Optimal mobility-aware admission control in content delivery networks

This paper addresses the problem of mobility management in Content Delivery Networks (CDN). We introduce a CDN architecture where admission control is performed at mobility aware access routers. We formulate a Markov Modulated Poisson Decision Process for access control that captures the bursty nature of data and packetized traffic together with the heterogeneity of multimedia services. The optimization of performance parameters, like the blocking probabilities and the overall utilization, is conducted and the structural properties of the optimal solutions are also studied. Heuristics are proposed to encompass the computational difficulties of the optimal solution when several classes of multimedia traffic are considered

Push & Pull: autonomous deployment of mobile sensors for a complete coverage

Mobile sensor networks are important for several strategic applications devoted to monitoring critical areas. In such hostile scenarios, sensors cannot be deployed manually and are either sent from a safe location or dropped from an aircraft. Mobile devices permit a dynamic deployment reconfiguration that improves the coverage in terms of completeness and uniformity. In this paper we propose a distributed algorithm for the autonomous deployment of mobile sensors called Push&Pull. According to our proposal, movement decisions are made by each sensor on the basis of locally available information and do not require any prior knowledge of the operating conditions or any manual tuning of key parameters. We formally prove that, when a sufficient number of sensors are available, our approach guarantees a complete and uniform coverage. Furthermore, we demonstrate that the algorithm execution always terminates preventing movement oscillations. Numerous simulations show that our algorithm reaches a complete coverage within reasonable time with moderate energy consumption, even when the target area has irregular shapes. Performance comparisons between Push&Pull and one of the most acknowledged algorithms show how the former one can efficiently reach a more uniform and complete coverage under a wide range of working scenarios.Comment: Technical Report. This paper has been published on Wireless Networks, Springer. Animations and the complete code of the proposed algorithm are available for download at the address: http://www.dsi.uniroma1.it/~novella/mobile_sensors

Effect of nitrogen fertilization on sorghum for biomass production

ArticleTwo field experiments were carried out in 2005 and 2006 in central Italy in order to evaluate the effects of different nitrogen (N) application rates (0, 50 100 and 150 kg ha-1 ) on flowering date, plant height, biomass production and partitioning (leaves, panicles and stems) and biomass quality of a sorghum hybrid (H133). Sorghum showed a high potential in terms of biomass production without N fertilization (18.5 t ha-1 of d.m. in 2005 and 26.6 t ha-1 of d.m. in 2006). The rate that maximized the biomass production was 100 kg ha-1 of N, increasing the biomass dry weight by 23.8% in 2005 and 18.8% in 2006, with respect to unfertilized sorghum; higher N rates are not advisable in order to avoid increasing fertilization costs and environmental impact without benefit of greater biomass production. The two highest N rates when combined with low water availability appeared to increase the rate of plant development, causing earlier flowering and increasing the percentage of panicles in total biomass. Higher heating value (HHV), lower heating value (LHV) and ash concentration of biomass varied among N rates, with values of HHV and LHV lower for unfertilized sorghum (17.6 and 16.7 MJ kg-1 d.m., respectively) than when N was applied (from 19.0 to 19.7 and from 18.1 to 18.8 MJ kg-1 d.m., respectively); on the contrary, ash concentration was greater for unfertilized sorghum (7.5% d.m.) than for fertilized sorghum (from 5.8 to 6.7% d.m.). This research showed the high potential of sorghum in terms of biomass production also when cultivated with limited irrigation and fertilization inputs. The biomass dry yield obtained by one hectare of sorghum crop without N nitrogen fertilization (i.e. 22.6 t ha-1 of d.m., average of 2005 and 2006 values) produces the same energy, by thermal utilisation, of 9.3 toe, that is equivalent to energy produced by 10,385 L of diesel fuel or 11,097 m3 of methane fuel. This aspect increases the certainty of the energetic and environmental sustainability of sorghum crop

Connecting European snow cover variability with large scale atmospheric patterns

Abstract. Winter snowfall and its temporal variability are important factors in the development of water management strategies for snow-dominated regions. For example, mountain regions of Europe rely on snow for recreation, and on snowmelt for water supply and hydropower. It is still unclear whether in these regions the snow regime is undergoing any major significant change. Moreover, snow interannual variability depends on different climatic variables, such as precipitation and temperature, and their interplay with atmospheric and pressure conditions. This paper uses the EASE Grid weekly snow cover and Ice Extent database from the National Snow and Ice Data Center to assess the possible existence of trends in snow cover across Europe. This database provides a representation of snow cover fields in Europe for the period 1972–2006 and is used here to construct snow cover indices, both in time and space. These indices allow us to investigate the historical spatial and temporal variability of European snow cover fields, and to relate them to the modes of climate variability that are known to affect the European climate. We find that both the spatial and temporal variability of snow cover are strongly related to the Arctic Oscillation during wintertime. In the other seasons, weaker correlation appears between snow cover and the other patterns of climate variability, such as the East Atlantic, the East Atlantic West Russia, the North Atlantic Oscillation, the Polar Pattern and the Scandinavian Pattern

Hyperosmolar hyperglycaemic state causing atypical status epilepticus with hippocampal involvement

Diabetes mellitus may arise abruptly and decompensate suddenly, leading to a hyperglycaemic hyperosmolar state. Coma often ensues, although this usually reverses after the metabolic abnormalities have resolved. Acute symptomatic seizures can also occur in patients who are conscious, although these usually resolve after osmolarity and glycaemia have normalised. We describe an elderly woman who failed to regain vigilance despite prompt treatment; the cause was an unusual non-convulsive status epilepticus arising from the mesial temporal lobe and promoting a progressive and selective hippocampal involvement. During follow-up, her seizures recurred after stopping antiseizure medication and she developed hippocampal sclerosis, although she subsequently became seizure-free with antiseizure medications. Patients who are unresponsive in a hyperglycaemic hyperosmolar state may be having subclinical epileptiform discharges and risk developing permanent brain damage and long-term epilepsy

Interannual variability of winter precipitation in the European Alps: relations with the North Atlantic Oscillation.

Abstract. The European Alps rely on winter precipitation for various needs in terms of hydropower and other water uses. Major European rivers originate from the Alps and depend on winter precipitation and the consequent spring snow melt for their summer base flows. Understanding the fluctuations in winter rainfall in this region is crucially important to the study of changes in hydrologic regime in river basins, as well as to the management of their water resources. Despite the recognized relevance of winter precipitation to the water resources of the Alps and surrounding regions, the magnitude and mechanistic explanation of interannual precipitation variability in the Alpine region remains unclear and poorly investigated. Here we use gridded precipitation data from the CRU TS 1.2 to study the interannual variability of winter alpine precipitation. We found that the Alps are the region with the highest interannual variability in winter precipitation in Europe. This variability cannot be explained by large scale climate patterns such as the Arctic Oscillation (AO), North Atlantic Oscillation (NAO) or the East Atlantic/West Russia (EA/WR), even though regions below and above the Alps demonstrate connections with these patterns. Significant trends were detected only in small regions located in the Eastern part of the Alps

A General Framework for Accelerator Management Based on ISA Extension

Thanks to the promised improvements in performance and energy efficiency, hardware accelerators are taking momentum in many computing contexts, both in terms of variety and relative weight in the silicon area of many chips. Commonly, the way an application interacts with these hardware modules has many accelerator-specific traits and requires ad-hoc drivers that usually rely on potentially expensive system calls to manage accelerator resources and access orchestration. As a consequence, driver-based interfacing is far from uniform and can expose high latency, limiting the set of tasks suitable for acceleration. In this paper, we propose a uniform and low-latency interface based on Instruction Set Architecture (ISA) extension. All the previous studies that proposed extensions, were deeply tailored to address a single accelerator. One of the biggest disadvantages of those methods is their inability to scale. Adding more of these accelerators to one System-on-Chip (SoC) would result in ISA bloat, increasing power consumption and complexifying the decoding phase proportionally. Our proposed framework consists of a six-instruction ISA extension and the corresponding architectural support that implements the interface abstraction and the reservation logic at the hardware level. Our proposal allows controlling a broad class of integrated accelerators directly from the CPU. The proposed framework is ISA-independent, which means that it is applicable to all the existing ISAs. We implement it on the gem5 simulator by extending the RISC-V ISA. We evaluate it by simulating three compute-intensive accelerators and comparing our interfacing with a conventional driver-based one. The benchmarks highlight the performance benefits brought by our framework, with up to 10.38x speed up, as well as the ability to seamlessly support different accelerators with the same interface. The speed up advantage of our technique diminishes as the granularity of the workloads increases and the overhead for driver-based accelerators becomes less important. We also show that the impact of its hardware components on chip area and power consumption is limited