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High-performance processors utilize embedded thermal sensors to continuously monitor the temperature of the chip during runtime. However, the overheating locations change temporally and spatially, depending on the various workloads running on the chip. Moreover, on-chip thermal sensor readings are highly affected by noise due to fabrication variations and randomness, which make the task of thermal...
We study the problem of dynamic content replacement in terms of network state variation in elastic optical datacenter networks. A dynamic content replacement scheme is proposed to minimize spectrum consumption, blocking probability and network latency.
The flow aggregation scheme which aggregates a large number of finer-grained services into one large flow can save transceivers and improve spectrum efficiency. It ensures that all services in the aggregated flow have a same routing. Moreover, the spectrum allocated to all finer-grained services in the aggregated flow is continuous. Compared with independent transmission scheme which conducts the...
We propose an inter-core crosstalk-aware routing, spectrum and core allocation scheme with spectrum bands and spatial Sp-Chs in multi-dimensional optical networks to get higher SE and lower XT. 15% reduction in XT is achieved.
We propose a shared protection scheme based on the sharing principle among multiple end-to-content backup paths in optical datacenter networks. Numerical results show it can reduce wavelengths consumption while ensuring the survivability against multi-failures.
Middleboxes are adopted to enhance network functions, e.g., providing security and guaranteeing performance. Some applications require flows to sequence through several middleboxes, and such stateful policy routing is challenging for network administrators. The goal of the management is to distribute well middlebox resources and avoid overloads, thus protecting networks from malfunctioning. Furthermore,...
Compared with the conventional dynamic random access memory (DRAM), emerging non-volatile memory such as the phase change random access memory (PRAM) has better density and energy efficiency. However, it usually suffers shortcomings of high write power/latency and low write endurance. In this paper, we study the task allocation problem on the hybrid main memory with both DRAM and PRAM in order to...
With the growth of cloud computing and other high-bitrate disaster recovery center (DRC) support service, DRC networks play an important role in the future networks. But the nature or man-made disaster is the main threaten of survivability. In this paper, we focus on the protection of DRC node based on contentconnectivity against disaster in disaster recovery center networks. An integer linear programming...
On chip SRAMs including scratchpad memories (SPMs) and caches are widely used in embedded systems to narrow the speed gap between CPU and memory. Memory subsystem acts as both performance and energy bottleneck for many applications in many contemporary embedded systems. While many off-the-shelf embedded processors employ the architecture with hybrid caches and SPMs on-chip memories, many existing...
A supply chain with a retailer and a supplier is considered in this paper, where the supplier is a small to medium-sized company with capital constraints and in need of short-term financing and the retailer is a core enterprise, which may or may not have capital constraints but always wants to reduce the working capital need. To meet their capital needs, a 3-party loan contract based purchase-order...
Variable task execution time causes more complexity in task scheduling and thermal management. In this paper, we introduce a discrete probability distribution model to capture the variation of task execution time. And then we propose a slack-time-aware two-phase scheduling framework for parallel applications running on heterogeneous MPSoCs. It exploits slack time among tasks with precedence constraints...
The memory subsystem is the performance bottleneck for data intensive applications, which makes it a key consideration in high-performance embedded system optimization. On-chip SRAMs including scratchpad memories (SPMs) and caches are widely used in embedded systems to narrow the speed gap between CPU and memory. However, many existing SPM data allocation algorithms are designed for architectures...
Calls to improve customer participation as a key element of smart grids have reinvigorated interest in demand-side features such as load control for residential users. For the load control problems, a pricing scheme based Nash Q-learning load controller is proposed. It considers a game with some non-cooperative energy equipments. The energy pricing scheme is introduced to the design of the reward...
The placement of virtual machines (VMs) on a cluster of physical machines (PMs) is a primary task in clouds. We can benefit a lot from appropriate placement policy, e.g. cost saving. In this paper, we raise a continuous virtual machine placement problem and propose an on-line algorithm to reduce the power consumption of clouds. Generic methods which deal with this problem with greedy manner will result...
With the rapid development of large-scale interconnected power systems, inter-area low frequency oscillation phenomena occasionally occur; thus, the small signal stability problem has become a serious issue affecting power system stability. When analyzing the small signal stability of a large-scale power grid (in particular, on-line dynamic security early warning systems), given the high rank of the...
This paper considers the maximization of the sum capacity of a multiuser cooperative wireless network through the joint optimization of power allocation among source nodes and distributed beamforming weights across the relay nodes. The distributed beamforming techniques offer the capability of enhancing the sum network capacity by achieving spatial multiplexing to support concurrent communications...
A new method based on Hopfield neural networks for solving job-shop scheduling problems (JSP) is proposed. All constraints of job-shop scheduling problems and its permutation matrix express are developed. A new calculation energy function included all constraints of job-shop scheduling problems is given. A corresponding new Hopfield neural network construction and its weights of job-shop scheduling...
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