Circuit miniaturization is achieved here primarily by using intricate slow-wave structures instead of conventional transmission lines. The presented approach exploits a point-by-point Pareto set exploration with consecutive trade-off designs found by applying adjusted design...
The massive parallelism and high memory bandwidth of GPU's are particularly well matched with the exigencies of Big Data analytics applications, for which many independent computations and high data throughput are prevalent. These applications often produce (intermediary or final) results in the form of key-value (KV) pairs, and hash tables are particularly well-suited for storing these KV pairs in...
Increasingly complex memory systems and onchip interconnects are developed to mitigate the data movement bottlenecks in manycore processors. One example of such a complex system is the Xeon Phi KNL CPU with three different types of memory, fifteen memory configuration options, and a complex on-chip mesh network connecting up to 72 cores. Users require a detailed understanding of the performance characteristics...
It has been shown that a newly proposed micro-modeling method for deriving a concise passive circuit of a large-scale EM problem is highly suitable for GPU parallel computation. However, due to the memory bandwidth limit of GPU, the utilization of GPU is far from its peak performance because more than 97% processing time is occupied by the frequent data transactions. This paper proposes an effective...
We propose a decentralized algorithm to help reduce demand-supply imbalance in a power grid by varying the demand from loads, just like charging and discharging a battery. The algorithm ensures strict bounds on the consumers' quality of service (QoS) by constraining the bandwidth of demand variation. A model-predictive-control formulation is adopted to compute local decisions at the loads. The algorithm...
Fog computing is a model in which data and processing are concentrated on devices at the edge of the network, rather than almost entirely in the cloud. This new paradigm tries to solve the latency and bandwidth issues that the current cloud systems have to deal with, and also addresses the scalability problems caused by the exponential growth of the number of smart devices due to the success of the...
The growth of Mobile cloud computing (MCC) is challenged by the need to adapt to the resources and environment available for mobile clients while working with the dynamic changes of network bandwidth. In this paper, we propose a model of computation partitioning for stateful data in the dynamic environment that will improve performance. First, we constructed a model of stateful data streaming and...
Self-adaptive applications are engineered to adapt to operation conditions to continuously meet application requirements at run-time. Before the emergence of Software Defined Networking (SDN) and new network virtualization technologies, the common run-time adaptation actions were limited to changes in computing and storage resources (i.e., scaling in/out). However, SDN creates new avenues for adaptation...
Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies enable a fast way of deploying network services by instant initialization of virtual network functions on standardized commodity hardware, and a flexible network control and management via dynamic reconfigurations over open protocols. In particular, virtual networks from distinct tenants can be provisioned on...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.