Operating System Design Research Articles

English

It is very important to improve the design of the real-time operating system (RTOS) especially if we want to use it in some special devices. Numerous researches have accepted conventional RTOS as being the customary approach for designing devices used by children. This is because these are able to facilitate the implementation different criteria such as clustering, stability and alternate programs. In this paper, numerous publications have been analyzed to observe the performance of the RTOS when it is subjected to varied constraints. The study focuses on a review of RTOS in relation to play models to analyze their capabilities on various computing platforms and OSs. The publications which we have collected have been sorted out to comprehensively review thereby leading to the configuration of several factors affecting the features within the system. Likewise, statistics and results have facilitated adoption of a more focused approach towards the development of RTOS. While this program ranks clustering and performance as being the highest RTOS criteria for all applications, alternate programs considered this to be the least important. Thus, criteria choice becomes an important issue to address.    Key words: Operating system (OS), play model, real-time, real-time operating system (RTOS) performance, RTOS criteria.

Towards a cognitive meta-model for adaptive trust and reputation in open multi-agent systems

Computational trust and reputation models are key elements in the design of open multi-agent systems. They offer means of evaluating and reducing risks of cooperation in the presence of uncertainty. However, the models proposed in the literature do not consider the costs they introduce and how they are affected by environmental aspects. In this paper, a cognitive meta-model for adaptive trust and reputation in open multi-agent systems is presented. It acts as a complement to a non-adaptive model by allowing the agent to reason about it and react to changes in the environment. We demonstrate how the meta-model can be applied to existent models proposed in the literature, by adjusting the model's parameters. Finally, we propose evaluation criteria to drive meta-level reasoning considering the costs involved when employing trust and reputation models in dynamic environments.

Improvised Round Robin (CPU) Scheduling Algorithm

CPU is a primary computer resource. So, its scheduling is central to operating system design. To improve both utilization and the speed of CPU we need to keep several processes in memory at a time that means we use the sharing and multiprogramming concepts. CPU scheduling determines which process run when there are multiple runnable processes CPU scheduling is necessary because it has a big effect on resources utilization and overall performance of the system. In this paper, we are giving an improved CPU Scheduling algorithm.

ANALYSIS OF ROUCAIROL AND CARVALHO APPROACH IN DISTRIBUTED MUTUAL EXCLUSION

Critical section problem is a well known problem in Computer Science. It arises when multiple processes or threads simultaneously try to access shared resources like physical devices or logical objects. In Conventional Operating System Design, we use semaphores to solve this one. In Distributed System due to absence of shared memory we cannot implement the same solution. Various approaches are given to solve the critical section problem in Distributed System. An algorithm that solves critical section problem should have following properties like fairness along with deadlock freedom, freedom from starvation and fault tolerant. Ricart and Agrawala suggested message based approach to get mutual exclusion in Distributed System. This approach fairly deals with the critical section problem. Roucairol and Carvalho suggested an optimization for the given approach. This paper is shedding lights on the proposed optimization. This paper finally concludes that though the optimization has a better performance over the original one yet this one is compromising with the fairness.

Evaluation of depuration procedures to mitigate the off-flavor compounds geosmin and 2-methylisoborneol from Atlantic salmon Salmo salar raised to market-size in recirculating aquaculture systems

Fish cultured within water recirculating aquaculture systems (RAS) can acquire “earthy” or “musty” off-flavors due to bioaccumulation of the compounds geosmin and 2-methylisoborneol (MIB), respectively, which are produced by certain bacterial species present in RAS biosolids and microbial biofilms. Fish cultured in RAS are generally transferred to separate depuration systems that are flushed with water in a single pass or operated with limited water recirculation (with no biofilter), in order to purge these unpalatable flavors. Technologies and standard operating practices that optimize purging kinetics for Atlantic salmon Salmo salar and other species cultured in RAS are needed to improve the consistency and efficacy of depuration. A 2×2 factorial trial was conducted to evaluate techniques to mitigate off-flavor from Atlantic salmon cultured to 3–5kg in a semi-commercial scale freshwater RAS. Twelve replicated depuration systems (0.5m3) were used to evaluate four combinations (n=3) of the following standard operating procedure and system design parameters: (1) disinfection of depuration systems as a 1h static treatment using 250mg/L hydrogen peroxide (H2O2) prior to stocking fish, (2) no disinfection prior to stocking fish, (3) presence of water aeration media within gas transfer columns of depuration systems, and (4) absence of water aeration media within gas transfer columns of depuration systems. Food-size Atlantic salmon were stocked within the depuration systems and kept off feed for 10 days. Six salmon were harvested from the original RAS on Day 0 and fileted for baseline assessment of off-flavor concentrations. Thereafter, filet samples (n=3–4) were taken on Days 3, 6, and 10 to evaluate off-flavor kinetics. Hydrogen peroxide disinfection of depuration systems resulted in significantly reduced off-flavor in salmon filets during the depuration period. Results also indicated that the presence of high-surface-area water aeration media shielded biofilms from complete disinfection, resulting in less and slower off-flavor removal from Atlantic salmon filets; while depuration systems void of media resulted in greater and more rapid off-flavor reduction. Thus, water aeration media should not be used in depuration systems because of the challenges posed for effective cleaning, disinfection, and inactivation of off-flavor producing bacteria that may be present, and unit processes and locations that are difficult-to-clean should be excluded. In addition, a wide range of off-flavor concentrations were measured within individual salmon, indicating that one salmon is not a representative sample size to determine market suitability.

Applied-Information Technology with Design and Development of Bluetooth PSTN Gateway and Audio Terminal

Based on the Bluetooth specification and profiles, this paper discussed the concept of 3-in-1 phone and the design and realization of two versions of Bluetooth PSTN gateway and audio terminal developed by the authors. First, this paper illustrates the characteristics and innovation of PC version of Bluetooth protocol stack developed by us, which includes the design and realization of Virtual Operating System (VOS) and such methods as bytes sequence and bytes alignment shield, and discusses the development of equipments. Then, the design and realization of embedded PSTN gateway and audio terminal are discussed, the realization of embedded software and PSTN gateway that supports multi-terminals are emphasized. Finally, the application prospects of PSTN gateway and audio terminal are introduced.

A longitudinal view of supply chain education

Purpose – The logistics and supply chain management discipline has evolved dramatically over the past generation. The rapid pace of change has challenged education providers – e.g., universities, professional associations, and publications – to remain relevant to various stakeholders. Relying on an open systems design perspective, the purpose of this paper is to assess how well organizations use constrained resources (personnel, dollars, time, etc.) to meet customers’ educational needs. Design/methodology/approach – To examine how well educational providers are meeting stakeholder goals, universities, associations, and publications are examined across time by multiple surveys to determine if they are keeping pace in the changing business world. Findings – The paper identifies two gaps. First, stakeholders report a growing gap between the offerings of existing education providers and their educational needs. Second, the gap between academic and practitioner perceptions is growing. Importantly, some organizations and universities are doing a better job of responding to changing educational requirements. Finally, a shift to SCM is further complicating the educational process. Originality/value – This study makes two primary contributions. First, it identifies important changes in the logistics and supply chain education market. Second, it provides updated rankings of the perceptions of academics and practitioners regarding three education providers: professional organizations, universities, and publications. This insight enables logistics and supply chain thought leaders to evaluate how they can enhance education resources and thus remain relevant in a rapidly changing and increasingly tumultuous marketplace.

Model validation and performance analysis of regenerative solid oxide cells for energy storage applications: Reversible operation

The need for electrical energy storage (EES) is being driven by the deployment of increasing amounts of intermittent renewable energy resources. In addition to their fuel flexibility, high efficiency, scalability, and long-term cost outlook, reversible (regenerative) solid oxide cell (rSOC) systems have the potential for round-trip efficiencies competitive with the other available energy storage technologies. Accordingly, the focus of the current study is to investigate modeling methods for high temperature rSOCs in order to facilitate future endeavors related to establishing optimal operating conditions and system designs. Previously developed solid oxide fuel cell (SOFC) and solid-oxide electrolytic cell (SOEC) models are integrated to form a general rSOC model. The model is first calibrated and validated based on the available experimental data in the extant literature. The validation results show that the fitting parameters extracted from the calibration study can precisely simulate the cell behavior under various operating conditions. The effects of key operating parameters, such as temperature, gas composition and fuel utilization, on the voltage–current density performance characteristic and thermoneutral voltage are then investigated. It is also observed that the total electrochemical losses of the cell can be significantly different in each operating mode (fuel cell and electrolyzing) under certain operating conditions. Advantages of pressurized operation on thermal management are also discussed.

CPU Scheduling Visualization

Scheduling is a key concept in computer multitasking and multiprocessing operating system design, and in real-time operating system design. CPU scheduling is the basis of multiprogramming operating systems by switching the CPU among process; the operating system can make the computer more productive, scheduling algorithms are widely used in communications networks and in operating systems to allocate resources to competing tasks. In this paper, visual interfaces for CPU scheduling algorithms were designed by using Visual Basic6 language. They may use to learn users about this algorithms and how they work

Stability Analysis and Optimal Design of Super-power Hydraulic Operating System

Stability Analysis and Optimal Design of Super-power Hydraulic Operating System

A Mobile Multi-Agent Information System for Ubiquitous Fetal Monitoring

Electronic fetal monitoring (EFM) systems integrate many previously separate clinical activities related to fetal monitoring. Promoting the use of ubiquitous fetal monitoring services with real time status assessments requires a robust information platform equipped with an automatic diagnosis engine. This paper presents the design and development of a mobile multi-agent platform-based open information systems (IMAIS) with an automated diagnosis engine to support intensive and distributed ubiquitous fetal monitoring. The automatic diagnosis engine that we developed is capable of analyzing data in both traditional paper-based and digital formats. Issues related to interoperability, scalability, and openness in heterogeneous e-health environments are addressed through the adoption of a FIPA2000 standard compliant agent development platform—the Java Agent Development Environment (JADE). Integrating the IMAIS with light-weight, portable fetal monitor devices allows for continuous long-term monitoring without interfering with a patient’s everyday activities and without restricting her mobility. The system architecture can be also applied to vast monitoring scenarios such as elder care and vital sign monitoring.

A Study on characteristics of minimalism that have been applied to the UI design of mobile operating systems -Focusing on iOS 7 operating system-

A Study on characteristics of minimalism that have been applied to the UI design of mobile operating systems -Focusing on iOS 7 operating system-

Real-time Operating System for Wireless Sensors powered by Renewable Energy Source

Energy management is a central problem in real-time systems design, in particular for embedded wireless devices such as sensor devices. In our work, we aim at the improvement of real-time operating systems that are powered by renewable energy source (solar energy, for example). The objective of this work is to develop software components for the design of real-time operating systems. We provide an on-line scheduling scheme, named Earliest Deadline with energy guarantee (EDeg), in order to address the limitations in energy harvesting systems. We also integrate EDeg scheduling algorithm into CLEOPATRE open-source component library, a patch to Linux/RTAI and evaluate the scheduling overheads of EDeg observed under Linux/RTAI.

Life under flow: A novel microfluidic device for the assessment of anti-biofilm technologies

In the current study, we have developed and fabricated a novel lab-on-a-chip device for the investigation of biofilm responses, such as attachment kinetics and initial biofilm formation, to different hydrodynamic conditions. The microfluidic flow channels are designed using computational fluid dynamic simulations so as to have a pre-defined, homogeneous wall shear stress in the channels, ranging from 0.03 to 4.30 Pa, which are relevant to in-service conditions on a ship hull, as well as other man-made marine platforms. Temporal variations of biofilm formation in the microfluidic device were assessed using time-lapse microscopy, nucleic acid staining, and confocal laser scanning microscopy (CLSM). Differences in attachment kinetics were observed with increasing shear stress, i.e., with increasing shear stress there appeared to be a delay in bacterial attachment, i.e., at 55, 120, 150, and 155 min for 0.03, 0.60, 2.15, and 4.30 Pa, respectively. CLSM confirmed marked variations in colony architecture, i.e.,: (i) lower shear stresses resulted in biofilms with distinctive morphologies mainly characterised by mushroom-like structures, interstitial channels, and internal voids, and (ii) for the higher shear stresses compact clusters with large interspaces between them were formed. The key advantage of the developed microfluidic device is the combination of three architectural features in one device, i.e., an open-system design, channel replication, and multiple fully developed shear stresses.

Study on the Network Control of Construction Machinery Control and Computer Operating System

The application of hydraulic drive as well as control technology to construction machinery control as well as operating system has been very common. In this paper, network control system is briefly introduced first, and then the computer controls of vehicle and construction machinery hydraulic system are discussed respectively from the new methods for the motion control and integration of drive and operating system, and the operating and control system design of beam lifting machine DJY200.

Wireless Sensor Network Operating System Design Rules Based on Real-World Deployment Survey

Wireless sensor networks (WSNs) have been a widely researched field since the beginning of the 21st century. The field is already maturing, and TinyOS has established itself as the de facto standard WSN Operating System (OS). However, the WSN researcher community is still active in building more flexible, efficient and user-friendly WSN operating systems. Often, WSN OS design is based either on practical requirements of a particular research project or research group's needs or on theoretical assumptions spread in the WSN community. The goal of this paper is to propose WSN OS design rules that are based on a thorough survey of 40 WSN deployments. The survey unveils trends of WSN applications and provides empirical substantiation to support widely usable and flexible WSN operating system design.

Design and Implementation of a State-Driven Operating System for Highly Reconfigurable Sensor Networks

Due to the low-cost and low-power requirement in an individual sensor node, the available computing resources turn out to be very limited like small memory footprint and irreplaceable battery power. Sensed data fusion might be needed before being transmitted as a tradeoff between procession and transmission in consideration of saving power consumption. Even worse, the application program needs to be complicated enough to be self-organizing and dynamically reconfigurable because changes in an operating environment continue even after deployment. State-driven operating system platform offers numerous benefits in this challenging situation. It provides a powerful way to accommodate complex reactive systems like diverse wireless sensor network applications. The memory usage can be bounded within a state transition table. The complicated issues like concurrency control and asynchronous event handling capabilities can be easily achieved in a well-defined behavior of state transition diagram. In this paper, we present an efficient and effective design of the state-driven operating system for wireless sensor nodes. We describe that the new platform can operate in an extremely resource constrained situation while providing the desired concurrency, reactivity, and reconfigurability. We also compare the executing results after comparing some benchmark test results with those on TinyOS.

Control Multivariable por Desacoplo

The interaction between variables is inherent in multivariable processes and this fact may complicate their operation and control system design. Under the paradigm of decoupling control, several methodologies that traditionally have been addressed to cancel or reduce the interactions are gathered. Recently, this approach has been reoriented by several researchers with the aim to solve such a complex problem as the multivariable control. Parts of the material in this work are well known in the process control field; however, most of them are results obtained by the authors after several years of research giving priority to the problem generalization and practical issues like easiness of implementation and utilization of PID controllers as elementary blocks. This combination of interests makes difficult to obtain perfect decoupling in all cases; although it is possible to achieve an important interaction reduction at the basic level of the control pyramid in such a way that other control systems at higher hierarchical levels benefit of this fact. This article summarizes the main aspects of decoupling control and presents its application to two illustrative examples: an experimental quadruple tank process and a 4×4 model of a heat, ventilation and air conditioning system.

Softshell

In this paper we present Softshell, a novel execution model for devices composed of multiple processing cores operating in a single instruction, multiple data fashion, such as graphics processing units (GPUs). The Softshell model is intuitive and more flexible than the kernel-based adaption of the stream processing model, which is currently the dominant model for general purpose GPU computation. Using the Softshell model, algorithms with a relatively low local degree of parallelism can execute efficiently on massively parallel architectures. Softshell has the following distinct advantages: ( 1 ) work can be dynamically issued directly on the device, eliminating the need for synchronization with an external source, i.e ., the CPU; ( 2 ) its three-tier dynamic scheduler supports arbitrary scheduling strategies, including dynamic priorities and real-time scheduling; and ( 3 ) the user can influence, pause, and cancel work already submitted for parallel execution. The Softshell processing model thus brings capabilities to GPU architectures that were previously only known from operating-system designs and reserved for CPU programming. As a proof of our claims, we present a publicly available implementation of the Softshell processing model realized on top of CUDA. The benchmarks of this implementation demonstrate that our processing model is easy to use and also performs substantially better than the state-of-the-art kernel-based processing model for problems that have been difficult to parallelize in the past.

Exact and approximate solutions for fulfilment metrics in open pipeline order fulfilment systems

Open pipeline order fulfilment systems have emerged in sectors such as the automotive industry that offer a large number of product variants to the marketplace. In an open pipeline a customer can be fulfilled from anywhere in the system-by a stock product, by a product in the distribution system, by allocating a product in production or a product in the plan, or by supplying a product specially built to order (BTO). Here new results are presented to estimate the performance metrics for open pipeline systems. An exact expression is developed based on a Markov analysis to calculate the BTO proportion for any combination of the key system parameters-pipeline length, the variety level and the initial stock level. Approximation schemes are developed to estimate the pipeline and stock fulfilment proportions, the mean lead time and the mean stock level. The approximation schemes provide accurate estimates for a large range of systems. Specific issues that affect the estimation of performance metrics in low variety, open pipeline systems are discussed. The results presented provide generic insights for open pipeline systems design and management and provide a platform for further work in extending the applicability of open pipeline concepts.