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This paper presents the optimal transmission scheme for a subscriber communicating to/through an airborne relay. This scheme provides situational awareness to each communication subscriber by considering channel variations (predicted offline and estimated in real time from relay signals), data traffic and energy consumption (subject to energy constraints for battery-operated units). The optimal decision...
Many scientific fields generate, and require manipulation of big data. Known scientific data analysis systems, as well as traditional DBMSs, follow a pull-based architectural design, where the executed queries mandate the data needed. This design, while suitable for traditional transaction-based workloads where number of queries retrieve small parts of data located at various places of the database,...
This paper proposes a dynamic channel selection method for direct spectrum division transmission systems, which are autonomous decentralized control systems like CSMA/CA systems, in order to use frequency resources efficiently. In the method each terminal monitors the usage status of the whole system bandwidth, then searches for and memorizes all combinations of currently vacant channels. When the...
A load balancing algorithm which considers the different characteristics of the grid computing environment is needed as grid computing is emerging all over the internet. Therefore, this research presents a Novel fault tolerant job Scheduling and load balancing strategy named as NovelAlg_FLB, which focuses on grid architecture, computer heterogeneity, communication delay, network bandwidth, resource...
We propose a light-weight performance analysis of Wi-Fi offload using a simple Markov model. Although the proposed model does not describe the behavior of the contention window of each station in detail, it allows us to analyze the non-saturation throughput while considering interaction among interfering stations and the queueing behavior of each station. In addition to this, the proposed model does...
In this paper, we consider the self-organizing relay assignment schemes for cooperative communications designed with both complete and incomplete network information. With complete network information, we propose an evolutionary self-organizing relay assignment (ESRA) scheme and show that the scheme achieves a globally stable state. With incomplete network information, we propose a distributed learning...
Workflows offer a great potential for enacting co-related jobs in an automated manner. This is especially desirable when workflows are large or there is a desire to run a workflow multiple times. Much research has been conducted in reducing the make span of running workflows and maximising the utilisation of the resources they run on, with some existing research investigates how to reduce the energy...
With more parallel and distributed applications moving to Cloud and data centers, it is challenging to provide predictable and controllable resources to multiple tenants, and thus guarantee application performance. In this paper, we propose an integrated QoS-aware resource provisioning platform based on virtualization technology for computing, storage and network resources. Coarse-grained CPU mapping...
This paper proposes frame length optimization for wireless local area networks (WLANs) using an in-band full-duplex system that enables a WLAN access point and stations to transmit and receive frames at the same time on the same frequency channel. In in-band full-duplex WLANs, a primary sender which captures the channel transmits a frame to the intended receiver called a secondary sender and then...
This paper proposes an analytical model for performance evaluation of Cellular-WLAN Heterogeneous Networks (HetNets) based on Continuous Time Markov Chain (CTMC) for variable-bit-rate (VBR) data services. This model considers system specific overheads and limitations such as limited number of supported modulation and coding scheme (MCS) of each network. Moreover, this model includes the traffic density...
Several techniques such as carrier aggregation (CA) and cognitive radio (CR) have been proposed to achieve high data rates to meet the demand of future wireless communication systems. Those techniques pose a strict adjacent channel interference (ACI) requirement. However, currently employed orthogonal frequency division multiplexing (OFDM) systems suffer from significant spectrum leakage and require...
Mobile Ad hoc Network (MAN ET) is a collection of wireless mobile hosts without the requirement of any existing infrastructure or centralized access point, such as base station, due to this it is a self-organized network. The black hole problem is one of the security attacks that occur in mobile ad hoc networks (MAN ETs). In Black hole attack, a malicious node falsely advertise shortest path to the...
Dynamic dataflow models of computation (MoCs) have been introduced to provide designers with enough expressive power to capture increasing levels of dynamism in modern streaming applications. Among dynamic dataflow MoCs, parametrized dataflow MoCs hold an important place as they integrate dynamic parameters and run-time adaptation of parameters in a structured way. In this work, we analyze the temporal...
Software-defined datacenters consolidate discrete hardware units into pools of abstract resource types that are dynamically allocated to the clients sharing the infrastructure. The allocation needs to be both fair to the clients and also make efficient use of the system resources. Unlike approaches that allocate individual resources independently, we propose a model for making integrated allocation...
Software-defined networking (SDN) has emerged as one of the future internet technologies. It separates the control plane and the data plane, keeping the data plane simple by assigning the complex computing to the control plane. Active queue management (AQM) has been researched to obtain lower delay and higher throughput. It is noteworthy to have these advantages in SDN. To bring AQM to SDN without...
Effective congestion control allows networks to operate in region of low delay and high throughput. These characteristics seem to be the most required from network environment properties. To achieve high transfer rates, variety of methods and algorithms are proposed in the literature. This paper focuses on congestion control using a method combining a particle swarm optimization algorithm and the...
As wireless networks shift towards denser deployments, simulations take longer time to run and consume more resources. Simulation of the physical (PHY) layer is particularly time consuming and, as such, its implementation requires the use of abstracted models with low computational complexity, in order to provide accurate results in reasonable time. Although Mutual Information Effective SINR Mapping...
New high throughput floating-point dividers implemented in FPGA based on different fast computation division algorithms are proposed. The hardware implementations uses 32- bit floating-point single precision. The implementations include both multiplicative inverse and division. The proposed hardware implementations are designed with high computation speed and throughput. They are oriented for high...
In this work, we introduce an application autotuning framework to dynamically adapt applications in multicore architectures. In particular, the framework exploits design-time knowledge and multi-objective requirements expressed by the user, to drive the autotuning process at the runtime. It also exploits a monitoring infrastructure to get runtime feed-back and to adapt to external changing conditions...
Modern embedded systems are now capable of executing complex and demanding applications that are often based on large data structures. The design of the critical data structures of the application affects the performance and the memory requirements of the whole system. Dynamic Data Structure Refinement methodology provides optimizations, mainly in list and array data structures, which are based on...
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