BMS: A KNOWLEDGE-BASED TOOL FOR UNIX PERFORMANCE TUNING

1996 ◽  
Vol 05 (03) ◽  
pp. 323-345
Author(s):  
DU ZHANG ◽  
RAUL VELEZ
Keyword(s):  
Operating System ◽  
System Performance ◽  
Performance Tuning ◽  
Intelligent Support ◽  
Cpu Scheduling ◽  
Knowledge Based ◽  
System Maintenance ◽  
The Cost ◽  
Maintenance Personnel ◽  
Memory Utilization

This paper presents the design and implementation of a knowledge-based tool for performance tuning of the UNIX operating system. The tool, called BMS, provides an intelligent support and maintenance for identifying performance bottlenecks in UNIX and recommending solutions to the problems. Currently, it handles problems in UNIX resource management, such as memory utilization, disk utilization, CPU scheduling and I/O devices. BMS has been implemented in the EXSYS environment and tested on UNIX V.3. Preliminary results have indicated that such a knowledge-based tool to operating system performance tuning (1) is viable; (2) increases the productivity of system maintenance personnel and reduces the cost of training; and (3) offers a better service to operating system users by providing prompt recommendations to solutions of their system performance problems.

PERBAIKAN TATA LETAK LANTAI PRODUKSI INDUSTRI MEBEL MENGGUNAKAN METODE GRAFIK DAN ALGORITMA CRAFT

2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Kuswanto Kuswanto ◽  
Juan Junius ◽  
Anita Christine Sembiring
Keyword(s):  
Operating System ◽  
Material Handling ◽  
Facility Layout ◽  
Integrated Planning ◽  
Furniture Manufacturing ◽  
Milling Machines ◽  
Material Handling Costs ◽  
The Cost ◽  
A Company ◽  
Research Show

Facility layout is integrated planning of the flow of a product in an operating system to obtain the most effective and efficient interrelation between workers, materials, machinery, and equipment as well as handling and transferring materials. A company engaged in furniture manufacturing has a problem in its production process, namely, the distance between machines is too far so that it affects the cost of handling materials. Distant workstations are found on profile machines, milling machines, measuring machines, cutting machines. Therefore, improvements must be made to the layout of facilities on the production floor so that facility layout is efficient and material handling costs are reduced. The problem-solving approach used is the Graph Method and CRAFT Algorithm. The results of the research show that material handling costs are reduced by 7.58% or Rp. 17,765 using the CRAFT algorithm.

Design for Maintenance: How Kms Document Linking Decisions Affect Maintenance Effort and Use

2014 ◽  
Vol 29 (4) ◽  
pp. 312-326 ◽  
Author(s):  
Alan R Dennis ◽  
Binny M Samuel ◽  
Kelly McNamara
Keyword(s):  
Information System ◽  
System Development ◽  
Management Systems ◽  
Information System Development ◽  
Web Based ◽  
Useful Knowledge ◽  
Design Considerations ◽  
Dynamic Content ◽  
System Maintenance ◽  
The Cost

Information system maintenance is an important aspect of information system development, especially in systems that provide dynamic content, such as Web-based systems and Knowledge Management Systems (KMS). Design for Maintenance (DFM) is an approach that argues that maintenance effort should be considered during the design of information systems in addition to the usual system design considerations. This research examines how the design of links among knowledge documents in a KMS affects both their maintenance and use. We argue that providing links among knowledge documents increases the cost of maintenance because when a document changes, the documents that link to and from that document are more likely to need changes. At the same, linking knowledge documents makes it easier to locate useful knowledge and thus increases use. We examine this tension between use and maintenance using 10 years of data from a well-established KMS. Our results indicate that as the number of links among documents increases, both maintenance effort and use for these documents increase. Our analyses suggest two DFM principles for dynamic content in practice. First, knowledge coupling (i.e., linking) to documents internal to the KMS rather than sources external to the KMS better balances maintenance effort and use. Second, designing small, knowledge cohesive documents (e.g., 250-350 words) leads to the best balance between maintenance effort and use.

Efficient Solar Desalination System Using Humidification/Dehumidification Process

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Adel M. Abdel Dayem
Keyword(s):  
High Pressure ◽  
Heat Source ◽  
System Performance ◽  
Salt Water ◽  
Weather Conditions ◽  
Water Production ◽  
High Pressure Pump ◽  
Solar Desalination ◽  
Flat Plate Collector ◽  
The Cost

An innovative solar desalination system is successfully designed, manufactured, and experimentally tested at Makkah, 21.4 degN. The system consists of 1.15 m2 flat-plate collector as a heat source and a desalination unit. The unit is about 400 l vertical cylindrical insulated tank. It includes storage, evaporator, and condenser of hot salt-water that is fed from the collector. The heated water in the collector is raised naturally to the unit bottom at which it is used as storage. A high pressure pump is used to inject the water vertically up through 1-mm three nozzles inside the unit. The hot salt-water is atomized inside the unit where the produced vapor is condensed on the inner surfaces of the unit outer walls to outside. The system was experimentally tested under different weather conditions. It is obtained that the system can produce about 9 l a day per quadratic meter of collector surface area. By that it can produce about 1.6 l/kWh of solar energy. Moreover, the water temperature has a great effect on the system performance although the scaling possibility is becoming significant. By that way the cost of a liter water production is relatively high and is obtained as 0.5 US$.

A Collaborative Approach for Minimal-Cost Monitor Deployment in Cloud Environment

2015 ◽  
Vol 25 (06) ◽  
pp. 935-960
Author(s):  
Yuan-Hsin Tung ◽  
Shian-Shyong Tseng ◽  
Wei-Tek Tsai
Keyword(s):  
Approximate Solutions ◽  
Relationship Matrix ◽  
Minimal Cost ◽  
Cloud Environment ◽  
Cloud Infrastructure ◽  
Domain Experts ◽  
Knowledge Based ◽  
Expert Opinions ◽  
Service Oriented ◽  
System Maintenance

Monitoring is widely applied in problem diagnosis, fault localization, and system maintenance. And since the cloud infrastructure is complex, the applications on the cloud are therefore complex, which makes monitoring in cloud more difficult. Rich monitors that contain composite and heterogeneous probes are often used in service-oriented system monitoring. These rich monitors often involve multiple entities, and the interpretation may require expert opinions from multiple domains. This paper proposes a knowledge-based collaborative monitoring approach to find out minimal cost monitor deployment in a cloud environment. The approach contains two main phases. In the knowledge acquisition phase, three acquisition tables, monitor-probe relationship matrix, cost of monitoring, and probe-problem dependence matrix, are generated according to diagnosis ontology and monitor ontology acquired from domain experts. And then based upon the three acquisition tables and three consensus building strategies, we formulate the problem of optimizing the cost of monitoring as an Integer Linear Programming (ILP) problem, which is NP-Complete. In the monitor deployment phase, the proposed algorithm applies two heuristic rules to address the problem. Three experiments are conducted to evaluate the performance of the proposed approach. The results from the experiments show that our approach is effective and produce quality approximate solutions in monitor deployment.

scholarly journals A Bit String Content Aware Chunking Strategy for Reduced CPU Energy on Cloud Storage

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Bin Zhou ◽  
ShuDao Zhang ◽  
Ying Zhang ◽  
JiaHao Tan
Keyword(s):  
Energy Consumption ◽  
Data Center ◽  
System Performance ◽  
Cloud Storage ◽  
High Performance ◽  
Factors Affecting ◽  
Redundant Data ◽  
Energy Factors ◽  
The Cost ◽  
Content Aware

In order to achieve energy saving and reduce the total cost of ownership, green storage has become the first priority for data center. Detecting and deleting the redundant data are the key factors to the reduction of the energy consumption of CPU, while high performance stable chunking strategy provides the groundwork for detecting redundant data. The existing chunking algorithm greatly reduces the system performance when confronted with big data and it wastes a lot of energy. Factors affecting the chunking performance are analyzed and discussed in the paper and a new fingerprint signature calculation is implemented. Furthermore, a Bit String Content Aware Chunking Strategy (BCCS) is put forward. This strategy reduces the cost of signature computation in chunking process to improve the system performance and cuts down the energy consumption of the cloud storage data center. On the basis of relevant test scenarios and test data of this paper, the advantages of the chunking strategy are verified.

scholarly journals Performance analysis of retrofit R410a refrigerant with R32 refrigerant on a split air conditioner

2021 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
I Nengah Ardita ◽  
◽  
I Gusti Agung Bagus Wirajati ◽  
I Dewa Made Susila ◽  
Sudirman Sudirman ◽  
...  
Keyword(s):  
System Performance ◽  
Air Conditioning ◽  
Quantitative Description ◽  
Air Conditioner ◽  
Experimental Equipment ◽  
Evaporation Heat ◽  
Before And After ◽  
Common Group ◽  
The Cost ◽  
Design And Manufacture

Split air conditioning (AC) is the most widely used in the community for both commercial and domestic utilities. At the present refrigerant which used in Split AC is mostly common group of HFCs, such as R410a. R410a is a zeotropic refrigerant and if there is a leak in the system, it cannot be added this refrigerant. This will increase the cost of maintenance. The aims of this research is to investigate the retrofit of R410a with R32 on the Split AC system. The R32 is chosen because it has higher latent evaporation heat at the same temperature and has less effect on global warming. The refrigeration effect, the power consumption and the system performance are the main three quantities that want to be examined in this research which are observed before and after retrofit. Experimental investigation conducted during this research, including design and manufacture of experimental equipment, calibration and tools installment, collecting the experimental data and analysis by quantitative description method before and after retrofit. The results informed that cooling effect increased during the research, but the COP system has a slight decrease about 4%. R32 refrigerant is quite feasible as a retrofit refrigerant to R410a refrigerant.

scholarly journals SIP Policy: Theoretical and Conceptual Facts of Software Rejuvenation in Convoluted System

2016 ◽  
Vol 1 (1) ◽  
pp. 35
Author(s):  
Nagaraj G Cholli ◽  
Srinivasan G N
Keyword(s):  
Operating System ◽  
System Performance ◽  
Performance Degradation ◽  
High Availability ◽  
Numerical Error ◽  
Main Issue ◽  
Software Aging ◽  
Software Rejuvenation ◽  
Software Failure ◽  
Novel Approach

A software aging in convoluted system refers to the situation where software degrades with span of time. This phenomenon, which may eventually lead to system performance degradation or crash/hang failure, is the result of depletion of operating system resources, data deception and numerical error assembly. A technique called software rejuvenation has been incorporated, which essentially involves periodic aborting an application or a system, flushing its intramural state and re-starting it. A main issue in rejuvenation is to discover ideal time to initiate software rejuvenation. Software rejuvenation is a proactive technique that allows preventing the occurrence of software failing. A novel approach called Smart interval and payload (SIP) policy is introduced to overcome all the hurdles in the present scenario based on Software Rejuvenation approaches. SIP policy accepts time from user and optimizes the rejuvenation time whenever workload is variable; otherwise the system is rejuvenated at its rejuvenation point. SIP policy avoids software failure and it helps to achieve high availability of convoluted system.

scholarly journals OPTIMALISASI SUMBER DAYA KOMPUTER DENGAN VIRTUALISASI SERVER MENGGUNAKAN PROXMOX VE

2019 ◽  
Vol 9 (2) ◽  
pp. 369-376
Author(s):  
Soni Soni ◽  
Abdurrahman Abdurrahman ◽  
Afdhil Hafid
Keyword(s):  
Operating System ◽  
Memory Usage ◽  
Server Virtualization ◽  
Virtualization Technology ◽  
The Cost ◽  
Server Computer

Virtualization technology is a topic that began to be scrutinized by researchers. This is inseparable from the technology's ability to reduce the cost of providing infrastructure and operations independently for each service to be served. With server virtualization, we can make several computers into one, which used to be possible for server computers to have three physical computers that can be used as one for the three server computers which in fact the resources on a single physical server computer will not use all the resources in one single physical computer. The existence of proxmox, then all servers can be connected in a network together so that they are able to streamline time. In addition, Proxmox has a web console that can be used for various purposes in server virtualization and maintenance. In this study, the performance of server virtualization using ProxmoxVE will be examined. This study is intended to determine the load of memory usage, load the CPU when running all the servers in Proxmox, and examine the Throughput, PacketLoss, Delay and Jitter on the server. Keyword: Proxmox, Virtualization, Resources, Server, Operating System

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