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Anomalies of multitier services running in cloud platform can be caused by components of the same tenant or performance interference from other tenants. If the performance of a multitier service degrades, we need to find out the root causes precisely to recover the service as soon as possible. In this paper, we argue that cloud providers are in a better position than tenants to solve this problem,...
This paper proposes a novel indoor-outdoor caching relay system (CRS) and develops the corresponding caching mechanism, which can improve the utilization of wireless resources. It operates in two phases periodically. In Phase I, spectrum resources of the established links between MBS and user equipment (UE) are extracted to support data caching. In Phase II, caching relay system can directly serve...
All the cores of a many-core chip cannot be active at the same time, due to reasons like low CPU utilization in server systems and limited power budget in dark silicon era. These free cores (referred to as bubbles) can be placed near active cores for heat dissipation so that the active cores can run at a higher frequency level, boosting the performance of active cores and applications. Budgeting inactive...
Device-to-device (D2D) communication is a promising technology for 5G wireless communication system. Since D2D communication usually reuses the resource of cellular users, interference management and resource allocation of D2D are the mainly research directions in D2D communication underlay cellular networks. The physical-layer security problem of D2D link is rarely under studied. In this paper, we...
The user's Quality of Experience (QoE) is an assessment of the human experience. It's not only influenced by Quality of Service (QoS) parameters but also influenced by user's preference for video content. This article studies user's preference for video content and how user's QoE changes on account of their biases. Through two experiments, it is concluded that the higher the user's preference score...
Femtocell technology, which aims at improving indoor signal coverage and offloading traffic from macro base stations (MBSs), has attracted interest in wireless industry. Among all the access methods, hybrid access proves to be the most promising one. However, it is difficult to promote the hybrid access mode since all the femto holders (FHs) merely care about their own benefits. In this paper, we...
Femtocells have attracted more and more attention in academia, industry and standardization forums. Besides, energy efficiency has been widely discussed in recent years. However, most of the existing works focus on the energy efficiency of macro base stations, the energy efficiency of femto base stations is neglected. In this paper, we study the maximization of energy efficiency of downlink OFDMA...
Robotic sensor network (RSN) contains mobile sensors and robots provides feasible solution for many multiagent applications. One of the most critical issues in RSN and its application is how to effectively assign tasks. This paper presents a novel threshold-based task allocation strategy to answer the question particularly for RSN. Firstly, we model the task allocation in RSN to distinguish the discovering...
OFDMA has been selected as the multiple access scheme for emerging broadband wireless communication systems. However, designing efficient resource allocation algorithms for OFDMA systems is a challenging task, especially in the uplink, due to the combinatorial nature of subcarrier assignment and the distributed power budget for different users. Inspired by Glauber dynamics, in this paper, we propose...
This paper analyzes the transmission capacity of D2D (Device-to-Device) network in cellular and D2D heterogeneous networks(HetNets) with cellular users (CeUEs) assisted. The D2D network capacity can be enhanced by allocating a part of CeUE transmission power to assist D2D communication. By utilizing stochastic geometry, we first model the HetNets by homogeneous Poisson point process (HPPP). Secondly,...
This paper proposes a downlink mapping algorithm for two-level requests in Orthogonal Frequency Division Multiple Access based IEEE 802.16e systems under the Adaptive Modulation and Coding (AMC) mode by which the modulation and coding scheme (MCS) of a user may be different for available subchannels. Given a set of requests each with two priorities, the proposed algorithm efficiently allocates a two-dimensional...
A resource allocation scheme involving several Device-to-Device (D2D) multicast groups underlaying OFDMA-based systems is proposed in this paper. In order to guarantee Quality of service (QoS) of cellular users (CeUEs), we define the signal-to-interference-pulse noise ratio (SINR) threshold value for CeUEs. Meanwhile, the minimum throughput of a single D2D multicast group is predetermined to maintain...
Virtualization technology and MapReduce program model are sharp swords for the big data and cloud computing era. The combination of them exhibits powerful ability of easy-management, fast-deployment, feasible-scalability and high-efficiency. However, the downside is that the performance is limited by the I/O bottleneck of Virtual Machine(VM). A huge number of data should be handled in MapReduce cluster...
In this paper we study the problem of providing fair throughput for mobile stations (MSs) in a wireless mesh network (WMN) by jointly considering the handoff management of the MSs and the resource allocations at the access points (APs). An optimization problem is formulated based on long-term proportional fairness, so that all the MSs in the entire WMN can receive fair average throughput, while the...
This paper proposes an efficient downlink resource allocation scheme for Orthogonal Frequency Division Multiple Access based WiMAX systems using the Adaptive Modulation and Coding mode operation. Given a set of user requests, the proposed algorithm determines the modulation scheme and allocates a two-dimensional (time and frequency) burst to each user. It is known that finding the optimal solution...
We investigate distributed frequency allocation problem in dynamic environment of cognitive radio (CR) networks with a stochastic game (SG) model. Traditional multi-agent reinforcement learning (MARL) algorithms, as the primary online strategy learning algorithms of SG game, are not suitable for the application of wireless communication. Hence, a new MARL algorithm, maximizing the average Q function...
Synchronous dataflow graphs (SDFGs) are widely used to model streaming applications such as signal processing and multimedia applications in embedded systems. Trade-off analysis between performance and resource usage of SDFGs allows designers to explore implementation alternatives of a system while meeting its performance requirements and resource constraints. This type of analysis is computationally...
A lot of access points (APs) in wireless mesh networks (WMNs) are battery powered. In order to minimize their energy consumption, the APs can adaptively adjust their transmission power and time based on various network conditions. In this paper, the problem of minimizing the AP energy consumption is formulated as an optimization problem with the constraint to satisfy the throughput requirements of...
High-performance libraries, the performance-critical building blocks for high-level applications, will assume greater importance on modern processors as they become more complex and diverse. However, automatic library generators are still immature, forcing library developers to manually tune library to meet their performance objectives. We are developing a new script-controlled compilation framework...
We present a novel cross-layer approach in minimizing energy consumption for multi-hop cooperative sensor networks, under the end-to-end reliability QoS requirement. Taking into consideration the power consumed in receiving and processing circuitry, we jointly determine the optimized routing, relay selection and power allocation strategies for direct transmission, single-relay cooperation and multi-relay...
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