Quality Of Service In Terms Research Articles

Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding

The coexistence of parallel applications in shared computing nodes, each one featuring different Quality of Service (QoS) requirements, carries out new challenges to improve resource occupation while keeping acceptable rates in terms of QoS. As more application-specific and system-wide metrics are included as QoS dimensions, or under situations in which resource-usage limits are strict, building and serving the most appropriate set of actions (application control knobs and system resource assignment) to concurrent applications in an automatic and optimal fashion become mandatory. In this paper, we propose strategies to build and serve this type of knowledge to concurrent applications by leveraging Reinforcement Learning techniques. Taking multi-user video transcoding as a driving example, our experimental results reveal an excellent adaptation of resource and knob management to heterogeneous QoS requests, and increases in the amount of concurrently served users up to 1.24 × compared with alternative approaches considering homogeneous QoS requests.

Efficient dynamic resource allocation method for cloud computing environment

The dynamic resource allocation is a good feature of the cloud computing environment. However, it faces serious problems in terms of service quality, fault tolerance, and energy consumption. It was necessary, then, to find an effective method that can effectively address these important issues and increase cloud performance. This paper presents a dynamic resource allocation model that can meet customer demand for resources with improved and faster responsiveness. It also proposes a multi-objective search algorithm called Spacing Multi-Objective Antlion algorithm (S-MOAL) to minimize both the makespan and the cost of using virtual machines. In addition, its impact on fault tolerance and energy consumption was studied. The simulation revealed that our method performed better than the PBACO, DCLCA, DSOS and MOGA algorithms, especially in terms of makespan.

Compliance and competition with heterogeneous service providers: the federal Lifeline program

This paper studies how compliance behavior varies across competing service providers in the Lifeline phone subsidy program and assesses whether enlarging the set of providers improves program outcomes. In markets where firms compete to provide government benefits or services directly to individuals, the most productive firms—in terms of service quality or operating costs—survive and serve the market. However, imperfect enforcement of program rules may weaken competitive pressures through non-compliance, allowing less productive firms to maintain market share. I exploit institutional features of the Lifeline program, state-level variation in regulatory environments and a one-time reform, to empirically document the importance of provider heterogeneity following a 2008 expansion of Lifeline. The presence of low-compliance providers in particular markets drives the largest state-level differences in wasteful or inefficient program spending. Qualitatively, these providers appear to select into state markets with looser enforcement of program rules. In counterfactual simulations, excluding low-compliance providers prevents 500,000 ineligible enrollments, while only reducing eligible enrollments by 100,000. Further restrictions come at a higher cost, reflecting the trade-off of compliance and competition.

Improved Teaching Learning-Based QoS-Aware Services Composition for Internet of Things

The emergence of Internet of Things (IoT) paradigm has led to a continuous increase in the number of services that have similar functionalities but different quality of service (QoS). The IoT services composition, therefore, becomes an important challenge that aims at creating added-value services by combining several services offered by thousands of smart devices in the IoT environment to meet the user's QoS requirements. In this context, an improved teaching learning-based QoS-aware services composition algorithm (ITL-QCA) is proposed to find a very close to the optimal composition in a reasonable amount of time. Unlike the evolutionary computation-based and swarm intelligence-based approaches, the proposed services composition algorithm is characterized by a few tuning parameters and a high exploration capability of the search space of compositions. This allows obtaining compositions with a high optimality in terms of QoS and without requiring some hard tuning parameters. The simulation results show clearly that the ITL-QCA algorithm performs better in terms of the composition optimality and has a reasonable execution time in a large-scale environment compared to other services composition approaches proposed in the literature.

Centralized and decentralized autonomous dispatching strategy for dynamic autonomous taxi operation in hybrid request mode

The combination of self-driving technology and taxis has a considerable potential in improving service quality and economic efficiency that can completely change traditional taxi operation. This study accordingly focuses on the autonomous taxi (aTaxi) dispatching problem in hybrid request mode where travelers can either request immediate rides or reserve taxi services ahead of time. In this study, a centralized dispatcher and decentralized autonomous dispatchers are designed to plan short-term and long-term routes for aTaxis in real time, respectively. The centralized dispatcher integrates vehicle-to-passenger assignment with empty vehicle rebalance to guarantee solution quality. Decentralized autonomous dispatchers distribute a portion of the calculation to aTaxis, thus reducing the centralized dispatcher’s workload. The dispatching strategy ensures that the response to traveler requests can be made immediately, and if such requests are accepted, the travelers will receive the expected services. Finally, experiments are conducted based on the actual road network and the trip data of Manhattan to investigate the dispatching strategy. The results confirm the high performance of the proposed dispatching strategies in terms of service quality and economic efficiency. It is also found that the increase in reservation rates can enhance the robustness of the method with respect to errors in predicted requests. Moreover, when the number of vehicles is adequate and reservations are made longer ahead of time, the completion rate of requests and the revenue improve.

A Distributed Survivable Routing Algorithm for Mega-Constellations With Inclined Orbits

Mega-constellations consisting of hundreds to thousands of low-earth-orbit (LEO) satellites are an attractive solution for providing global ubiquitous network access. Due to good coverage properties for populated areas, inclined orbits are gaining popularity among commercial constellations. A scalable routing algorithm with survivability plays a key role in such systems. In this paper, we propose a distributed survivable routing algorithm for mega-constellations with inclined orbits. First, the special topology characteristic of inclined constellations is identified and formalized. Based on the topology characterization, a basic X-Y routing algorithm is presented to determine multiple primary and secondary paths towards each destination utilizing the regularity of the network topology with minimal computation overhead. Then, a failure recovery mechanism which consists of a restricted flooding mechanism and a pre-detour mechanism is proposed to reduce end-to-end delay and signaling overhead in case of link failures. Besides, a partial-record loop avoidance mechanism is proposed to deal with routing loops with minimal overhead. Finally, a vector-based next hop selection mechanism is proposed to facilitate the selection of next hop while incorporating various criteria. The performance of the proposed routing algorithm is evaluated through simulation on the Starlink constellation. Simulation results show that our proposal achieves scalability by reducing signaling overhead and provides better quality of service in terms of end-to-end delay under link failures.

An attempt to enhance the time of reply for web service composition with QoS

The web services are the commonly prevailing service clusters of the service-oriented framework (SOA) and service related assessments. The disputes are related to the quality of service (QoS) for choosing web services freely and creating a collection of web services for carrying out trades. The ultimate aim is to choose web services based on the non-functional features and quality of service (QoS) ranks. In order to choose a web service for every process a social aspect web (SAW) scheme is employed which does not comprehensively make use of all sorts of web services. It employs the requirements of the user for ranking web service set of the applications and finally provides SAW schemes over a set of web service applicants. The mechanism helps in selecting the web services in terms of quality of services (QoS) scores and user needs. The choice of web services over varied web services based on scheme can be utilised for aggregation and organising web services resulting in optimised time of reply to the web service actions.

Energy‐efficient BBU pool virtualisation for C‐RAN with quality of service guarantees

Cloud radio access network (C-RAN) has been introduced as a promising network paradigm for improving the spectral and energy efficiency of next-generation mobile systems. In C-RAN, the computation resources of the centralised baseband units (BBUs) can be virtualised and dynamically shared among cells for energy-efficient BBU pool utilisation. In this study, a BBU virtualisation scheme is proposed to minimise the total power consumption in the BBU pool subject to constraints on users’ quality of service in terms of real-time requirements, individual fronthaul capacity and BBU capacity. As the BBU processing time and transmission delay for each user data can be compromised to meet the user's real-time requirements while minimising the BBU power consumption, a priori user association phase is proposed and formulated as an optimisation problem to maximise the users’ transmission rate, and hence minimising their transmission delay. Then, the BBU processing allocation phase is formulated as a bin-packing problem to minimise the overall power consumption in the BBU pool. Since this problem is combinatorial, a heuristic algorithm is proposed based on best-fit-decreasing algorithm to solve it. Extensive simulations show that the proposed scheme outperforms the comparable ones in terms of power consumption with reduction up to 33%.

An attempt to enhance the time of reply for web service composition with QoS

The web services are the commonly prevailing service clusters of the service-oriented framework (SOA) and service related assessments. The disputes are related to the quality of service (QoS) for choosing web services freely and creating a collection of web services for carrying out trades. The ultimate aim is to choose web services based on the non-functional features and quality of service (QoS) ranks. In order to choose a web service for every process a social aspect web (SAW) scheme is employed which does not comprehensively make use of all sorts of web services. It employs the requirements of the user for ranking web service set of the applications and finally provides SAW schemes over a set of web service applicants. The mechanism helps in selecting the web services in terms of quality of services (QoS) scores and user needs. The choice of web services over varied web services based on scheme can be utilised for aggregation and organising web services resulting in optimised time of reply to the web service actions.

SWOT analysis of minor veterinary service delivery by gopalamitras: Policy implications and future directions

The changes that veterinary services have undergone in India over the last decades are expected to continue and result in the further involvement of paravets and Animal Health workers (AHWs) for Minor Veterinary Services delivery. Gopalamitras (Animal Health Workers (AHWs) of Andhra Pradesh) performance in Minor Veterinary Services delivery remains a major concern from stakeholders ’perspective. In the light of the above context, this paper focuses on the Strengths, Weaknesses, Opportunities and Threats (SWOT) of Gopalamitras. The major strengths are highly accessible for the farmers and proactive in AI service delivery. The major weaknesses are the services are target oriented and poor attention for preventive service delivery. The major opportunities are creating strong link with AHD and untapping the potential for extension and preventive services. The major threats are lack of assessment criteria evaluation procedures for their services in terms of quality and involvement in unauthorized service delivery. These findings can be reviewed by the policy makers to strengthen and explore the capacity of AHWs as a third tier of Animal Husbandry Department in Minor Veterinary service delivery.

MOONGA: Multi-Objective Optimization of Wireless Network Approach Based on Genetic Algorithm

In high-density wireless sensor networks, the quality of service in terms of sensing coverage, connectivity, lifetime, energy consumption and cost is closely linked to the position of the nodes in the network. Consequently, the placement of a large number of nodes while simultaneously optimizing several measurements is considered to be an NP-difficult problem. In this article, we propose a new approach to optimizing the problem of node placement. To achieve this objective, we started by studying the main approaches existing in the literature in order to identify their limits. In order to have accurate solutions, existing physical models are studied, improved, and validated with real measurements. Then, we proposed a new formulation of the deployment optimization problem as a constrained multi-objective optimization problem. This allowed us to develop an optimizer, based on the multi-objective genetic algorithm and the weighted sum optimization method, which we called MOONGA (multi-objective wireless network optimization using the genetic algorithm). This optimizer makes it possible to generate an optimal deployment according to the topology, the environment, the specifications of different applications and the preferences of the network designer users. The algorithms that we have developed and implemented within the framework of experiments carried out on test data in order to prove the effectiveness of our approach. The analysis of the results found confirm well the interest and the superiority of our proposed approach compared to main studied approaches.

Competitive Advantages of Tourism Business in Arab Countries

The Arab countries tourist business is presented in the article from the point of view of com-petitive advantages selection and evaluation. Among advantages there are the presence of the seacoast or bay, favorable climatic conditions, unique natural resources, cultural and his-torical monuments, developed tourist infrastructure, a variety of tourist high level services, discounts and others. Competitive advantages can be classified as natural, economic, infra-structural and national factors and, in turn, they have an impact on the development of countries through the promotion of entrepreneurship, job creation, the maintenance of law, order and security, the preservation of cultural heritage and environment protection. The work outlines the dynamics of tourism industry indicators development in the region, assesses the tourism and hotel market attractiveness in terms of services quality, net cost, marketing and transaction costs, market share and brand awareness. It is determined that the tourism market of such countries as the UAE, Morocco, Bahrain, Qatar, Lebanon, Egypt and Jordan, can be considered as more attractive. There is a high correlation between the level of GDP and tourism competitiveness in the country. The weight of tourism in the economy is increasing in 8 countries of the region.It is shown that the key factors in the formation of tourism business competitive ad-vantages are political stability and security guarantees. The events of the "Arab spring" ex-tremely adversely affected the industry, even in those countries where there were no uprisings and civil unrest. The solution of the problem of attracting tourists to the Arab countries can be seen as ap-plication of strategies for creating and developing competitive advantages: focusing on the source of negative events, the strategy of target audience, "messages" and the transformation of liabilities into assets.

A Study of Student Satisfaction on Service Quality Servqual in Indian Management Education

The time has arrived to put more effort into improving the standard of higher education. The quality of all provided services and instruction must meet or exceed that of comparable institutions worldwide. The only way to prepare today's youth for tomorrow's workforce is to use innovative, technologically-based educational methods. The present study therefore examined a wide range of SERVQUAL model quality factors. Universities in India that provide degrees in business management have a low reputation for providing quality instruction. Previous research on evaluating service quality has been undertaken in both the engineering and humanities disciplines. The literature study, however, turned up zero studies that isolated business management degree programs in higher education. The present study addresses this gap in the literature by analyzing the interplay between several aspects of service quality and their collective influence on consumers' satisfaction. Results may be useful for stakeholders since they may help them better understand the challenges with service quality in terms of standard criteria and how this affects service quality generally. How effectively pupils are trained for the job and how far the school has come in terms of physical and intellectual facilities are also factors in this evaluation. Schools may maintain their competitiveness and long-term profitability by providing superior customer care and service, which is essential for attracting and keeping students.

Peranan Komisaris dan Direksi Bank Syariah dalam Pengelolaan Dana Zakat dan ISR (Islamic Social Responsibility) di Indonesia

Abstract Almsgiving is one of the pillars supporting the upholding of Islam as the obligation for the adherents to improve horizontal relations between fellow humans and strengthen vertical relations with Allah SWT. The implementation of Islamic Social Responsibility (ISR) of the Islamic Bank gives a positive assessment in sharia agreement, justice and equality, responsibility for work, welfare, guarantee of nature preservation and benevolent assistance that is not profit-oriented.Proper almsgiving management and ISR implementation make Islamic banks trusted by the public in terms of service quality, satisfaction and loyalty of Muzzaki. It reduces bad images, and provides relevant impacts on social welfare and the progress of the era. The data analysis used to test the hypotheses is Multiple Linear Regression analysis. The data is collected by distributing questionnaires to Commissioners and Directors at 14 (fourteen) Islamic Commercial Banks spread throughout Indonesia. The result of this study shows partially prove the role of Islamic bank commissioners in the amsgiving management only, while the importance of the role of directors in Islamic banks in almsgiving management and the implementation of ISR partially. Keywords: Islamic Bank, Commissioners, Directors, Almsgiving and ISR

Micro Analysis of Two-Wheeler Service in Terms of Service Quality in India With Reference to Dakshina Kannada District of Karnataka

Micro Analysis of Two-Wheeler Service in Terms of Service Quality in India With Reference to Dakshina Kannada District of Karnataka

A Study of Healthcare Reform in China in Light of the USA and Canadian Systems

This article describes and examines the newly implemented basic medical insurance system for urban employees in China. The insurance system was built on two distinct concepts, individual providence and social insurance, and was characterized by national government mandates, local government administration, and employer/employee contributions. The study found that the Chinese basic medical insurance program for urban employees was implemented in all major urban areas. About 130 million people were covered under the scheme as of May 2005. The program benefits are limited with relatively low ceilings on reimbursable expenses and high cost sharing from the insured. The procedure for reimbursement is complicated and time consuming. China can learn from the U.S. and Canadian systems in both financing and providing healthcare. The U.S. system arguably supplies the best medical services in terms of quality and accessibility for those who are insured and those who can pay out of pocket. But the huge costs may not work well with China at present. The Canadian system, which is relatively effective, efficient, and equitable, although not as accessible, may fit China better. The study also suggests that the U.S. employer-based healthcare insurance system requires a major overhaul. It puts U.S. companies at a disadvantaged position in the increasingly competitive global marketplace.

Plate Wastage and the Service Quality of the Cafeteria in a Private High School

Millions of people in the world are suffering from scarcity of food, yet tons of food are wastedevery day. This study was conducted to determine the food wastage of high school studentsand the service quality of a cafeteria located in Silang, Cavite. Convenience sampling wasutilized to select high school students enrolled in the school where the cafeteria is situated toparticipate in the study. A descriptive-evaluative research design was used and data gatheredwere analyzed using descriptive statistics such as frequency, mean, and standard deviation.Quarter waste method was used to measure plate wastage while adopted questionnaire wasused to determine the service quality of the cafeteria. Findings revealed that the highestpercentage of food wastage was gluten followed by ground vegescallop, vegemeat, tofu, andbeans. In terms of service quality, the lowest percentage was the dining area (Mean= 2.95 andSD= 0.80), followed by Food Quality (Mean=3.44 and SD= 0.80), Food Variety (Mean= 3.76and SD= 0.61), Personnel employees’ service (Mean= 3.80 and SD= 0.79), and Serving time(Mean= 3.85 and SD= 0.80). Among the five protein foods that incurred a leftover, gluten hasthe highest percentage of waste while among the five factors contributing to the service qualityof a cafeteria, dining area has the lowest percentage. Based on the results, the use of gluten aspart of the meal and the dining area as a place to eat should be improved to lessen the foodwastage and enhance the service quality, respectively.

Unique New York? Theorizing the Impact of Resources on the Quality of Defense Representation in a Deviant State

Litigation in New York State has resulted in the allocation of substantial new funding to limit indigent defense caseloads and improve representation provided to criminal defendants. Funding injections have rarely been studied in defense, however, so it is not clear what will be the effects of the new resources. Defense critics expect their impact to be transformative, but empirical scholarship is more pessimistic. We sort between these perspectives using exploratory interviews with the individuals most critical to the planned reforms: executive-level chief public defenders. Conceptualizing defense service quality in terms of “public value,” we find points of deviation from both the optimistic and pessimistic accounts. New York is a “deviant case,” we argue, which can be used to break new theoretical and empirical ground around the question of how resources impact defense service quality.

Arrival Probability Based Parking Algorithm for Elevator Group Control Systems

A main concern in elevator group control system (EGCS) is quality of service in terms of average passenger waiting time. If no parking algorithm is applied, when an elevator enters an idle state, it remains at its current floor. An additional enhancement for the system can be using parking algorithms and sending idle elevators to park floors to reduce passenger waiting times. In elevator traffic, passengers are considered in three groups according to their travel intentions as incoming, inter-floor and outgoing passengers. Traffic components representing the ratios of these groups are major factors in determining traffic pattern. Overall passenger arrival probabilities can be described by weighted sum of incoming, inter-floor and outgoing arrival distributions with corresponding traffic components. Then, arrival probabilities can be used to obtain a general adaptive parking algorithm. In this study we propose a parking algorithm for EGCS based on arrival probabilities and investigate average waiting time under varying traffic conditions.

A Study of Healthcare Reform in China in Light of the USA and Canadian Systems

This article describes and examines the newly implemented basic medical insurance system for urban employees in China. The insurance system was built on two distinct concepts, individual providence and social insurance, and was characterized by national government mandates, local government administration, and employer/employee contributions. The study found that the Chinese basic medical insurance program for urban employees was implemented in all major urban areas. About 130 million people were covered under the scheme as of May 2005. The program benefits are limitedwith relatively low ceilings on reimbursable expenses and high cost sharing from the insured. The procedure for reimbursement is complicated and time consuming. China can learn from the U.S. and Canadian systems in both financing and providing healthcare. The U.S. system arguably supplies the best medical services in terms of quality and accessibility for those who are insured and those who can pay out of pocket. But the huge costs may not work well with China at present. The Canadian system, which is relatively effective, efficient, and equitable, although not as accessible, may fit China better. The study also suggests that the U.S. employer-based healthcare insurance system requires a major overhaul. It puts U.S. companies at a disadvantaged position in the increasingly competitive global marketplace.