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The traditional human resource management mode is inefficient, the management process is not standardized, the management cost is high. With the development of modern information technology, all walks of life management model and values have been hit. Especially for modern enterprises, the application of modern information technology plays an important role in changing the traditional human resources...
The increasing automation and capacity of communication of industrial systems brings new possibilities and challenges to the sector. We investigate a problem of distributed and collective supply and discuss solutions to the issue of fair and reliable decision making in open systems. By combining principles of social organisation with blockchain and smart-contract technologies, we show that it is possible...
In the paper, existence and coalitional stability problems for Walras equilibrium in the models of multiregional economic systems are considered. Here, we continue investigations on extremal characterization of equilibrium allocations in non-classic market being a modification of the well-known Arrow-Debreu model. It is shown that strict autarchy and non-satiation conditions guarantee coincidence...
The success and sustainability of the Open Educational Resources (OER) movement depends to a large extent on large-scale participation in the use and production of educational resources. The aim of this paper was to explore faculty staff knowledge and behaviors about OER with a focus on resource sharing attitudes. The study was conducted at the School of Informatics of the National University of Costa...
Many resource management systems and large-scale data processing frameworks use a reservation-based model for managing resources and scheduling tasks. We observe from the reported traces of Facebook and Google that this model leads to resource being wasted because the tasks do not use effectively the allocated resources. We confirm the problem with a trace of our production cluster. We propose an...
Abstract-In this paper, we present PYTHIA, deadline-awareadmission control for systems that execute jobs from multiple bigdata (batch) frameworks using shared resources. PYTHIA addssupport for deadline-driven workloads in resource-constrainedcloud settings, for use by resource negotiators such as ApacheMesos or YARN. PYTHIA uses histories of job statistics toestimate the minimum number of CPUs to...
This paper studies how the efficiency of an online platform is impacted by the degree to which access of platform participants is open or controlled. The study is motivated by an emerging trend within platforms to impose increasingly finegrained control over the options available to platform participants. While early online platforms allowed open access, e.g., Ebay allows any seller to interact with...
Fair and efficient coflow scheduling improves application-level networking performance in today's datacenters. Ideally, a coflow scheduler should provide isolation guarantees on the minimum coflow progress to achieve predictable networking performance. Network operators, on the other hand, strive to decrease the average coflow completion time (CCT). Unfortunately, optimal isolation guarantees and...
The hydropower plants have been one of the most important points in the secure operation of the system in the last period. The massive introduction of the renewable energy sources with a variable production, determined the hydropower plants to become a major player in the power system control, helping stabilize fluctuations between demand and supply. The availability, flexibility and reliability of...
Prior work in the Cloud domain has mainly focused on evaluating systems using synthetic workloads. Nonetheless, synthetic workloads are not always an accurate depiction of the real-world as they have been generated based on assumptions and statistical distributions that are not representative of the actual traffic that flows from the applications and microservices to the lower layers of the Cloud...
Assessing the efficiency of hospitals is a critical research problem in the health care sector. In this paper, we employ the data envelopment analysis (DEA) method to integrate multiple inputs (beds, physicians, nurses, staffs) and multiple outputs (patients, discharges, surgeries, revenue) to develop efficiency measures of the hospitals. In addition, we derive the case-mix index to incorporate information...
Over-booking cloud resources is an effective way to increase the cost efficiency of a cluster, and is being studied within Microsoft for the Azure SQL Database service. A key challenge is to strike the right balance between the potentially conflicting goals of optimizing for resource allocation efficiency and positive user experience. Understanding when cloud database customers use their database...
Choosing suitable buffer setups for network-flow production lines of automated manufacturing systems to augment throughputs is a pragmatic issue. In this work, an approach merging artificial immune system (AIS) and ordinal optimization (OO) is developed to determine an optimal buffer resource allocation of a network-flow production line for maximizing the throughput. The proposed approach consists...
Today's Challenge for many manufacturing companies is how to improve product quality and reduce the production cost of the products offered in the market. Quality improvement must be performed by a company to maintain its product's competitiveness in the market. Quality improvement and cost reduction can be performed by allocating investments to reduce the value of the variance in the component of...
The coupling of process control and production scheduling will grow tight in future fab and products. Such a trend requires integration to reduce fab cost and to improve fab effectiveness in terms of product yield and throughput performance. By focusing on the individual tool productivity, this research proposes Generalized Overall Equipment Effectiveness (GOEE). The generalization first develops...
The aggregation of renewable energy has significant potential to mitigate undesirable characteristics such as intermittency and variability and thereby facilitate grid integration. Using cooperative game theory, it has been shown that aggregation is also beneficial for renewable energy producers because they can increase their expected profit by making a coalition, bidding a joint contract that maximizes...
Improving customer satisfaction is important in order to create a good relationship between a company and its customers which will give benefit to both sides. One way to accomplish it is by conducting quality improvement. Quality improvement has a strong relationship with the customer satisfaction, so it is an important issue in manufacturing. This paper discusses an optimization model to allocate...
InfiniBand is the de facto networking technology for commodity HPC clusters and has been widely deployed. However, most production large-scale InfiniBand clusters use simple routing schemes such as the destination-mod-k routing to route traffic, which may result in degraded communication performance. In this work, we investigate using the OpenFlow-style Software-Defined Networking (SDN) technology...
Optimizations, transformations and analyses are applied to programs by compilers at the intermediate representation level, which usually does not include explicit variable declarations. This description level is fine for middle-ends and for source-to-source optimizers of simple languages. Meanwhile, the C language has become much more flexible since the C99 standard, and let variable and type declarations...
Mobile communication system is the most widely used wireless communication system, the electromagnetic spectrum environment increasingly complex today, network optimization as a constraint to the performance of mobile communication systems an essential factor. Rational allocation of mobile communication system network optimization resources due to lower operating costs and improve business efficiency,...
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