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With the growing popularity of Internet of Things (IoT) services being applied in several aspects of real-life applications, performance has become an important requirement. Meanwhile, the techniques for reliability enhancement such as virtual machine migration and recovery also have significant impact on end-to-end performance. This paper proposes a predictive approach of reliability-aware performance...
This paper describes the software architecture and the implementation of a fully operational testbed that demonstrates the benefits of flexible, dynamic resource allocation with virtualized LTE-A nodes. The testbed embodies and specializes the general software architecture devised within the Flex5Gware EU project, and focuses on two intelligent programs: the first one is a Global Scheduler, that coordinates...
This paper deals with the reduction of the number of comatose servers. The characteristic of such a server is to consume electricity while not delivering useful information services. According to recent studies, up to 30% of the servers (including those in datacenters) are comatose. The existence of these servers lowers the interest in clouds for green computing. Our paper assumes a cloud provider...
In this article, we evaluate existing open source Phasor Measurement Unit (PMU) and Phasor Data Concentrator (PDC) software systems and benchmark their performance and reliability with various database systems. We also evaluate usability of the PDC systems and to list additional feature for the system. Among two open source PDC software, we found that OpenPDC out performs other PDC software in terms...
Named Data Networking (NDN) is one of the promising future internet architectures, which focuses on the data rather than its location (IP/host-based system). NDN has several characteristics which facilitate addressing and routing the data: fail-over, in-network caching and load balancing. This makes it useful in areas such as managing scientific data. The CMS experiment on the Large Hadron Collider...
This document presents a detailed description of the development and results obtained during the Proof of Concept about the Think! EHR platform, which is marketed by the Marand d.o.o (Marand) company.
Multicast can not only shorten task completion time of applications, but also effectively reduce overall bandwidth consumption in data center networks (DCNs). However, load imbalance and sudden link blocking will seriously impact the network performance owing to the fundamental characteristics of huge traffic in DCNs. To address this problem, in this paper, we propose a novel multicast scheduling...
Syslogs on switches are a rich source of information for both post-mortem diagnosis and proactive prediction of switch failures in a datacenter network. However, such information can be effectively extracted only through proper processing of syslogs, e.g., using suitable machine learning techniques. A common approach to syslog processing is to extract (i.e., build) templates from historical syslog...
The report addresses a remote molecular diagnostics system for studies of the edge plasma inT-10 tokamak at National Research Centre Kurchatov Institute. Web control of a monochromator and a CCD camera based on Internet technologies was used to monitor radiation. The structure and communications chart of the software components implemented in the system are described. A special web application has...
This paper focuses on research device management mechanisms such as routers and switches, based on the NETCONF protocol, considered user authentication mechanisms using RADIUS-server and implementation of these mechanisms in currently being developed Eltex Network OS. Reflected the main features of NETCONF protocol — Network Configuration Protocol, produced theoretical and experimental comparison...
The paper is devoted to analyzing unsafe features of an Extended Finite State Machine such as the exceeding of the value of a context variable and/or an output parameter, the reachability of critical states, etc. As the ordinary simulation of an EFSM is very complex, the well known verifier Java Path Finder is used for this purpose. The EFSM is implemented as a template Java code that is checked for...
Middleboxes are widely deployed to perform various network functions to ensure security and improve performance. The recent trend of Network Function Virtualization (NFV) makes it easy for operators to deploy software implementations of these network functions on commodity servers. However, virtual network functions consume different amounts of resources when processing packets. Thus a multi-resource...
Stateful programmable dataplanes are emerging as a disruptive technology and an enabler factor for network function virtualization in SDN environments. In this demo paper we show three real world use cases with stateful forwarding requirements to validate both the hardware and software implementations of the Open Packet Processor data plane.
Network Function Virtualization (NFV) brings agility and flexibility delivering network services with cost efficiency to network operators. As an emerging technology, it also presents several challenges, among them, ensuring high performance for virtualized network functions, based on software implementation and running on standard IT servers, instead of custom hardware appliances. In this article,...
Using genetic data to infer relatedness has been crucial for genetics studies for decades. In a previously published paper together with the KING software, we demonstrated that the kinship coefficient, a measure of relatedness between a pair of individuals, can be accurately estimated using their genome-wide SNP data, without estimating the allele frequencies at each SNP in the whole dataset. The...
Deep learning is a sub-set of machine learning practice employing models based on various learning network architectures and algorithms in the field of artificial intelligence. Businesses planning to adopt a deep learning solution should comprehend a set of complex choices in hardware, software, configuration and optimizations to setup a functional deep learning solution. This paper will describe...
In this paper we propose to consider a study aimed at improving the Honeypot system performance. There is observed architecture of the designed service of collecting and updating common database of exploits, which is necessary for this study, necessary for building and further Honeypot system maintenance. The data obtained using this service are analyzed in order to determine the free server software...
Long-tail latency of web-facing applications continues to be a serious problem. Most of the previously published research addresses two classes of long latency problems: uneven workloads such as web search, and resource saturation in single nodes. We describe an experimental study of a third class of long tail latency problemsthat are specific to distributed systems: Cross-Tier Queue Overflow (CTQO)...
This paper proposes a new software platform to control and monitor a squad of unmanned vehicles. Through the use of an open-source flight controller and an on-board Raspberry Pi it is possible to create a system that enables communication between a remote ground control stations (GCS) and a unmanned aerial vehicles (UAVs). Both are connected through the use of wireless and cellular networks like Wi-Fi,...
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