A load balancing algorithm for web based server grids

Load balance is a critical issue in distributed systems, such as server grids. In this paper, we propose a Balanced Load Queue (BLQ) model, which combines the queuing theory and hydro-dynamic theory, to model load balance in server grids. Base on the BLQ model, we claim that if the system is in the state of global fairness, then the performance of the whole system is the best. We propose a load balanced algorithm based on the model: the algorithm tries its best to keep the system in the global fairness status using job deviation. We present three strategies: best node, best neighbour, and random selection, for job deviation. A number of experiments are conducted for the comparison of the three strategies, and the results show that the best neighbour strategy is the best among the proposed strategies. Furthermore, the proposed algorithm with best neighbour strategy is better than the traditional round robin algorithm in term of processing delay, and the proposed algorithm needs very limited system information and is robust.

A feasible IP traceback framework through dynamic deterministic packet marking

DDoS attack source traceback is an open and challenging problem. Deterministic packet marking (DPM) is a simple and effective traceback mechanism, but the current DPM based traceback schemes are not practical due to their scalability constraint. We noticed a factor that only a limited number of computers and routers are involved in an attack session. Therefore, we only need to mark these involved nodes for traceback purpose, rather than marking every node of the Internet as the existing schemes doing. Based on this finding, we propose a novel marking on demand (MOD) traceback scheme based on the DPM mechanism. In order to traceback to involved attack source, what we need to do is to mark these involved ingress routers using the traditional DPM strategy. Similar to existing schemes, we require participated routers to install a traffic monitor. When a monitor notices a surge of suspicious network flows, it will request a unique mark from a globally shared MOD server, and mark the suspicious flows with the unique marks. At the same time, the MOD server records the information of the marks and their related requesting IP addresses. Once a DDoS attack is confirmed, the victim can obtain the attack sources by requesting the MOD server with the marks extracted from attack packets. Moreover, we use the marking space in a round-robin style, which essentially addresses the scalability problem of the existing DPM based traceback schemes. We establish a mathematical model for the proposed traceback scheme, and thoroughly analyze the system. Theoretical analysis and extensive real-world data experiments demonstrate that the proposed traceback method is feasible and effective.

GTES: An optimized game-theoretic demand-side management scheme for smart grid

Demand-side management in smart grids has emerged as a hot topic for optimizing energy consumption. In conventional research works, energy consumption is optimized from the perspective of either the users or the power company. In this paper, we investigate how energy consumption may be optimized by taking into consideration the interaction between both parties. We propose a new energy price model as a function of total energy consumption. Also, we propose a new objective function, which optimizes the difference between the value and cost of energy. The power supplier pulls consumers in a round-robin fashion and provides them with energy price parameter and current consumption summary vector. Each user then optimizes his own schedule and reports it to the supplier, which, in turn, updates its energy price parameter before pulling the next consumers. This interaction between the power company and its consumers is modeled through a two-step centralized game, based on which we propose our game-theoretic energy schedule (GTES) method. The objective of our GTES method is to reduce the peak-to-average power ratio by optimizing the users' energy schedules. The performance of the GTES approach is evaluated through computer-based simulations. © 2014 IEEE.

Experimentation and self learning in continuous database marketing

We present a method for continuous database marketing that identifies target customers for a number of marketing offers using predictive models. The algorithm then selects the appropriate offer for the customer. Experimental design principles are encapsulated to capture more information that will be used to monitor and refine the predictive models. The updated predictive models are then used for the next round of marketing offers.

Comparison of multifactor productivity indicators for real estate sectors using the OECD input-output database

"Research on the international comparison of productivity has gained significant interest throughout several previous decades. Relatively little work has however been done in the real estate sector. This paper aims to develop a new productivity measurement framework for the international comparison of the real estate sector based on the newly-published OECD input-output database. Three multifactor productivity indicators are formulated using the ratio of the sectoral final demand to value added, the intermediate output to intermediate input and the total output to total input effect respectively in the input-output table. Historical analyses and comparisons are also carried out to indicate the differences of productivities of the real estate sectors in seven selected countries. Findings can improve the understanding of how technological, organisational and policy influences combine to affect productivity growth and aid the policy makers, real estate agencies and researchers in evaluating the competitive ability of the real estate sector."

Multifactor productivity measures of construction sectors using OECD input-output database

This research develops a new productivity measurement framework for the construction sector in the light of an input-output table. Three group multifactor productivity indicators are formulated based on the multiplier concepts in the input-output analysis. This measurement framework focuses on the intro-industry flows of products and considers the direct and indirect effects of input and output. Moreover, this framework enables us to measure the multifactor productivity of a specific sector systematically. Historical analyses and international comparisons are carried out to indicate the differences of the productivity of the construction sectors in seven selected countries, using the newly published OECD input-output database. Research findings are expected to clarify how technological, organizational and political factors affect the productivity growth, enabling the policy makers, construction businesses and researchers to quantify the competitive ability of the construction sector.

Redefining brand salience using memory theory and implications for measurement

The concept of brand salience, or brand accessibility in memory, has been prevalent in the area of brand research for several decades. Brand salience has been driven by memory theory and psychological research, but debate has continued over the structure of memory systems, the way in which consumers undertake memory search, and what they do with brand information once it is retrieved. With the rise to prominence of brand equity, brand salience has been subsumed into the awareness category, as an operationalisation of recalling information. This paper looks at redefining brand salience and proposes new methods for measuring brand salience.

The measurement of attribution of blame in the self-service technology context

It is argued that attribution of blame (AoB) will differ in the Self-Service Technology (SST) context versus the interpersonal services context, due to the inherent elements of the SST environment, thereby making it a construct worthy of further research in the SST setting. This paper presents a first step in this pursuit by validating a multiple-item instrument of AoB in the SST context, which, to the researchers’ knowledge, has not been done previously. The paper comments on the surprising lack of valid, unidimensional instruments to measure each of the dimensions of AoB (locus, controllability and stability), even in the interpersonal services context. Preliminary results of a pre-test and pilot study support a three-dimensional measurement model of attribution of blame, in the SST setting.

A systemic approach to the database marketing process

The role of database marketing (DBM) has become increasingly important for organisations that have large databases of information on customers with whom they deal directly. At the same time, DBM models used in practice have increased in sophistication. This paper examines a systemic view of DBM and the role of analytical techniques within DBM. It extends existing process models to develop a systemic model that encompasses the increased complexity of DBM in practice. The systemic model provides a framework to integrate data mining, experimental design and prioritisation decisions. This paper goes on to identify opportunities for research in DBM, including DBM process models used in practice, the use of evolutionary operations techniques in DBM, prioritisation decisions, and the factors that surround the uptake of DBM.

The measurement of the number, uniqueness, and valence of brand associations across three product categories

The research reported in this paper investigated the measurement of brand associations across three product categories. Brand associations had not been tested previously across all three categories of fast-moving consumer good, service, and durable in the one study. A free association method was used to generate brand associations for a fast-moving consumer good (shampoo), a service (banks) and a durable good (cars). The findings indicate that the first brand a respondent recalled has the greatest number of positive, unique and total brand associations. In addition, the findings indicated that durable goods have the highest number of associations, and the greatest number of unique and favourable brand associations. Further, banks and financial services had the fewest positive associations, which may have reflected attitudes to banks at the time of the research. These findings have implications for the manner in which respondents use information to recall brands, and how they process brand information when faced with a cue. Respondents use a depth and breadth of brand associations to generate brand information.

A measurement framework for international entrepreneurship policy research : from impossible index to malleable matrix

The Global Entrepreneurship Monitor (GEM), a multifaceted, multinational research programme now in its seventh year of field operation, currently dominates the field of international entrepreneurship policy research but faces a crisis of credibility. Despite having created and continuing to develop a very rich database capable of addressing many of the complexities requisite for understanding entrepreneurship at the national and international levels of analysis, GEM has chosen to disguise the depths of its potential research and policy utility through a misnamed quest for unobtainable simplicity at the centre of the project and a disorganised variety of report presentations at the periphery. Subsequent to a review of the entrepreneurial definitional literature and a resolution of its many themes into six components of entrepreneurial activity, based on Penrose's (1959/1995) articulation of the practical meaning of 'entrepreneurial services', this paper suggests that a 'malleable matrix' approach can provide a practical measurement framework capable of reporting national entrepreneurial activity in a structure that is comprehensive without being overwhelming.

Development and measurement properties of a putting skill test for high-level golf

Despite a recent increase in the amount of research investigating performance in golf, a comprehensive putting skill test has not been reported in the peer-reviewed literature. In this study, the Golf Australia Putting Test (GAPT) was developed and a series of measurement properties were assessed. Elite (n = 18) and high-level amateur (HLA; n = 22) participants completed six single putts from various areas on six concentric circles (circle radii = 0.9, 1.5, 3.0, 4.6, 6.1 and 7.6 m). Using a scoring system that rewarded participants for holing putts from longer distances, the maximum score from a single round of the test (i.e. 36 putts) was 27 points. After two rounds of the test were completed by all players, a subsample of participants (elite, n = 15; HLA, n = 7) had their putting performance recorded during tournament play for a period of 90 days to assess criterion (predictive) validity of the test. The reliability, sensitivity and discriminative validity of the GAPT were also assessed. Better agreement between Rounds 1 and 2 scores was noted in the elite group, whilst reliability values were similar for both groups. Further, the GAPT scores were shown to predict players from the elite and high-ability groups with a low classification error. An equation for predicting on-course performance from GAPT scores was also developed. Findings from this study indicate that the GAPT is a valid and reliable tool for high-level players and the GAPT may be used for player evaluation in the field.

A computerized method for objective measurement of muscle tone

This article is concentrated on the objective computerizing method of measuring of muscle tone using compressive and decompressive deformation of superficial skeletal muscle of wrist in vivo. Four indices were highly recommended for complex analysis of muscle tone.

Report on the second Wool ComfortMeter round trial

The present report analysed the variance between instruments and estimated the measurement precision of the Wool ComfortMeter instrument by conducting an international round trial. The firstinternational round trial was conducted in 2014; however the calculated precision estimates were relatively large. In the present trial, instruments were standardised by harmonising parameters such as wire height and measuring length, and a new calibration method was used to improve the measurement precision. The data from five laboratories, measuring ten fabric-samples and 5 sub-samples per fabric sample, was used to estimate the components of variance and the prickle measurement precision. The results showed good agreement between laboratory measurements. Analysis of the data shows an improvement in the 95% confidence limit for this round trial compared to the first round trial. Particularly, relatively smaller confidence limits were found for low prickle measurements. It is recommended that the new precision estimates be incorporated into the IWTO DTM-66:2014.