Placement Mechanism Research Articles

Konsep Manajemen Layanan Penempatan dan Penyaluran dalam Bimbingan dan Konseling

Placement and channeling service management in guidance and counseling is a systematic approach that aims to help individuals find the right path in education, career, and social life. This concept involves several key components, including identification of counselee needs, evaluation of potential, and development of an appropriate placement plan. The method used in this research is qualitative with a type of literature study with activities that include searching, reviewing, reading books or journals relevant to the research. The main purpose of this service management is to facilitate the transition process of individuals from education to the world of work, as well as support their personal development. This involves collaboration between counselors, educational institutions, and industry to ensure that clients receive the necessary information and resources. The findings of this study are to discuss (1) Definition of placement and channeling services, (2) Forms of placement and channeling services, (3) Mechanisms of placement and channeling services, (4) Purpose of placement and channeling services, and (5) Assessment of counseling guidance in placement and channeling services. The purpose of this research is to describe and explain the management of placement and channeling services.

HMLB: Holonic multi-agent approach for preventive controllers load-balancing in SDN-enabled smart grid

Smart grid networks present advantages like improving reliability, security, scalability, etc. However, designing an efficient communication infrastructure for smart grid networks is a great challenge. This is because of its dependency on proprietary protocols and specific vendors. Software-defined-enabled smart grid (SDN-SG) tackles this problem by incorporating diverse protocols and standards including open source platforms. One of the most important questions in Software-defined Networking (SDN) is the controller placement problem being NP-Hard in nature. Therefore, the predominant goal of this paper is to diminish the time complexity by modeling the controller placement problem based on the holonic multi-agent system. The hierarchical structure of a holonic organization improves the computational complexity through the divide and conquer mechanism. Such an idea also decreases the distributed controllers' synchronization overhead which is an issue in the realm of SDN. On the other hand, the proper functioning of the smart grid has a strict dependency on time-critical services. Accordingly, the controller placement is supposed to be a Quality of Service-aware (QoS-aware) one. Also, intermittent topology changes in the smart grid and the occasional joining and leaving of members result in an unsteady traffic pattern and dynamicity of controller load. This research is a pioneer in providing a QoS-aware and dynamic controller placement mechanism for SDN-SG. Experimental results certify the preponderance of the approach over similar ones concerning computational complexity, packet loss, controllers’ synchronization overhead, and also load-balancing overhead.

A learning-based data and task placement mechanism for IoT applications in fog computing: a context-aware approach

A learning-based data and task placement mechanism for IoT applications in fog computing: a context-aware approach

Meningkatkan Literasi Keuangan Dengan Memperkenalkan Akuntansi Dasar Pada Siswa SMA Negeri 1 Demon Pagong

The aim of community service (PKM) is to increase students' financial literacy through training and mentoring by providing Basic Accounting material. The material presented is the basic equation of accounting and financial reports. The form of presenting the material is conveying concepts and followed by practical work on solving case study questions. There is also additional material in the form of an introduction to Spreadsheets/Excel computers (accounting data). The material presented is a suggestion from the service partners considering that students do not fully understand this material in class learning and this material is important for participants, because according to data on accounting learning results for class XII IIS for the odd semester of the 2023/2024 academic year, it has only reached 87%. Participants are class XI students of SMA Negeri 1 Demon Pagong whose address is Jalan Pati Beda, Demon Pagong District, East Flores Regency. Methods for implementing activities include 1) Training, namely presenting material on basic accounting concepts and financial reports. 2) Mentoring, namely assisting participants in completing case study questions based on the concepts that have been presented. 3) Evaluation, namely using an instrument in the form of practice questions on preparing financial reports, then the results are analyzed using qualitative analysis to determine students' financial literacy related to participants' understanding of accounting learning, both in the basics of accounting and financial reports. The results show that the average score obtained by students in preparing financial reports is around 75-85. This indicates that students' understanding of the material and assistance regarding the basics of accounting to financial reports reached 80%. Participants who experience difficulties in preparing financial reports are due to incorrectly calculating the nominal amount in the account because there are too many numbers and the calculations are done manually, they easily forget accounts and their placement mechanisms, they have difficulty identifying the elements included in the financial reports and they lack interest in studying accounting.

Efficient placement technology of proppants based on structural stabilizers

Fiber is highly escapable in conventional slickwater, making it difficult to form fiber-proppant agglomerate with proppant and exhibit limited effectiveness. To solve these problems, a novel structure stabilizer (SS) is developed. Through microscopic structural observations and performance evaluations in indoor experiments, the mechanism of proppant placement under the action of the SS and the effects of the SS on proppant placement dimensions and fracture conductivity were elucidated. The SS facilitates the formation of robust fiber-proppant agglomerates by polymer, fiber, and quartz sand. Compared to bare proppants, these agglomerates exhibit reduced density, increased volume, and enlarged contact area with the fluid during settlement, leading to heightened buoyancy and drag forces, ultimately resulting in slower settling velocities and enhanced transportability into deeper regions of the fracture. Co-injecting the fiber and the SS alongside the proppant into the reservoir effectively reduces the fiber escape rate, increases the proppant volume in the slickwater, and boosts the proppant placement height, conveyance distance and fracture conductivity, while also decreasing the proppant backflow. Experimental results indicate an optimal SS mass fraction of 0.3%. The application of this SS in over 80 wells targeting tight gas, shale oil, and shale gas reservoirs has substantiated its strong adaptability and general suitability for meeting the production enhancement, cost reduction, and sand control requirements of such wells.

SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement

Dynamic graphs are essential in real-world scenarios like social media and e-commerce for tasks such as predicting links and classifying nodes. Temporal Graph Neural Networks (T-GNNs) stand out as a prime solution for managing dynamic graphs, employing temporal message passing to compute node embeddings at specific timestamps. Nonetheless, the high CPU-GPU data loading overhead has become the bottleneck for efficient training of T-GNNs over large-scale dynamic graphs. In this work, we present SIMPLE, a versatile system designed to address the major efficiency bottleneck in training existing T-GNNs on a large scale. It incorporates a dynamic data placement mechanism, which maintains a small buffer space in available GPU memory and dynamically manages its content during T-GNN training. SIMPLE is also empowered by systematic optimizations towards data processing flow. We compare SIMPLE to the state-of-the-art generic T-GNN training system TGL on four large-scale dynamic graphs with different underlying T-GNN models. Extensive experimental results show that SIMPLE effectively cuts down 80.5% ~ 96.8% data loading cost, and accelerates T-GNN training by 1.8× ~ 3.8× (2.6× on average) compared to TGL.

Temporary placement of a child in the family of an actual caregiver as a from of children`s placement

Ensuring the rights and well-being of the child is one of the main priorities of modern society. As Ukrainian and foreign legislation states that every child has the right to a family. However, due to different life circumstances, unfortunately, not every child has the opportunity to live in a family with their parents. That is why the question arises, how to ensure the realization of all the rights of a child who has lost his parents, or whose parents have given up their child. In this way, the institution of placement of a child was born. To date, Ukrainian legislation distinguishes such forms of placement of children as foster family, guardianship and care, adoption, family-type orphanage, placement in the family of relatives, acquaintances. All of these forms of placement have a clear procedure for placing a child in a family and a legal mechanism for regulating the rights and responsibilities of the person who took the child into their family, as well as the rights and responsibilities of the child. Each case of placement of children is unique and requires a specialized approach taking into account specific situations, circumstances and needs of the child. However, one form of placement should be singled out, such as placement of a child in the family of an actual caregiver. It is this form that has shown itself to be the most unexplored and at the same time convenient, first of all for a child. However, the problem of legislative implementation of temporary placement of a child by the actual guardian remains unsolved, since the existing legislation quite briefly describes the mechanism of such placement. This form of placement requires clear regulation from the side of the legislation, because the legal mechanism of placement of a child in the family of an actual tutor, the rights and obligations of the actual tutor and the pupil himself need to be researched. The article examines the advantages and disadvantages of such a temporary form of placement of a child as placement in the family of an actual tutor.

Driving force of value reversal in Chinese overleveraged firms: The mechanism and path of private placement.

To stimulate economic growth, China has launched multiple economic stimulus plans in recent years, intensifying corporate debt financing and subsequently elevating the leverage levels. Addressing and effectively reducing the leverage levels of our country's enterprises has emerged as a pressing issue in the trajectory of our economic development. This paper primarily investigates the drivers, pathways, and mechanisms for reversing the over-leveraged values of enterprises. Key findings include: (1) Excessive indebtedness exerts a negative impact on corporate value, with the suppressing effect intensifying as the degree of over-leverage increases; (2) Over-leveraged enterprises can effectively decrease their debt levels and enhance their value through private placement. Further research suggests that this mechanism operates by amplifying the operational leverage of over-leveraged enterprises post private placement and alleviating financing constraints, thereby elevating corporate value. (3) Compared to non-state-owned enterprises, state-owned enterprises exhibit higher levels of indebtedness. Among over-leveraged firms, enhancements in corporate governance and increased investment efficiency can positively transform corporate value. This study offers valuable insights for the ongoing supply-side structural reforms and governance guidance from the regulatory bodies.

An efficient mechanism for function scheduling and placement in function as a service edge environment

With the advancement of Internet of Things (IoT) applications and the substantial surge in associated traffic, coupled with the rise in demand for low-latency mobile applications, the utilization of remote cloud computing infrastructure has encountered notable challenges. As a solution, edge computing has emerged, decentralizing computational resources closer to data sources. This results in quicker processing and diminished reliance on distant servers. To address resource limitations and prevent congestion in edge servers, applications are now being developed as smaller, modular components, referred to as the Function as a Service (FaaS) pattern. FaaS brings advantages such as distributing the workload across multiple edge servers and offering improved flexibility in resource management. However, the FaaS model introduces new challenges when compared to the traditional edge computing environment. These include issues like function placement and minimizing cold start delays. Assignment mechanisms play a crucial role in characterizing the interactions between edge servers and user devices. They excel at devising optimal allocation strategies and ensuring mutual satisfaction between edge servers and user devices, especially in scenarios with limited resources. This article introduces the Edge FaaS-Top Trading Cycles (EF-TTC), an efficient mechanism for implementing FaaS-based applications within the edge platform. The proposed approach models the problem of function placement and scheduling in a manner akin to the well-known School Choice problem. It subsequently employs the Top Trading Cycle mechanism to address this challenge. Experimental results demonstrate that the proposed approach significantly improves the average completion time for users’ requests, outperforming other baseline algorithm in this domain.

Modeling Retention Errors of 3D NAND Flash for Optimizing Data Placement

Considering 3D NAND flash has a new property of process variation (PV) , which causes different raw bit error rates (RBER) among different layers of the flash block. This paper builds a mathematical model for estimating the retention errors of flash cells, by considering the factor of layer-to-layer PV in 3D NAND flash memory, as well as the factors of program/erase (P/E) cycle and retention time of data. Then, it proposes classifying the layers of flash block in 3D NAND flash memory into profitable and unprofitable categories, according to the error correction overhead. After understanding the retention error variation of different layers in 3D NAND flash, we design a mechanism of data placement, which maps the write data onto a suitable layer of flash block, according to the data hotness and the error correction overhead of layers, to boost read performance of 3D NAND flash. The experimental results demonstrate that our proposed retention error estimation model can yield a R 2 value of 0.966 on average, verifying the accuracy of the model. Based on the estimated retention error rates of layers, the proposed data placement mechanism can noticeably reduce the read latency by 29.8 % on average, compared with state-of-the-art methods against retention errors for 3D NAND flash memory.

Placement is Everyone’s Business: A Love Letter to Our SSP Coalition

In this introduction to the special issue, the co-editors offer the umbrella term "methods of student self-placement" (SSP) to refer to any placement mechanism that includes student choice so that we can further build theoretical apparatus, gather much-needed empirical data, and subsequently flesh out meaningful differences in approaches. They argue that just as SSP asks us to rethink the mission of first-year writing, it also asks us to rethink some of the divisions in Writing Studies because placement work is meaningful across the university. Ultimately, they conclude that SSP isn't an easy fix for systemic problems in higher education, but it is powerful in fully acknowledging the complexity of placement and meeting students' diverse learning needs. 

A self-stabilizing and auto-provisioning orchestration for microservices in edge-cloud continuum

Modern user-facing services are progressively evolving from large monolithic applications to complex graphs of loosely-coupled microservices. While this shift provides opportunities to offload some microservices of a user-facing service to edge devices that are close to the end users, it also complicates the application deployment and resource provisioning in the edge-cloud continuum, due to complex relationships across microservices and unstable public networks. To reduce resource wastage and improve user experience, this paper presents SMO, a self-managed orchestration system for microservices. SMO leverages a self-stabilizing placement mechanism to optimally deploy microservices through perceiving both interferences and communication overheads. During runtime, it further tailors a multi-agent deep deterministic policy gradient (MADDPG)-based model in combination with attention and prioritized replay, which automatically provisions appropriate resources for each microservice subject to the differentiated tail latency Service Level Objectives (SLOs) of multiple user workloads. Experimental results demonstrate that SMO saves up to 39% of CPU cores and 47% of memory footprint while providing guarantees for heterogeneous tail latency SLOs.

Реформирование системы силовых органов в СССР при Н.С. Хрущеве и его отражение советской интеллигенцией в киноискусстве

This article is devoted to the analysis of the results of reforming the system of law enforcement agencies of the USSR under N. S. Khrushchev, as well as to the understanding of their image by the Soviet intelligentsia in film art. The study expands our knowledge of how the key institutions of the Stalinist socio-political regime (security and law enforcement agencies, judicial and penitentiary systems, as well as the Armed Forces) were disman-tled and modernized in 1953–1964. and what kind of their image was constructed by the Soviet creative intelli-gentsia in cinema, which had a broad impact on the mass consciousness of Soviet people. The study is meth-odologically based on the provisions of institutional theory, the theory of bureaucracy, the theory of civil-military relations and the theory of the new class. The analysis carried out in the work allows us to conclude that the preservation of the system of party leadership of law enforcement agencies, mechanisms for the nomenklatura placement of management personnel and the command-administrative model of management determined the incomplete nature of the modernization of the system of ensuring national security and law enforcement under N. S. Khrushchev. The contradictory nature of Soviet security institutions, in which patriotism and decency coexisted with betrayal and lawlessness, is reflected in cinema.

Subswarm-guided ant colony optimization with enhanced pheromone update mechanism and beam search for VNF placement and routing

Network Function Virtualization (NFV) is a novel technology that enables flexible and cost-effective networks by replacing the hardware-based middleboxes with software run on virtual machines called virtual network function (VNF). In NFV, each Service Function Chain (SFC) is required to be a set of ordered VNF from that must be optimally located across servers/distributed data centers. This paper studies the multi-objective virtual network function placement and routing problem (MO-VNFPR), which involves placing VNFs optimally in servers nodes and assigning server resources efficiently to these VNFs to satisfy user’s requests in the networks. Most existing methods for this problem only handled one requests or considered VNF placement and SFC routing separately. In this paper, we consider MO-VNFPR with two objectives: (i) minimize the overall cost by deploying servers and installing VNFs; (ii) reduce the network delay. A metaheuristic called subswarm-guided ant colony optimization (named SgACO) is introduced to efficiently solve MO-VNFPR. In SgACO, a subswarm-guided mechanism is adopted to satisfy requests at once by reorganizing the ant colony into subswarms. Moreover, an enhanced pheromone update mechanism and beam search are developed to investigate the search space efficiently. Experimental simulations on COGENT, CONUS, and NSF network topologies demonstrate that our algorithm achieves competitive results and performs better against other existing algorithms.

Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications

Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications

Time as a “Built-In Headwind”: The Disparate Impact of Portfolio Cross-assessment on Black TYC students

This study of a departmental portfolio cross-assessment practice sheds light on factors that appear to influence assessment outcomes for Black students and helps to tease out some of the reasons why this assessment ecosystem has a disparate impact on these students. The findings, drawn from student outcomes data and student survey data,  suggest that it isn’t only, or even primarily, Black students’ linguistic variety that lead to higher failure rates. The writing qualities most commonly flagged on Black students’ failing portfolios are likely related to the very different material conditions in which they write their papers. These conditions challenge the framing of “time” and “labor” as neutral, non-racially-inflected resources to which all students have equal access and which are not often conceptualized as part of the construct of writing ability. As TYCs across the country reform their placement mechanisms for greater access and equity and place more and more students of color into their credit-bearing FYC 1 courses, we have an ethical obligation to watch for disparate impact created by our pre-existing assessment ecosystems.

A multi-objective QoS-aware IoT service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment

A multi-objective QoS-aware IoT service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment

Distributed and multi‐layer hierarchical controller placement in software‐defined satellite‐terrestrial network

AbstractAiming at the controller placement in software‐defined satellite‐terrestrial network, a distributed and multilayer hierarchical controller placement mechanism is proposed to improve the reliability and scalability. First, the metrics of network reliability, maintenance cost and usage cost are defined to establish the controller placement optimization model for the software‐defined satellite‐terrestrial network. Then, a distributed and hierarchical control structure composed of super controller, master controller, and slave controller is presented to enhance the scalability. Furthermore, according to the latitude variation of the LEO satellites, a time‐slot division method is proposed to staticize the network control topology. It reduces control link handover and enhances the stability of control links. In addition, a LEO satellite latitude based slave controller selection strategy and a shortest distance based inter layer control strategy are proposed to facilitate cost reduction and stability enhancement. Finally, extensive simulations demonstrate that the proposed control structure not only obtains high stability and scalability, but also efficiently saves the maintenance and usage cost. Besides, the impacts of service request distribution and satellite number on the control structure are analyzed.

THE IMPACT OF COMPETENCY AND WORK PLACEMENT ON EMPLOYEE PERFORMANCE AT THE TOURISM OFFICE OF SLEMAN REGENCY

Increased competition motivates organizations to continue enhancing performance. Transferring and promoting employees is one measure that can be taken to enhance employee performance. The mutation is anticipated to serve as the appropriate link between employees and positions. The purpose of this study is to investigate the mechanism of employee placement and the requisite competencies at Sleman Regency Tourism Office, as well as the effect of competence and job placement on employee performance. This study employed diverse research methodologies (Mixed Method). The sample in this study was 59 civil servants, freelance daily workers, and freelancer workers at Sleman Regency Tourism Office, which was determined by using the disproportionate stratified random sampling technique. The instrument utilized in this investigation is subjected to validity and reliability testing. Data collected using a questionnaire, interview, and documentation. The analysis was performed by data reduction, triangulation, drawing conclusions, multiple linear regression, and hypothesis testing. The study findings indicate that partial competence has a positive and significant impact on employee performance. The work environment has a significant and positive effect on employee performance. This is also supported by the findings of interviews, which indicate that the quality of employee performance will increase if the work placement is conducted properly and appropriately. This study demonstrates that both competence and work placement have a significant impact on performance. The R value for all Sleman Regency Tourism Office employees with a coefficient of determination is 0.500, or 50.0%.

Microservice-Oriented Service Placement for Mobile Edge Computing in Sustainable Internet of Vehicles

The integration of Mobile Edge Computing (MEC) and microservice architecture drives the implementation of the sustainable Internet of Vehicles (IoV). The microservice architecture enables the decomposition of a service into multiple independent, fine-grained microservices working independently. With MEC, microservices can be placed on Edge Service Providers (ESPs) dynamically, responding quickly and reducing service latency and resource consumption. However, the burgeoning of IoV leads to high computation and resource overheads, making service resource requirements an imminent issue. What’s more, due to the limited computation power of ESPs, they can only host a few services. Therefore, ESPs should judiciously decide which services to host. In this paper, we propose a Microservice-oriented Service Placement (MOSP) mechanism for MEC-enabled IoV to shorten service latency, reduce high resource consumption levels and guarantee long-term sustainability. Specifically, we formulate the service placement as an integer linear programming program, where service placement decisions are collaboratively optimized among ESPs, aiming to address spatial demand coupling, service heterogeneity, and decentralized coordination in MEC systems. MOSP comprises an upper layer to map the service requests to ESPs and a lower layer to adjust the service placement of ESPs. Evaluation results show that the microservice-oriented service deployment mechanism offers dramatic improvements in terms of resource savings, latency reduction, and service speed.