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Dynamic and Adaptive Fault Tolerant Scheduling With Qos Consideration in Computational Grid

Thesis Info

Access Option

External Link

Author

Haider, Sajjad

Program

PhD

Institute

Shaheed Zulfikar Ali Bhutto Institute of Science and Technology

City

Karachi

Province

Sindh

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Grid Computing

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/10920/1/Sajjad%20Haider_Grid%20Computing_2019_SZABIST_PRR.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727741211

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Implementing fault tolerant scheduling in computational grid is a challenging task. Proactive and reactive fault tolerant scheduling techniques are commonly used in grids. Proactive approaches focus on the issues due to which faults are generated. Reactive approaches are activated after identification of failures. Different from exist ing fault tolerant techniques, we present a novel, hybrid, dynamic, and adaptive fault tolerant technique that effectively uses proactive and reactive approaches. Proactive fault tolerant orchestrator uses proactive approach, where resources are filtered on the basis of vicinity, availability and reliability. Existing fault tolerance techniques do not distinguish resources during selection, but the proposed algorithm prefers to employ local resources that results in low communication costs and less tendency towards failures. In order to find high availability of resources, a newly identified parameter that uses availability time is incorporated in the model for finding highly available resources using mean time between availability and mean time between unavailability. Reliability of nodes is an indispensable consideration and proposed system computes the reliability of nodes using factors like success or failure ratio of jobs and types of encountered failures. Proposed model also employs an optimal resource identification algorithm that helps in selection of optimal resources during execution of the jobs. List of reliable and optimal grid nodes identified using proactive fault tolerant orchestrator is passed to reactive fault tolerant orchestrator. Failure detector and predictor are the two components that work under reactive fault tolerant orchestrator and caters for network, prediction and temperature based hardware failures. For detection of errors in an efficient and timely manner push and pull models are also applied. Hardware failures are predicted on the basis of device temperature and are carefully used for con trolling the checkpoint intensity. Reduction in number of checkpoints based on device temperature provide several performance benefits in terms of communication cost and reduced execution times. Performance of proposed model is validated using GridSim toolkit. Compared to contemporary techniques, experimental results exhibit efficiency and effectiveness of the proposed model with respect to several performance metrics like execution time, throughput, waiting and turnaround time, number of checkpoints and energy consumption.
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تضمین بر نعت بقلم نصیر احمد اخترؔ


تضمین بر مشہورِ زمانہ نعت بہ قلمِ نصیر احمد اخترؔ
دمِ عیسیٰؑ نہیں دیکھا ! یدِ بیضا نہیں دیکھا !
جہاں میں چشمِ جبرائیلؑ نے کیا کیا نہیں دیکھا

جمالِ ماہِ کنعاؑں کا حسیں جلوہ نہیں دیکھا! !
جہاں دیدہ نگا ہوں نے بہت ڈھونڈا نہیں دیکھا
زمانے میں محمد مصطفیٰؐ جیسا نہیں دیکھا
ستاروں کی ضیاؤں سے زمینِ ثور کہتی ہے
قمر کی دلکشی پر خوب کر کے غور ، کہتی ہے

فلک پرکہکشاں پھر پھیل کر ہر طور کہتی ہے
نگاہِ آسماںؐ لیتی ہے بوسے اور کہتی ہے
بہت دیکھے ہیں لیکن اُنؐ سا نقشِ پا نہیں دیکھاا
فلک کی عظمتیں قربان اس کے ذرّے ذرّے پر
قطار اندر قطار آتے ہیں قدسی آستانے پر

فدا ہے رفعتِ سدرہ اسی پرنور خطّے پر
فرشتے سر نگوں پائے گئے آقاؐ کے روضے پر
رسولوں میں بھی کوئی اُنؐ کا ہم پایہ نہیں دیکھا
کوئی عنصر نہیں دوئی کا اس منظر سہانے میں
کرن سورج کی ہے ناکام اس کی مثل لانے میں

زمیں پر چلنے پھرنے میں’ دنیٰ ‘‘تک آنے جانے میں
مُسلم آپؐ کی یکتائی ہے سارے زمانے میں
کہیں چشمِ فلک نے آپؐ کا سایہ نہیں دیکھا


تضمین بر مشہورِ زمانہ نعت بہ قلمِ نصیر احمد اخترؔ
دمِ عیسیٰؑ نہیں دیکھا ! یدِ بیضا نہیں دیکھا !
جہاں میں چشمِ جبرائیلؑ نے کیا کیا نہیں دیکھا

جمالِ ماہِ کنعاؑں کا حسیں جلوہ نہیں دیکھا! !
جہاں دیدہ نگا ہوں نے بہت ڈھونڈا نہیں دیکھا
زمانے میں محمد مصطفیٰؐ جیسا نہیں دیکھا
ستاروں کی ضیاؤں سے زمینِ ثور کہتی ہے
قمر کی دلکشی پر خوب کر کے غور ، کہتی ہے

فلک پرکہکشاں پھر پھیل کر ہر طور کہتی ہے
نگاہِ آسماںؐ...

بیسویں صدی کی معروف بائبلوں کے تصور جہنم کا تجزیاتی اور بیانی مطالعہ

Since Eschatological Sciences are playing a vital role in shaping theologoy and philosophy of the major world religions. The concept of Hell is conceived as a place where human actions are judged and then rewarded accordingly on the Day of Judgment. Aim of the paper is to find out how the terminlolgy of Hell and its concept is evolved in several versions of the English Bibles of the twenthith century. The paper highlighted that due to numerous English translations of the Bible in ninthenth and twentheith century, not only caused amalgamation in supplementary concepts but also caused change in the concept of Hell as well. This resulted confusion in other eschatological dogmas evolved around the subject. Keeping in view its evolved concept over the history the research shows how it affected other related concepts to it.

Bio-Ecology and Management of Cotton Bollworm, Helicoverpa Armigera Lepidoptera: Noctuidae

Studies were carried out to evaluate the seasonal incidence of population of Helicoverpa armigera, Chrysoperla carnea and parasitism of H. armigera by Habrobracon hebetor in three districts, i.e. Faisalabad, Multan and Rahim Yaar Khan, temperature dependent biological parameters, drought influence on H. armigera along its natural enemies [C. carnea (Stephens) and H. hebetor (Say)] and development of IPM module against H. armigera in cotton agro-ecosystem. The maximum population of adults and larvae of H. armigera recorded during the month of August was 4.10 per trap and 0.52 per plant, respectively. The lowest population was recorded in October, with values of 0.87 adults per trap and 0.12 larvae per plant. Population of C. carnea was highest (0.90 per plant) in September and the lowest number (0.21 per plant) was recorded in July. Similarly, parasitism rates were highest (33.7%) and lowest (04.87%) in September and July, respectively. Adults and larvae of H. armigera were highest in R.Y. Khan i.e. 3.48 and 0.44 per plant, respectively. In contrast, C. carnea population was highest (0.72 per plant) in Faisalabad which was followed by Multan (0.55 per plant) and R.Y. Khan (0.38 per plant). Parasitism was also high in the district Faisalabad (13.39%) followed by Multan (6.36%) and R. Y. Khan (6.23%). Adults and larvae were positively correlated with temperature and r values were calculated at 0.5818 and 0.5240, respectively. Population of C. carnea was negatively correlated with temperature with an r value of -0.5546. Similarly, the parasitism of H. armigera by H. hebetor was negatively correlated with temperature (r= -0.5768). Higher temperatures decreased the duration of development and also decreased the reproductive capacity of H. armigera, C. carnea and H. hebetor. Degree days for developmental period for H. armigera, C. carnea and H. hebetor were 250, 166.67 and 71.43, respectively. The drought caused significant detrimental effects on population of H. armigera and parasitism by H. hebetor. In contrast, C. carnea population was not significantly (F= 2.01, DF= 4 and P>0.05) affected by drought. The maximum yield was recorded 1639.52 kg/ha (16.0 kg/plot) in T15 [T1 (spray of Spinosad) + T2 (spray of neem seed kernel extract) + T3 (release of C. carnea) + T4 (release of H. hebetor)] which was followed by T12 [T1 (spray of Spinosad) + T2 (spray of neem seed kernel extract) + T4 (releases of H. hebetor)] and T13 [T1 (spray of Spinosad) + T3 (release of C. carnea) + T4 (release of H. hebeor)] with values of 1475.568 and 1332.11 kg/ha, respectively. T1 (spray of Spinosad), T5 [(spray of Spinosad) + (spray of neem seed kernel extract)] and T15 proved the most economical pest management modules exhibiting CBR 1:6 followed by T7 [(sprays of Spinosad) + (releases of H. hebetor)] and T12 [(spray of Spinosad) + (spray of neem seed kernel extract) + (releases of H. hebetor)] which explained a CBR of 1:5.5 approximately.