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Cloud computing platforms provide easy and transparent access to a company's storage infrastructure through services. Commonly known as Storage as a Service (STaaS), it allows users to store their data at remote disks and access them anytime from any place. On the other hand, with the deployment of Electronic Document Management (EDM) to manage the insertion, sharing, and retrieval of information...
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 low performance and power limitations of mobile devices severely limit the complexity and the duration of playing sessions of mobile games. This article examines the possibility of using computation-offloading to mitigate these problems while keeping the game playable. We design Mirror, a framework for offloading computation targeted at the demanding performance requirements of sophisticated mobile...
The performance of GPUs on mobile devices is generally the bottleneck of multimedia mobile applications (e.g., 3D games and virtual reality). Previous attempts to tackle the issue mainly migrate GPU computation to servers residing in remote cloud centers. However, the costly network delay is especially undesirable for highly-interactive multimedia applications since a fast response time is critical...
In multi-tier cloud service systems, performance evaluation relies on numerous experiments in order to collect key metrics such as resources usage. The approach may result in highly time-consuming in practice. In this paper, we propose an automated framework for performance tracking, data management and analysis to minimize human intervention in multi-tier cloud service systems. The framework support...
Most large popular web applications, like Facebook and Twitter, have been relying on large amounts of in-memory storage to cache data and offer a low response time. As the main memory capacity of clusters and clouds increases, it becomes possible to keep most of the data in the main memory. This motivates the introduction of in-memory storage systems. While prior work has focused on how to exploit...
In mobile edge computing, a mobile or IoT device requests a nearby device to execute some functionality and return back the results. However, the executable code must either be pre-installed on the nearby device or be transferred from the requester device, reducing the utility or safety of device-to-device computing, respectively. To address this problem, we present a micro-service middleware that...
This paper considers the efficacy of using active network technology to offload computation from small mobile devices into network node computing centers. The performance of six algorithms for use in this process is compared and conclusions are drawn.
We propose a novel IoT directory service for storing, updating, and providing records of mobile IoT devices or objects. The IoT directory service is designed to manage a massive number of records (about one billion) and support fast lookup (latency of less than 10ms). It performs proactive caching of the records in various replicas (following the movement of mobile IoT devices or application clients)...
PerfMon is a prototype implementation of a real-time performance management method for sensor data communication in assisted living applications. It is implemented in accordance with the specification for GATT services in Bluetooth low energy (BLE). PerfMon provides a tool for real-time performance monitoring and control for caregivers and service providers. Test results from monitoring and control...
In recent years, wireless sensor networks have been applied in many application areas. For some fields that have special timing requirement, only wireless sensor networks can not satisfy the needs of high speed communication. We propose a hybrid wired-cum-wireless sensor network by introducing the Contention-Collision Cancellation (C-CC) access control mode, which is an important access control mode...
An integral part of any social or medical research is the availability of reliable data. For the integrity of participants'responses, a secure environment for collecting sensitive data is required. This paper introduces a novel privacy-preserving data collection method: collusion resistant multi-matrix masking (CRM3). The CRM3 method requires multiple masking service providers (MSP), each generating...
Context. Mobile web apps represent a large share of the Internet today. However, they still lag behind native apps in terms of user experience. Progressive Web Apps (PWAs) are a new technology introduced by Google that aims at bridging this gap, with a set of APIs known as service workers at its core. Goal. In this paper, we present an empirical study that evaluates the impact of service workers on...
The need to apply complex algorithms on large volumes of data is boosting the development of technological solutions able to satisfy big data analytics needs in Cloud and HPC environments. In this context Ophidia represents a big data analytics framework for eScience offering a cross-domain solution for managing scientific, multi-dimensional data. It also exploits an in-memory-based distributed data...
In-memory storage systems emerged as a de-facto building block for today's large scale Web architectures and Big Data processing frameworks. Many research and engineering efforts have been dedicated to improve their performance and memory efficiency. More recently, such systems can leverage high-performance networks, e.g., Infiniband. To be able to leverage these systems, it is essential to understand...
Many different technologies fostering and supporting distributed and decentralized computing scenarios emerged recently. Edge computing provides the necessary on-demand computing power for Internet-of-Things (IoT) devices where it is needed. Computing power is moved closer to the consumer, with the effect of reducing latency and increasing fail-safety due to absent centralized structures. This is...
Analyses the efficiency of a WEB-Interfaced cloud computing module by using queuing theory, a microstate diagram for queuing system E2/M/M/n is shown and a program is developed to calculate the expected waiting time for services accounting cooling as part of the process.
We consider the implementation of an in-situ machine learning system with the computing model promoted by Qarnot computing. Qarnot introduced an utility computing model in which servers are distributed in homes and offices where they serve as heaters. The Qarnot servers also embed several sensors for temperature, humidity, CO 2 etc. Qarnot offers an adequate platform to develop in-situ workflows for...
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...
Software development for embedded systems is challenging due to hardware resource limitations and complexities in testing and verification. Although there are numerous approaches and tools, the integration and deployment of these tools for a particular software development project requires effort. The contribution of this work is a platform for continuous integration that adapts common open source...
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