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Pcam a Project Coordination System

Thesis Info

Author

Riffat Yaqoob

Supervisor

Onaiza Maqbool

Department

Department of Computer Sciences, QAU

Program

MSc

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Page

46

Subject

Computer Sciences

Language

English

Other

Call No: DISS / MSC / COM/ 2203

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676718078146

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میں صحنِ دل کے پت جھڑ کو بہارِ جاوداں کر لوں


میں صحنِ دل کے پت جھڑ کو ، بہارِ جاوداں کر لوں
محبت جانِ عالمؐ کی ، اگر روحِ رواں کر لوں

غم و آلامِ دنیا سے ، ذرا سا بھی جو گبھرائے
تو یادِ مونسِ جاںؐ سے ، میں دل کو شادماں کر لوں

سجائی بزمِ عالم ؛ جنؐ کی خاطر ؛ خالقِ کُل نے
اُنھیؐ کا ذکر کرنے کو ، میں بزمِ دوستاں کر لوں

سمائی نکہتِ بادِ بہاری میں مہک جنؐ کی
اُنھیںؐ سے خوشبوئیں لے کر میں دل کو گلستاں کر لوں

یہی سالک کو لے کر جا رہا ہے منزلِ حق پر
اسی نقشِ قدم کو چوم کر ، منزل نشاں کر لوں

اِدھر کر لوں زبانِ اشک سے عرضِ تمنا بھی
اُدھر چشمِ تصور میں سنہری جالیاں کر لوں

ادب گاہِ عقیدت میں کہاں الفاظ جچتے ہیں
’’طریقہ سب سے بہتر ہے کہ اشکوں کو زباں کر لوں‘‘

دلِ بے تاب کے لمحات اُنؐ کی یاد میں گزریں
جہانِ رنگ و بُو میں کیوں انھیں میں رائیگاں کر لوں

دلِ فرقت زدہ عرفانؔ! اُنؐ کے ذکر سے خوش ہو
میں صبح و شام اُنؐ کے نام کو وردِ زباں کر لوں

الشورى في الاسلام

Counseling is a vital pillar of Islamic Shariah by which teachings of Islam are interpreted to solve the modem day problems. It plays a crucial role in highlighting and resolving the collective issues of Muslim Ummah. The West has risen to this power and status because their thinktank body works actively. They have the current situation under their scrutiny and thus hold a guiding light for their nations. It is hightime for the Muslim Ummah to act proactively for the solution of multiple problems being faced by the Muslim Ummah. A think-tank body of the Muslim Ummah may not only unite the Muslim Ummah but it may pave the way for glorifying the Muslim Ummah. Such a think-tank shall give representation to the Muslim scholarly community.

Load based approach for backoff process modeling & queuening analysis of IEEE 802.11 based wirless LANs

This dissertation deals with the accurate backoff process modeling of the IEEE 802.11 Distributed Coordination Function( DCF) and characterization of traffic distribution. The backoff process has a significant impact on the performance of the IEEE 802.11 DCF protocol depending on the offered load conditions on the network; unsaturated or saturated load conditions. In unsaturated load conditions a short backoff' is desrable due to emerging queueing dynamics. While in saturated load conditions where thequeue might be full, a long backoff process will help in avoiding collisions. Several attempts have been made to develop an analytical model to correctly represent the behavior of the actual backoff process in unsaturated and saturated load conditions. However what seems to be lacking in existing approaches is the consideration of offered load as the key parameter to modeling the backoff process. Since the offered load has a critical role in the backoff process modeling assumptions, in this thesis a complete mathematical model of the DCF protocol is developed to provide a framework through which the IEEE 802.11 medium access control (MAC) behavior can be evaluated. The I motivations for this thesis are enumerated below: (i) To enhance existing legacy models on the DCF, as upcoming IEEE 802.11 amendments (versions 11 ac, 11 ad, 11 ah, 11 af, etc.) are based on it. The current enhanced distributed channel access (EDCA) scheme of the IEEE 802.11-2012 standard (IEEE P802.11ac/D3.0 2012) is only a technical extension of DCF. It may also be noted that the upcoming IEEE 802.11ac and .11 ad standard amendments (IEEE 802.H-2012 .2012: IEEE P802.11adiD8.0 2011) are also based on the core MAC of IEEE 802.11-2012. (ii) To revisit assumptions behind existi the vast amount of literature work, issues such as how closely an models in favor of improved accuracy. Despite analytical model captures with the actual DCF back off process have remained open (Tinnirello, Bianchi, and Xiao 2010). One of the key reasons for the lack of accuracy in the models lies in the approximations due to assumptions. Thus, revisiting the assumptions of existing models is still desirable for improved accuracy. (iii) To study the offered load dependency on service time distribution for selecting the appropriate queuing model. In literature (T. Li, Leith, and Malone 2011; Zanella and De Pellegrini 2005) several attempts have been made to study the variation in the mean service time for arbitrary offered loads. However, showing the dependency in the form of patterns could provide a useful tool for selecting the right queuing model and further enhance the accuracy of performance analysis. (iv) To harmonize and unify disjoint approaches to unsaturated and saturated load analysis. In the literature, the unsaturated (Engelstad and Osterbo 2006; Duffy, Malone, and Leith 2005; Tickoo and Sikdar 2008; Pham, Perreau, and Jayasuriya 2005; Vardakas et al. 2007; Dong et al. 2008; Zhao, Tsang, and Sakurai 2011) and saturated load (Tinnirello, Bianchi, and Xiao 2010; Pham, Perreau, and Jayasuriya 2005; Vardakas et al. 2007; Bianchi 2000; Foh and Tantra 2005) performance analysis has been addressed separately and there is a need to have a unified approach. This thesis seeks to address the issues highlighted above and provides a framework for studying the average end-to-end packet delay for arbitrary loads. Furthermore, the characterization of the service time distribution through the dependency patterns is also discussed. The dependency patterns constructed using the newly proposed backoff process model provides greater insight into queueing modeling assumptions. With an accurate backoff process model, the queueing model can be analyzed independent of the IEEE 802.11 DCF model. Thus, traffic modeling can be analyzed separately without the fear of errors emanating from the underlining IEEE 802.11 DCF analytical model. Inaccuracies can thus be treated by observing the traffic pattern and modeling it more closely