Today's Enterprises Research Articles

Adaptive Scheduling Parallel Jobs with Dynamic Batching in Spark Streaming

Today enterprises have massive stream data that require to be processed in real time due to data explosion in recent years. Spark Streaming as an emerging system is developed to process real time stream data analytics by using micro-batch approach. The unified programming model of Spark Steaming leads to some unique benefits over other traditional streaming systems, such as fast recovery from failures, better load balancing and resource usage. It treats the continuous stream as a series of micro-batches of data and continuously process these micro-batch jobs. However, efficient scheduling of micro-batch jobs to achieve high throughput and low latency is very challenging due to the complex data dependency and dynamism inherent in streaming workloads. In this paper, we propose A-scheduler, an adaptive scheduling approach that dynamically schedules parallel micro-batch jobs in Spark Streaming and automatically adjusts scheduling parameters to improve performance and resource efficiency. Specifically, A-scheduler dynamically schedules multiple jobs concurrently using different policies based on their data dependencies and automatically adjusts the level of job parallelism and resource shares among jobs based on workload properties. Furthermore, we integrate dynamic batching technique with A-Scheduler to further improve the overall performance of the customized Spark Streaming system. It relies on an expert fuzzy control mechanism to dynamically adjust the length of each batch interval in response to time-varying streaming workload and system processing rate. We implemented A-scheduler and evaluated it with a real-time security event processing workload. Our experimental results show that A-scheduler with dynamic batching can reduce end-to-end latency by 38 percent and meanwhile improve workload throughput and energy efficiency by 23 and 15 percent, respectively, compared to the default Spark Streaming scheduler.

Some Issues on the Protection of Employee Rights and Interests in Vietnamese Enterprises Today

Abstract Protecting employee rights and interests is the issue attracted attention of related parties in Vietnam. It includes a lot of contents. The article deals with some basic contents such as salary, working time and labor safety and hygiene. In the past years, besides the achievements, the protection of employee rights and interests in Vietnamese enterprises has some limitations. In some enterprises, the minimum wage has not met the demand, the real income of employees is low while working time is relatively high and labor safety and hygiene are not ensured. This is due to many reasons, such as: firstly, most Vietnamese enterprises are small and medium ones, their economic potential is not strong enough to be able to good equipment for employees; secondly, the employees themselves are not aware of their rights and interests as well as are also under pressure to survive; thirdly, it is the problem of profit. Therefore, it is necessary to adjust both the awareness and policies to make sure the harmony between employees, enterprises and society.

Quality assurance on the example of the welding process for gear lever

Quality is one of the basics of product selection by customers. Therefore, the main area of quality management is the identification of customers, their requirements and expectations. This is especially important in the automotive industry. Today's enterprises, wanting to strengthen their market position by improving the quality of their products, constantly control their products. Systems responsible for monitoring production allow to ensure the course of production processes in supervised conditions. The monitoring and recording of events that occur during production is of key importance. This is the basis for analyzing the stability of the production process, which is a key aspect of continuous improvement of quality. Thanks to this approach, it is possible to prevent the generation of costs related to the removal of defective products created at the manufacturing stage, as well as to reduce the number of complaints.

Knowledge Management as a Component of Integrated Management Systems

Abstract Integrated management systems are increasingly used in modern enterprises. They allow for a more comprehensive approach to a number of important issues, affecting the modification of activities and process improvement. However, the integration itself often does not provide the right effects (apart from economic ones) without leading to real, multifaceted coupling of activities between the components of the system. To obtain such effects, it is necessary to connect the components in one system. Knowledge management can be a helpful element in this activity. Each component of the integrated management systems generates a large number of data and information. Their use is possible only by building on their basis knowledge leading to improvement of activities or innovation. The use of knowledge, especially hidden knowledge that contains unique and inaccessible knowledge for competitors, should be a priority for today's enterprises. The study presents considerations regarding the possibility of including knowledge management in integrated management systems, treating knowledge as a basic element connecting the system.

Authorization of Data In Hadoop Using Apache Sentry

Big Data has become more popular, as it can provide on-demand, reliable and flexible services to users such as storage and its processing. The data security has become a major issue in the Big data. The open source HDFS software is used to store huge amount of data with high throughput and fault tolerance and Map Reduce is used for its computations and processing. However, it is a significant target in the Hadoop system, security model was not designed and became the major drawback of Hadoop software. In terms of storage, meta data security, sensitive data and also the data security will be an serious issue in HDFS. With the importance of Hadoop in today's enterprises, there is also an increasing trend in providing a high security features in enterprises. Over recent years, only some level of security in Hadoop such as Kerberos and Transparent Data Encryption(TDE),Encryption techniques, hash techniques are shown for Hadoop. This paper, shows the efforts that are made to present Hadoop Authorization security issues using Apache Sentry in HDFS.

Turning Dark Data into Informed Content. AI-driven Scalable Document Classification for Today's Enterprise Businesses

Turning Dark Data into Informed Content. AI-driven Scalable Document Classification for Today's Enterprise Businesses

Role Of Digitalization In Improving Supply Chain Management: A Quantitative Investigation

Innovations pique people's interest, inspire them, and enhance their quality of life. The majority are constant adjustments used to keep ahead of the competition, but digital innovation redefines the market. The idea of digital management of supply chains will be crucial in the future. Digitalization has affected every facet of businesses, including operating styles and supply chains. Today's enterprises can change their supply chain structures from a hybrid of printed and IT-supported procedures to more adaptable, open, quick-moving, and participatory digital models thanks to Technology like RFID, GPS, and sensors. Different from hybrid supply chain approaches, which have led to rigid organizational structures, unavailability of data, and fragmented connections with partners, digital supply chains enable the automation of business operations and the digital management of firm assets. In the future supply chain networks, threat management will require an electronic supply chain risk monitoring system. Digitalizing the entire supply chain will make a considerable quantity of current information available, enabling speedier detection and response to any issues.

Performance innovations in the IBM z14 platform

The IBM z14 platform brings together numerous innovations that collectively provide considerable performance gains over prior designs for the full spectrum of modern workloads being run on today's enterprise systems. These workloads range from traditional online transaction processing and batch workloads to Linux-based and cloud-based workloads, leveraging advances in analytics, mobile transaction processing, social data mining, cognitive applications, security (blockchain), and other areas. The performance gains in the z14 platform required advancements in the processor hardware microarchitecture, physical design, and instruction-set architecture, as well as in the firmware and hypervisor stacks. The result is a comprehensive platform solution that enables efficient multiprocessor scaling for large single-image partitions and mixed-workload multipartition environments within a single platform, while remaining responsive to the “bursty” demands of batch and transaction-based workloads. The performance gains present in the z14 are a direct result of the collaborative efforts between diverse teams within IBM working together to produce advancements in hardware, firmware, and software that outpace the gains of the individual contributions. In this paper, we discuss these results with a focus on the client value delivered through system performance and workload responsiveness.

Static and Dynamic Process Change

Approaches for modifying processes both at build time and at run time are commonly referred to as process change , which play an increasingly important role in the enterprise today, where more than ever before, changing requirements must be rapidly accommodated. Over the years, approaches for supporting process change have received much attention from the research community. In spite of that, no comprehensive survey of this important subject exits. To draw a clear picture that analyzes the status of research in this area, in this paper, we conduct a systematic literature review on process change. The resulting survey sheds light on how to classify approaches for process change, determines what the principal research questions and challenges are, and identifies several research directions for further study.

Deep learning framework for early detection of intrusion in Virtual Environment

Today's business enterprise adapts cloud-based services as its architectural design. Intelligence technique incorporated into the architecture gives massive tangible and intangible benefits in terms of performance and reliability. Such cloud-based business architecture faces many threats towards its availability. DDoS attack is the most prominent threat as its impact is more in the virtual resource-based cloud infrastructure. Therefore, there is a need for a business intelligence-based framework to detect early the attack by monitoring the virtual network traffic. The proposed intelligence framework uses a deep learning framework, continuous discriminative-deep belief network (CD-DBN). CD-DBN dynamically captures attack patterns from the network data, analyses the data and detects the intrusion to the cloud. The observed result shows that the earlier detection approach guarantees the availability of cloud services to the legitimate users and enhances the cloud resource usage.

Towards A Framework for Multilayer Computing of Survivability

The notion of survivability has an important position in today enterprise systems and critical functions. This notion has been defined in different ways. However, lacking a comprehensive and multilayer model for computing the survivability quantitatively, is the major gap happened in researches of this field; a model that is tally general and applicable in various applications. This research tries to design a comprehensive, multilayer as well as general model for modeling and computing the survivability. Considering that the Markov property is true in our proposed model, we used the Markov model. Using the proposed three layer architecture and designing a Markov structure, we could have been able to compute the survivability initially for each of infrastructure components separately and regardless of their functional dependency to each other. The computations were generalized to consider component dependencies as well as the upper layers entering dependencies in Markov model and could compute the survivability of each vital function for the highest architectural layer based on the underlying layers. Finally, a common and ordinary structure of crisis management has been studied and its results analyzed. We could examine the abilities of our model to compute the survivability of the whole crisis management system successfully.

Data Analysis Courses and University Education

At first this paper talked about the history of analysis, and the courses evolution process, and then, pointed out in today's enterprises, the urgent need to recruit Data Analyst, but this kind of talent in employment market is shortage, this fact cannot be ignored. This is the necessity and urgency of setting data course in the university. The next fact is, today's science to infiltrate to other disciplines, to promote them has to evolve, expand and even alienation. This is the analysis courses in science and engineering colleges must to popular the inevitability of. In this paper, it also analyze the classification of the series course, the opening of the key courses, and put forward their own opinions and suggestions, which have a certain reference value for the teaching and research work in university.

IT Governance Measurement Tools and its Application in IT-Business Alignment

ABSTRACT The purpose of this exploratory research paper is to evaluate the deployment and assessment methodology of the information technology governance (ITG) measurement tools, with the purpose of gaining deeper insight into the ITG initiation process, the nature of tools employed, measurement processes, and the implementation methodology, using case studies. Analysis of the available academic and non-academic literature sources showed measurement issues being the most dominant and ironically the most neglected domain in ITG implementations. We view ITG measurement tools and it subsequent deployment through the two theoretical ITG models namely the Integrated IT Governance model, and the Structures, Processes, and Relational ITG model. To validate these findings and to get a deeper insight into the ITG measurement domain, we conducted four case studies of measurement tools usage and processes in commonly used ITG frameworks in four organisations in New Zealand and United Arab Emirates. The results indicate that the IT governance initiatives differ in the manner of positioning in the integrated ITG framework, and objectivity of measurement is more evident and emphasized in UAE than in New Zealand. The result of these findings provides practitioners with guidance on the contextual usage of ITG measurement practices KEYWORDS: IT Governance measurement, IT business alignment, metrics INTRODUCTION Assessing the measurement and value of IT is a complex challenge and a future research direction (De Haes, Van Grembergen, & Debreceny, 2013). Thus, there is an ever-increasing demand for accountability and objectivity in the measurement of information technology auditing, and IT processes performance (Maria, Fibriani, & Wijaya, 2012). Supplemented, with an ever-increasing demand for compliance in the information domain, organizations have witnessed an increase in the adoption of IT governance (ITG) frameworks. In a highly contextually different, but global organizational structure, ITG implementation however, remains an issue where the theory does not or cannot always deliver to the expectations of practitioners. Globally, IT governance is concerned with two things: that IT delivers value to the business and that IT risks are mitigated and both need measurement (Grembergen, Haes, & Guldentops, 2004), but contextually the subsequent practices may differ. This key issue of aligning IT goals with business goals, which overlap two domains namely IT and business is the primary goal of IT governance. However, this continuous alignment of business and IT in a rapidly changing environment has also been the top concern (Kappelman, McLean, Johnson, & Torres, 2016) and a grand challenge for today's enterprises (Hinkelmann et al., 2016). In this respect, the objective of continuous measurement of IT processes/IT controls to ensure alignment, plays a critical role in IT business alignment success through higher-level measurement models (IT maturity model, balance scorecard); and process measurement tools namely heat map, key performance indicators, and key goal indicators. While organizations worldwide embark on adopting ITG frameworks, the subsequent need to select and integrate overlapping ITG frameworks has presented practitioners with challenges in terms of choice and integration of frameworks (Nicho & Muamaar, 2016). While the most prominent IT governance frameworks include ITIL, COBIT, ITCG & COSO (Benaroch & Chernobai, 2012), COBIT and ITIL are commonly used for IT governance implementations (Stevens, 2011). Hence, assessment of the IT processes/IT controls of these frameworks is not only a continuous process for audit and compliance, but also presents challenges in terms of consistency of audit, compliance, and/or measurement. With alignment of IT with the business being the highest management concern for organizations (Kappelman et al., 2016), IT governance become an important issue on the agenda for many enterprises (Simonsson, Johnson, & Wijkstrom, 2007). …

Performance Evaluation of Virtual Identity Approaches for Anonymous Communication in Distributed Environments

Abstract: Today's enterprises core concept of security is the Identity (ID). When it comes to mapping identity in order to gain access to a specific service or digital account, cloud technology offers the most robust, cost-effective, easy-to-use solutions available. In this paper, the Virtual Identity (V ID ) concept is not only used to improve the user privacy and security on the network and service platforms but also, the V ID performance is evaluated by implementing a mathematical model based on Baskett Chandy Muntz-Palacios (BCMP) model. Moreover, a simulation-based evaluation using OPNET Modeler is conducted to compare the simulation results against the analytical model based BCMP queuing analysis. Finally, the comparative study of our proposed models and the related work proves that our proposed models are suitable for anonymous communication in distributed virtual environments.

Car Sales Analysis Based on the Application of Big Data

Whether industrial 4.0 nor Internet industry, for today's industrial manufacturing enterprises, it should be to make full use of information and communication technology to deal with the arrival of smart and effective large data, combining products, machinery and human resources into together, according to the unexpected speed about the mode of sales product, it can change the manufacturing enterprises to process innovation and reform. This paper takes the automobile manufacturing industry as an example, based on sale car large data analysis, using data mining technology, through the Java program to prepare web crawler program for data collection. To give some suggestions for the automobile manufacturing industry in the production of automobile, it reduces the inventory of automobile enterprises and the waste of resources.

Workforce Development for Clinical Research Associates

One of the greatest challenges in the clinical research enterprise today is ensuring that a competent workforce is available to carry out its activities. The purpose of this article is to discuss how professionals can break into the clinical research associates (CRA) role, and to present models that can help transition the novice into an expert. CRAs and employers need to ensure that an appropriate career path exists with ongoing development opportunities. The Joint Task Force for Clinical Trial Competency has outlined competencies for the clinical research professional that can be translated into the CRA role and serve as the ultimate goal for professional development. By creating a workforce development program that addresses the challenges of CRAs with varying levels of experience, the end result is a qualified and skilled role that is vital to the clinical research industry.

Systems Engineering for a Circular Economy

AbstractThis paper identifies and describes the principles of circular economy that is getting increased attention in Europe. In 2012 the Ellen MacArthur Foundation, in cooperation with industrial partners, presented a financial report outlining the economic potential inherent in the products of today. With a change in mindset and the use of different business models this potential of $630bn, in Europe alone, can be extracted.This paper discusses the effects of a circular approach and the impact the required shift in business models will have on the fundamental ideas and concepts of today's enterprises. Furthermore the paper states that many of the methods and tools required to perform this change are already accessible today within the systems engineering and logistics engineering domains. The new business models used in a circular economy will require an enhanced integration of these two domains.

Grammatology: A Vital Science

This essay argues that Jacques Derrida's early work on grammatology and the science of writing continues to have interventionary relevance for how we understand the scientific enterprise today. Catherine Malabou has argued that the importance of Derrida's contribution has waned because the metaphors and tropes that he deploys have been eclipsed with time, becoming less applicable in explanations of how things work. Offering her own replacement term, ‘plastology’, Malabou argues that insights into the operations of brain plasticity, for example, have superseded graphic metaphors. I suggest that Malabou's remedial is misguided because Derrida's ‘graphematic structure’ was never intended to answer the problem of representational accuracy. Indeed, Derrida advises that his non-concepts ‘trace’, ‘gramme’ or ‘writing’ are no more graphic than phonological, no more temporal than spatial. I argue, with Derrida, that a model, or representation, is not a third term in-between the biologist and biology or the writer and the world. In grammatology's onto-epistemological confounding of subject with/in object, we find that ‘writing's’ riddles also appear in/as the entanglements of quantum physics, where the one who knows, the measuring apparatus and the object to be interpreted are strangely involved.

The New Balanced Scorecard Evaluation System--With Midea Group Case

In the 21st century global economy and multicultural knowledge economy, business era, the traditional financial performance evaluation is not appropriate for today's enterprise management, and modern enterprise management has entered the era of strategic management. In 1996 years later, the big consulting companies introduce the balanced scorecard performance evaluation system, through years of practice, most enterprises in our country on the use of the balanced scorecard performance evaluation system, are still in the field of performance evaluation, but the ultimate goal is build a new performance management system to achieve strategic direction, in order ensure successful execution company strategy. Thus, the balanced scorecard is enhance their strategic execution of the most effective strategic management tool. Based on the review and strategic dimensions of the Balanced Scorecard four-dimensional theory, and emphasized the importance and significance of the strategic dimensions of the Balanced Scorecard. Five dimensions and nineteenth determining factors using AHP weights the Media group as an example of reasonable and effective verification of the five-dimensional Balanced Scorecard evaluation system constructed which tend be effective practical tools for enterprises achieve strategic management.

Holistic Performance Monitoring of Hybrid Clouds: Complexities and Future Directions

Effective monitoring solutions are critical to the smooth running of enterprise systems. However, real-world constraints present several challenges in designing such solutions. With the increasing scale and complexity of today's enterprise IT systems and their increasing use for business-critical applications, traditional approaches to monitoring must be reconsidered. This article stresses the need for a paradigm-shift from manual intuition-led approaches to an automated analytics-driven approach to monitor the IT systems. The authors propose that analytics-led solutions can provide powerful levers to design monitoring and event management solutions for next-generation enterprise IT systems.