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Micron's Automata Processor (AP) efficiently emulates non-deterministic finite automata and has been shown to provide large speedups over traditional von Neumann execution for massively parallel, rule-based, data-mining and pattern matching applications. We demonstrate the AP's ability to generate high-quality and energy efficient pseudo-random behavior for use in pseudo-random number generation or...
The advent of Big Data has brought many challenges and opportunities in distributed systems, which have only amplified with the rate of growth of data. There is a need to rethink the software stack for supporting data intensive computing and big data analytics. Over the past decade, the data analytics applications have turned to finer granular tasks which are shorter in duration and much more in quantity...
In the era of big data and cloud, distributed key-value stores are increasingly used as building blocks of large-scale applications. Comparing to traditional relational databases, key-value stores are particularly compelling due to their low latency and excellent scalability. Many big companies, such as Facebook and Amazon, run multiple different applications and services on top of a single key-value...
Heterogeneous network (HetNet) where the macro cells are underlaid with low power node (LPN) has been introduced to HSPA+ to enhance the system performance in a cost-efficient way. But the Uplink and Downlink (UL-DL) mismatch issue caused by applying the heterogeneous deployment will inevitably limit the performance in both uplink and downlink HSPA+ system. To mitigate the UL-DL mismatch effect, E-DCH...
Task scheduling and execution over large scale, distributed systems plays an important role on achieving good performance and high system utilization. Due to the explosion of parallelism found in today's hardware, applications need to perform over-decomposition to deliver good performance, this over-decomposition is driving job management systems' requirements to support applications with a growing...
This paper presents ZHT, a zero-hop distributed hash table, which has been tuned for the requirements of high-end computing systems. ZHT aims to be a building block for future distributed systems, such as parallel and distributed file systems, distributed job management systems, and parallel programming systems. The goals of ZHT are delivering high availability, good fault tolerance, high throughput,...
Heterogeneous network (HetNet) has been studied earlier in the context of LTE. But lately, there are also some discussions about HetNet in HSPA. Cross-tier interference (CTI) is an annoying issue to be investigated in the co-channel HSPA HetNet (CHH) scenario. In this paper, we will focus on the downlink CTI problem in CHH and propose a solution to mitigate it. Our scheme involves the macro muting...
Frequent changes in topology and link quality in mobile ad-hoc networks (MANETs) present challenging problems in achieving optimal performance. We propose a self-learning routing protocol based on Q-learning that makes use of Quality of Service (QoS) parameters such as Signal to Interference plus Noise Ratio (SINR), delay and throughput, to make routing decisions. At the same time, a Bayesian Network...
In this paper, the influence of feedback channel delay on system throughput of the cooperative multi-cell system with adaptive beamforming selection is discussed. On the one hand, multi-cell cooperative processing (MCP) has the potential to boost spectral efficiency and improve fairness among users. However, the traditional centralized multi-cell cooperative scheme, where a central processing unit...
In order to increase the network capacity and improve the network performance of wireless mesh networks (WMNs), a possible solution is to make the nodes equipped with multiple radios which tuned on multiple non-overlapping channels. Efficient channel assignment is necessary for throughput optimization of mesh nodes. This paper proposed a novel channel assignment algorithm which is very suitable for...
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