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Today, The cloud industry is adopting the container technology both for internal usage and as commercial offering. The use of containers as base technology for large-scale systems opens many challenges in the area of resource management at run-time. This paper addresses the problem of selecting the more appropriate performance metrics to activate auto-scaling actions. Specifically, we investigate...
In this paper, we present a new, dynamic graph data structure, built to deliver high update rates while keeping a low memory footprint using autonomous memory management directly on the GPU. By transferring the memory management to the GPU, efficient updating of the graph structure and fast initialization times are enabled as no additional memory allocation calls or reallocation procedures are necessary...
Organizations need process data in real time. Cloud Computing is a common choice but it presents high latency on data transfer. As an alternative to reduces the latency, Edge computing based on System-on-a-Chip systems (SoC-based systems) can retain part of the data processing, allowing resource sharing among multiple requests through the use of OS-level virtualization. In this work, we analyze the...
Edge cloud computing is a trending paradigm, which extends cloud computing by additionally utilizing computing resources at the network edge, e.g., at mobile base stations. Especially personalized services can be instantiated or migrated close to end users, which improves the latency and supports user mobility. However, the placement of the service chains is crucial for the performance of the services...
This paper evaluates the performance of the first-last-exact fit spectrum allocation policy for elastic optical networks. The first-last-exact fit spectrum allocation policy is intended to increase the number of aligned available slots and avoid small contiguous available slots, and hence suppresses the blocking probability. This policy separates the allocation of disjoint and non-disjoint connections...
In this paper, we investigate rate adaptive radio resource allocation in visible light communication systems (VLC), to maximize the total output data rate. The proposed allocation algorithm assigns power and subcarriers to each user based on its downlink channel gain and rate constraint, while satisfying the total power constraint. The performance of the proposed algorithm on multi cell VLC systems...
We present recent work in the design and operation of wireless sensor-actuation systems along three aspects. At the device level, a major drive is the reduced power consumption of the wireless transceivers without loss of control performance. At the channel access level, a shared wireless channel needs to be administered between multiple systems with control performance guarantees for all systems...
This paper presents a mobility-aware channel allocation strategy for clustered ad hoc network. Our main novelty is to consider the mobility associated with the number of times that the channel with larger spectral distance is allocated to guide the channel allocation process, while quickly responding to changes in the network topology. In our performance evaluation, we use a realistic mobility model...
Device-to-Device (D2D) communication is a promising concept used to improve user experience and enhance resource utilization in cellular networks, enabling two close-by D2D devices to establish a direct local link and bypass a base station. The proximity of two D2D devices allows for high data rate, low latency, and low energy consumption. D2D communication for proximity-based services (ProSe) is...
Internet of Things (IoT) is combination of things and Internet. Things in IoT communicate via Internet. IoT has several heterogeneous devices and results to many issues. In this work we have proposed agent based job classification and resource allocation in IoT. In the proposed methodology agent uses the Fuzzy Interference System. Agents are defined in two hierarchicy namely at Local Processor Agency...
The proliferation of mobile device platforms and operating systems has resulted in an increased challenge for developers and mobile users alike. While developers face fragmentation issues in their efforts, mobile users find an increasing number of online services to access in a variety of ways. The increased adoption of HTML5-based service access methods, however, allows to circumvent some of these...
Supporting random access of a large number of devices in a short time period is an enormous challenge in machine-to-machine (M2M) communications. In this paper, we propose a dynamic allocation scheme of random access channel (RACH) resource for clustered machine-to-machine (M2M) communications, in which delay-sensitive devices coexist with delay-tolerant ones. Since delay-sensitive devices share random...
Massively Multiplayer Online Games (MMOG) keep attracting hundreds of thousands of players from all over the world. Ensuring a scalable and latency-sensitive MMOG service is a challenge task since it is subject of high workload variability. Traditionally, MMOG providers used to over provision resources in order to cope with worst workload scenario. Nowadays, MMOG infrastructures have switched to Cloud...
Machine-to-machine (M2M) communication is a crucial service for the next generation of cellular networks. Massive access request from machine devices can impose overloading problem for radio access networks (RANs) and degrade the service quality of M2M communication. In an earlier work we had investigated the performance of two possible RAN overload control methods on collision probability reduction...
This paper presents an approach for generating fault tolerant task mappings of applications, represented as an application process graph (APG), to a many-core array. The approach uses a multi-objective evolutionary algorithm (EA) to evolve a range of viable task mappings through the optimization of fault tolerant properties and performance criteria. Fault tolerant properties are chosen to promote...
Cloud computing technology is rapidly emerging as quite an efficient execution platform for even highly trusted scientific applications. Efficient resource management plays a pivotal role in the execution along with attaining high performance standards in Distributed environments. Resource provisioning and scheduling has become an important area of research in cloud resource management. Clouds can...
Fairness and efficiency are two important concerns for users in a shared computer system, and there tends to be a tradeoff between them. Heterogeneous computing poses new challenging issues on the fair allocation of computational resources among users due to the availability of different kinds of computing devices (e.g., CPU and GPU). Prior work either considers the fair resource allocation separately...
The performance of a ROS application is a function of the individual performance of its constituent nodes. Since ROS nodes are typically configurable (parameterised), the specific parameter values adopted will determine the level of performance generated. In addition, ROS applications may be distributed across multiple computation devices, thus providing different options for node allocation. We address...
Our investigation aims to answer which scenarios LXC, a lightweight virtualization solution, can offer a better performance than KVM, a hypervisor-based virtualization, or even equal to native environments. For that, we are considering HPC I/O bound applications and the effects of resource sharing on the performance of virtualized environments with both tools. We conducted experiments with traditional...
A new recursive shared segmented split multiply-accumulate (MAC) unit have been proposed which can be deployed in high speed DSP applications like Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT), Wavelet Transform (WT) and digital filtering. This paper presents two design aspects, the former presents the design of new parallel prefix adder which is responsible in the generation of partial...
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