Various industry forecasts project that, by 2020, there will be around 50 billion devices connected to the Internet of Things (IoT), helping to engineer new solutions to societal-scale problems such as healthcare, energy conservation, transportation, etc. Most of these devices will be wireless due to the expense, inconvenience, or in some cases, the sheer infeasibility of wiring them. Further, many of them will have stringent size constraints. With no cord for power and limited space for a battery, powering these devices (to achieve several months to possibly years of unattended operation) becomes a daunting challenge. This paper highlights some promising directions for addressing this challenge, focusing on three main building blocks: (a) the design of ultra-low power hardware platforms that integrate computing, sensing, storage, and wireless connectivity in a tiny form factor, (b) the development of intelligent system-level power management techniques, and (c) the use of environmental energy harvesting to make IoT devices self-powered, thus decreasing -- in some cases, even eliminating -- their dependence on batteries. We discuss these building blocks in detail and illustrate case-studies of systems that use them judiciously, including the QUBE wireless embedded platform, which exploits the characteristics of emerging non-volatile memory technologies to seamlessly and efficiently enable long-running computations in systems that experience frequent power loss (i.e., intermittently powered systems).

Directional antennas offer many potential advantages for wireless networks such as increased network capacity, extended transmission range and reduced energy consumption. Exploiting these advantages, however, requires new protocols and mechanisms at various communication layers to intelligently control the directional antenna system. With directional antennas, many trivial mechanisms, such as neighbor discovery, become more challenging since communicating parties must agree on where and when to point their directional beams to enable communication. In this paper, we propose a fully directional neighbor discovery protocol called Sectored-Antenna Neighbor Discovery (SAND) protocol. SAND is designed for sectored-antennas, a low-cost and simple realization of directional antennas, that utilize multiple limited beamwidth antennas. Unlike many proposed directional neighbor discovery protocols, SAND depends neither on omnidirectional antennas nor on time synchronization. In addition, SAND performs neighbor discovery in a serialized fashion allowing individual nodes to discover all potential neighbors within a predetermined time. Moreover, SAND guarantees the discovery of the best sector combination on both communication ends allowing more robust and higher reliability links. Finally, SAND gathers the neighborhood information in a centralized location, if needed, to be used by centralized networking protocols. The effectiveness of SAND has been assessed via simulation studies and real hardware implementation.

Wireless sensor networks have been used to gather data and information in many diverse application settings. The capacity of such networks remains a fundamental obstacle toward the adaptation of sensor network systems for advanced applications that require higher data rates and throughput. In this paper, we explore potential benefits of integrating directional antennas into wireless sensor networks. While the usage of directional antennas has been investigated in the past for ad hoc networks, their usage in sensor networks bring both opportunities as well as challenges. In this paper, Sectored-Antenna Medium Access Control (SAMAC), an integrated cross-layer protocol that provides the communication mechanisms for sensor network to fully utilize sectored antennas, is introduced. Simulation studies show that SAMAC delivers high energy efficiency and predictable delay performance with graceful degradation in performance with increased load.

The performance of parallel systems under commercial applications strongly depend on the speeds of IO subsystems and interconnects. Any single bottleneck in there hinder one from fully taking advantages of today's faster CPUs and better instruction architectures. Therefore, configuring bottleneck-free IO subsystems and interconnects is essential. In this paper we considered IO subsystem and interconnect in SPAX system. When the SPAX's IO subsystem is lightly equipped, the first bottleneck appears at disk drives. Although the disk bottleneck can be removed by putting more disks, another bottleneck was detected at the data buffer which is the first component in communication path. That is to say, all components in IO subsystems and interconnects must be sufficiently equipped, simultaneously, to thoroughly eliminate the bottleneck. We could reach a cost-effective bottleneck-free configuration of SPAX by making use of its flexible hardware design. The simulation results of SPAX then show significant performance gain from faster CPUs with better instruction architectures.

In cache based multiprocessors a protocol must maintain coherence among replicated copies of shared writable data. In delayed consistency protocols the effect of out-going and in-coming invalidations or updates are delayed. Delayed coherence can reduce processor blocking time as well as the effects offalse sharing. In this paper, we introduce several implementations of delayed consistency for cache-based systems in the framework of a weakly­ ordered consistency model. A performance comparison of the delayed protocols with the corre sponding On-the-Fly (non-delayed) consistency protocol is made, through execution-driven simulations of four parallel algorithms. The results show that,for parallel programs in which false sharing is a problem, significant reductions in the data miss rate of paraUel programs can be obtained with just a small incre ase in the cost and complexity of the cache system.