scholarly journals Improve the Performance of Data Grids by Cost-Based Job Scheduling Strategy

2014 ◽  
Vol 3 (2) ◽  
pp. 100-111
Author(s):  
Najme Mansouri

Grid environments have gain tremendous importance in recent years since application requirements increased drastically. The heterogeneity and geographic dispersion of grid resources and applications places some complex problems such as job scheduling. Most existing scheduling strategies in Grids only focus on one kind of Grid jobs which can be data-intensive or computation-intensive. However, only considering one kind of jobs in scheduling does not result in suitable scheduling in the viewpoint of all system, and sometimes causes wasting of resources on the other side. To address the challenge of simultaneously considering both kinds of jobs, a new Cost-Based Job Scheduling (CJS) strategy is proposed in this paper. At one hand, CJS algorithm considers both data and computational resource availability of the network, and on the other hand, considering the corresponding requirements of each job, it determines a value called W to the job. Using the W value, the importance of two aspects (being data or computation intensive) for each job is determined, and then the job is assigned to the available resources. The simulation results with OptorSim show that CJS outperforms comparing to the existing algorithms mentioned in literature as number of jobs increases.

2014 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Najme Mansouri

Grid computing environments have emerged following the demand of scientists to have a very high computing power and storage capacity. One among the challenges imposed in the use of these environments is the performance problem. To improve performance, scheduling technique is used. Most existing scheduling strategies in Grids only focus on one kind of Grid jobs which can be data-intensive or computation-intensive. However, only considering one kind of jobs in scheduling does not result in suitable scheduling in the viewpoint of all system, and sometimes causes wasting of resources on the other side. To address the challenge of simultaneously considering both kinds of jobs, a new Hybrid Job Scheduling (HJS) strategy is proposed in this paper. At one hand, HJS algorithm considers both data and computational resource availability of the network, and on the other hand, considering the corresponding requirements of each job, it determines a value called W to the job. Using the W value, the importance of two aspects (being data or computation intensive) for each job is determined, and then the job is assigned to the available resources. The simulation results with OptorSim show that HJS outperforms comparing to the existing algorithms mentioned in literature as number of jobs increases.


Author(s):  
Mohammad Shorfuzzaman ◽  
Rasit Eskicioglu ◽  
Peter Graham

Data Grids provide services and infrastructure for distributed data-intensive applications that need to access, transfer and modify massive datasets stored at distributed locations around the world. For example, the next-generation of scientific applications such as many in high-energy physics, molecular modeling, and earth sciences will involve large collections of data created from simulations or experiments. The size of these data collections is expected to be of multi-terabyte or even petabyte scale in many applications. Ensuring efficient, reliable, secure and fast access to such large data is hindered by the high latencies of the Internet. The need to manage and access multiple petabytes of data in Grid environments, as well as to ensure data availability and access optimization are challenges that must be addressed. To improve data access efficiency, data can be replicated at multiple locations so that a user can access the data from a site near where it will be processed. In addition to the reduction of data access time, replication in Data Grids also uses network and storage resources more efficiently. In this chapter, the state of current research on data replication and arising challenges for the new generation of data-intensive grid environments are reviewed and open problems are identified. First, fundamental data replication strategies are reviewed which offer high data availability, low bandwidth consumption, increased fault tolerance, and improved scalability of the overall system. Then, specific algorithms for selecting appropriate replicas and maintaining replica consistency are discussed. The impact of data replication on job scheduling performance in Data Grids is also analyzed. A set of appropriate metrics including access latency, bandwidth savings, server load, and storage overhead for use in making critical comparisons of various data replication techniques is also discussed. Overall, this chapter provides a comprehensive study of replication techniques in Data Grids that not only serves as a tool to understanding this evolving research area but also provides a reference to which future e orts may be mapped.


2014 ◽  
Vol 881-883 ◽  
pp. 757-760
Author(s):  
Xiao Qing Ren ◽  
Li Zhen Ma ◽  
Xin Yi He

The objective of this study was to examine the effect of different levels of catfish bone paste to flour on the physicochemical, textural and crumb structure properties of steamed bread. Six different levels (0, 1, 3, 5, 7,10 %) of catfish bone paste to flour were used in the formulation of the steamed bread. The results showed that the weight loss and TTA of steamed bread decreased with an increase in the levels of the catfish bone paste. On the other hand, the pH increased with an increase in the levels of the catfish bone paste. The specific volume, hardness, chewiness and gas cell structure in the crumb of steamed bread with catfish bone paste at 5% supplementation level were better. Thus, a value of 5% catfish bone paste was considered a better level for incorporation into the steamed bread.


1968 ◽  
Vol 25 (2) ◽  
pp. 393-407 ◽  
Author(s):  
John R. Hunter

Schools of six jack mackerel each were photographed with infrared film at eight levels of luminance and also in darkness. Three indices were used to measure the behavior of the school from motion pictures. Two of the indices, mean distance to nearest neighbor and mean separation distance, were measures of the distances between individuals in a school; the other, mean angular deviation, was a measure of differences in orientation between individuals. A value for each index was calculated for each motion picture frame.From 12.1 to 6 × 10−6 ft-L no differences existed in the angular deviation of the school or in the distances between fish. At 6 × 10−7 ft-L the intervals between fish were much larger than at higher levels of brightness and groups showed little uniformity in their orientation. Below 6 × 10−7 ft-L (darkness) schools were dispersed and the distributions of values of angular deviation were random.The ability of jack mackerel to feed on live adult Artemia was also tested at eight levels of luminance and in darkness. The number of Artemia eaten at 6 × 10−5 ft-L was about half of that eaten at the normal daytime level of 12.1 ft-L. Few Artemia were eaten at 6 × 10−7 ft-L and none in darkness.Comparison of these data with measurements of light in the sea indicated that jack mackerel probably would be able to maintain schools near the surface on a moonless starlit night and that they probably could feed effectively near the surface on a full moonlight night.


2015 ◽  
Vol 50 (2) ◽  
pp. 153-162 ◽  
Author(s):  
EI Adeyeye ◽  
AJ Adesina

The levels of fatty acids, phospholipids and sterols were determined in the brains of she-goat and castrated goat found in Ekiti State, Nigeria by gas chromatography. Results showed that the crude fat levels were 9.98 and 10.2 % in the brains of she-goat and castrated goat respectively. The fatty acid composition of she-goat and castrated goat brain shows that the SFA was 40.6 and 42.7 %, MUFA was 37.1 and 38.7 % and PUFA was 20.9 and 22.3% respectively. The other parameters of she-goat and castrated goat brain were found: PUFA/SFA, 0.490 and 0.548; MUFA/SFA, 0.869 and 0.953; n-6/n-3, 0.775 and 11.7; LA/ALA, 0.876 and 28.0; AA/DGLA, 6.05 and 17.4; EPA/DHA, 1.00 and 5.89 and EPSI (PUFA/MUFA), 0.564 and 0.575 respectively. Phospholipids were present in she-goat and castrated goat with a value range of 2365 and 3047 mg/100g respectively. Among the sterols, only cholesterol was of any significant level with values of 1353 mg/100g (she-goat brain) and 1355 mg/100g (castrated goat brain). Linear correlation at ? = 0.05, df: n-1 showed that no significant difference exists between the crude fats, phospholipids and sterols except in the fatty acids parameters.Bangladesh J. Sci. Ind. Res. 50(2), 153-162, 2015


Author(s):  
Adil Bakoğlu ◽  
Hüseyin Baykal ◽  
Muhammed İkbal Çatal

In this study, which was carried out in 2018, some vegetation characteristics of Handüzü plateau which was connected to Güneysu district of Rize province was determined by using Lup method. Canopy cover and botanical composition ratios and pasture status class were investigated in the study. As a result of the study, 4 grasses, 4 legume and 33 other family plants were identified. The rate canopy covering of the research area was 82.40%, the rate of grasses in the botanical composition was 33.37%, the rate of the legumes was 5.75% and the ratio of the other families was 60.88%. The first three species, the most common found in pasture, respectively; Nardus stricta L. (27.00%), Carex atrata L. subsp. aterrima (Hoppe) Hartm. (11.10%) and Polygala alpestris Rchb. (8.50%). Pasture status was determined as weak with a value of 2.456% degree of pasture quality. It was concluded that especially controlled grazing and top-seeding, were applied together other methods of breeding.


2016 ◽  
Vol 6 (2) ◽  
pp. 64
Author(s):  
Retindha Ayu Ceilindri ◽  
Meita Santi Budiani

The purpose of this research is to find out: (1) The correlation between self esteem and bullying behavior, (2) The correlation between conformity and bullying behavior, (3) The correlation between self esteem and conformity towards bullying behavior. The subjects of this research were 86 students on VIII grade of SMP Barunawati Surabaya, who are selected using population sampling technique. Data were collected using likert scales of self esteem, conformity, and bullying behavior. Data analysis technique of this research using multiple linier regression analysis. Results of this research are: (1) self esteem has a significant correlation towards bullying behavior with a negative correlation, can be seen from the significance value 0,000 and regression coefficientt -0,526, (2) conformity has a significance correlation towards bullying behavior with a positive  correlation that is shown from the significance value 0,003 and regression coefficientt 0,321, (3) Rsquare value 0,301 means that 30,1% variations on bullying behavior is influenced of self esteem and conformity, the other variable that has a value of 69,9% is caused of other variable that is not measured in this research. Abstrak: Penelitian ini bertujuan untuk menemukan: (1) Hubungan antara harga diri dengan perilaku bullying, (2) Hubungan antara konformitas dengan perilaku bullying, (3) Hubungan antara harga diri dan konformitas dengan perilaku bullying. Penelitian ini menggunakan metode kuantitatif korelasional. Subjek pada penelitian ini ialah 86 siswa kelas VIII SMP Barunawati Surabaya yang dipilih dengan menggunakan teknik sampel populasi. Data skala harga diri, skala konformitas dan skala perilaku bullying diperoleh menggunakan skala likert. Teknik analisis data dalam penelitian ini adalah uji analisis regresi linier berganda. Hasil penelitian menunjukan bahwa: (1) harga diri memiliki hubungan yang signifikan dengan perilaku bullying dengan arah hubungan yang negatif, dapat dilihat dari signifikansi sebesar 0,000 dan koefisien regresi -0,526. (2) konformitas memiliki hubungan yang signifiksn dengan perilaku bullying dengan arah hubungan  positif yang dapat dilihat dari signifikansi sebesar 0,003 dan koefisien regresi sebesar 0,321. (3) nilai Rsquare sebesar 0,301 artinya sebesar 30,1% variasi pada perilaku bullying dipengaruhi oleh harga diri dan konformitas, sisanya sebesar 69,9% disebabkan oleh variabel lain yang tidak diukur dalam penelitian ini.


Author(s):  
Dudi Rudianto

The Risk-Based Bank Rating approach (RBBR) is used to determine the health of banks in Indonesia, both for national banks, joint venture banks and foreign banks. This approach uses five (5) proxies, i.e. Non Performing Loan (NPL), Loan to Deposit Ratio (LDR), Return on Assets (ROA), Net Interesr Margin (NIM), and the Capital Adequacy Ratio (CAR). The overall result of the 5 (five) variables studied show that national banks are healthier than the other two types of banks, namely venture banks and foreign banks, because the national bank has a value beyond the provisions of Bank Indonesia. The partial variable LDR consistently varies significantly between national banks, joint venture banks and foreign banks. The LDR of joint venture banks and foreign banks is higher than the national bank. These conditions indicate that the bargaining position of joint venture banks and foreign banks in serving the needs of public borrowing is much higher than the national bank, which results in increasing the ability of both types of banks in generating profit. Simultaneously throughout the study variables was significantly different among the national banks, joint venture banks and foreign banks..  


1999 ◽  
Vol 121 (12) ◽  
pp. 70-71
Author(s):  
John DeGaspari

This article presents a review on two conveyors at the Ford Motor Co.’s Wayne, MI, assembly plant that use the same technology to meet two very different requirements. One system handles fully dressed, pallet-mounted engines in packages weighing up to 1600 pounds, while the other deals with pallet-mounted instrument panels having a total package weight of 80 pounds. The conveyors, supplied by Bleichert Inc. of Sterling Heights, Mich., use a roller drive mechanism that allows them to adapt to the different application requirements. Ford accomplishes the engine/chassis marriage by lifting completely dressed engines into the vehicle from below. The pallet-mounted engines are transported on a cart, called a moon buggy by Wayne plant personnel. The drive motor can be positioned anywhere along the length of the conveyor. It uses a gear reducer and timing belt to transmit power to the driveshaft. Each of the one-meter-long driveshaft sections is linked to the next one by a coupling to complete the modular drive system.


2014 ◽  
Vol 25 (07) ◽  
pp. 1450022 ◽  
Author(s):  
Saijun Chen ◽  
Haibo Hu ◽  
Jun Chen ◽  
Zhigao Chen

There exist scaling correlations between the edge weights and the nodes' degrees in weighted social networks. Based on the empirical findings, we study a multi-state voter model on weighted social networks where the weight is given by the product of agents' degrees raised to a power θ and there exist persistent individuals whose opinions are independent of those of their friends. We find that the fraction of each opinion will converge to a value which only relates to the degrees of initial committed agents and the scaling exponent θ. The analytical predictions are verified by numerical simulations. The model indicates that agents' degrees and scaling exponent can significantly influence the final coexistence or consensus state of opinions. We also study the influence of degree mixing characteristics on the dynamics model by numerical simulations and discuss the relation between the model and the other related opinion dynamics models on social networks with different topological structures and initial configurations.


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