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Many-task computing (MTC) is a practical paradigm for developing loosely coupled and complex scientific applications. In this paradigm, computation on a large dataset is decomposed into tasks that are expected to be executed in parallel with dynamically allocated computing resources. These tasks pass data via files, and each one is to execute an existing program on one dataset element. Task scheduling...
In this paper, we study resource allocation and relay selection in a decode-and-forward downlink OFDMA cooperative network assuming imperfect channel state information (CSI) at the base station (BS). We assume that due to feedback delay, the BS has only outdated CSI of BS to users and inter-user links. We propose a centralized optimization framework in which the BS takes decisions on the basis of...
In this paper we develop a discrete and distributed optimization framework that maximizes the overall spectral efficiency of heterogeneous networks while ensuring a minimum fairness among users. We split the problem into two subproblems: the first one is handled by the users and consists in a transmission by each user of a minimum rate requirement to the base stations and the second is the resource...
We propose an adaptive resource allocation algorithm for a multiple-input multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) based downlink cognitive radio network (CRN). The CRN has multiple secondary users (SUs) coexisting with multiple primary users (PUs). The aim is to maximize the total data throughput of SUs while ensuring interference leakage to PUs is below a threshold...
In this paper, we address the problem of power control and subcarrier assignment for the downlink of a sectorized two-dimensional (2-D) OFDMA cellular network assuming statistical Channel State Information (CSI) and fractional frequency reuse. The latter reuse scheme has been recommended for several cellular systems such as WiMAX. In this context, we provide a resource allocation algorithm with low...
The goal of this paper is to propose a distributed resource allocation strategy for the access of opportunistic users in cognitive networks. The opportunistic, or secondary, users are modeled as a set of agents looking for the most appropriate slots to use, in the time-frequency domain, with the goal of avoiding conflicts among themselves and to yield possibly no interference to the primary users...
This paper deals with dynamic resource allocation problem for OFDMA-based cognitive radio systems. The proposed solution is specifically tailored for a secondary base stations (SBS) transmitting to secondary users (SUs) over the same bands of the licensed primary users (PUs) in underlay fashion. The downlink transmission goodput is thereby maximized while keeping the interference on the PUs within...
This paper aims to contribute to bridge the gap between existing theoretical results in distributed radio resource allocation policies based on equilibria in games (assuming complete information and rational players) and practical design of signal processing algorithms for self-configuring wireless networks. For this purpose, the framework of learning theory in games is exploited. Here, a new learning...
For multi-user cognitive networks, joint dynamic resource allocation (DRA) and waveform adaptation techniques have been developed that effectively represent, manipulate and utilize the physical-layer radio resources by synthesizing both transmitter and receiver waveforms from generalized signal expansion functions. To effect distributed DRA games, this paper discusses the intertwined sensing task...
In this paper we consider the Downlink Beamforming (DLBF) and resource allocation problem in MIMO-OFDMA systems. We consider the sum-power minimization or margin adaptive problem. This is a variable Signal to Interference and Noise Ratio (SINR), non-convex optimization problem and many aspects of this problem are not well understood. By using uplink downlink duality we first obtain the expression...
Today's Internet is facing many problems which did not take into account in its initial design, such as routing scalability, mobility and security. No matter evolutional or revolutionary solutions that are proposed in recent years, a recognized promising direction is to separate customer network from core network and separate identification from location. In this paper, we sketch out an architecture...
In this paper, we propose a new remote USB architecture to support live migration of virtual machines in SoD (System on-Demand) service. The SoD (System on-Demand) service is the service that provides virtual personal computers which are optimized virtual machines using distributed u-computing devices around users when the users demand. The virtual USB technology for virtual machines is a kind of...
Providing guaranteed quality-of-service (QoS) for resource-hungry multimedia applications over wireless fading channels is challenging. Traditional layered architecture fails miserably in providing the QoS requirement of high throughput, low latency demand of these kinds of applications in wireless mobile networks. Cross-layer design approaches are critical for efficient utilization of the scarce...
Complicated method and technology have been introduced into business workflow to solve their cooperation and load balancing. However, as combination of data management and flow management, scientific workflow's load balancing is less researched. So the phenomena of conflicting scheduling and load unbalance often occur. In this paper, we analyze functional framework and load consumption of scientific...
The anticipated uptake of Cloud computing, built on the well-established research fields of Web services, networks, utility computing, distributed computing and virtualisation, will bring many advantages in cost, flexibility and availability for service users. These benefits are expected to further drive the demand for cloud services, increasing both the cloud customer base and the scale of cloud...
Congestion, the major reason for a link break is caused due to excessive load on the network, further leads to failure of nodes and topology change in the ad-hoc network. Transferring load of congested route to less congested routes improves overall network performance. Adhoc On-Demand Multipath Distance Vector (AOMDV) selects a path with a lower hop count and discards routes with higher hop count...
As the number of cores integrated onto a single chip increases, architecture and compiler designers are challenged with the difficulty of utilizing these cores to improve the performance of a single application. Thread-level speculation (TLS) can potentially help by allowing possibly dependent threads to speculatively execute in parallel. Extracting speculative thread from sequential applications...
Load balancing is an important requirement for the efficient execution of parallel numerical simulations. In particular when the simulation domain changes over time, the mapping of computational tasks to processors needs to be modified accordingly. State-of-the-art libraries for this problem are based on graph repartitioning. They have a number of drawbacks, including the optimized metric and the...
We consider the problem of allocating a large number of independent, equal-sized tasks to a heterogeneous large scale computing platform. We model the platform using a set of servers (masters) that initially hold (or generate) the tasks to be processed by a set of clients (slaves). All resources have different speeds of communication and computation and we model contentions using the bounded multi-port...
To cope with rapidly increasing Internet usage nowadays, providing Internet services using multiple servers has become a necessity. To ensure sufficient service quality and server utilization at the same time, effective methods are needed to spread load among servers properly. Existing load balancing methods often assume servers are homogeneous and consider only one type of resource, such as CPU....
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