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عشق دا مسلک

عشق دا مسلک

چھڈ کھاڑا توں غیر اللہ دا
پھڑ دامن توں اہل اللہ دا
اللہ سوہنے کرم کمایا
تینوں ہے انسان بنایا
نبیؐ دی اُمت توں سدوایا
بن سچا عاشق اللہ دا
چھڈ مسلک والے جھیڑے توں
کدی آن شرع دے ویہڑے توں
ہو کول نبیؐ دے، نیڑے توں
کر درشن نور تجلا دا
ولی دی محفل رنگ چڑھاندی
کدی نہ بُریاں وانگ لڑاندی
ذکر اذکار دا سبق پڑھاندی
دسے کلمہ خیری صلا دا

The Synergy Of Islamic Banking And Village-Owned Enterprises (BUMDes) To Strengthen Unbankable Business Capital

This study aims to determine the synergy that can be implemented between Islamic Bank and Village Owned Enterprises (BUMDes) to strengthen unbankable business capital and to assess the application of sharia contracts toward some products provided by BUMDes. The research methodology used qualitative analysis, primary data obtained from informants, namely one branch manager of Islamic Bank of Indonesian (BSI), Pekanbaru branch and 14 BUMDes leaders in Tambang District, Kampar. The results show that first: two forms of synergy can be implemented between BSI and BUMDes to strengthen unbankable business capital, namely BSI finances through BUMDes then distributed to the unbankable micro-entrepreneurs and BSI distributes directly to the unbankable micro-entrepreneurs based on  BUMDes recommendation then BSI provides a fee after BUMDes gives the guarantee, second: the application of sharia contracts toward some products supplied by BUMDes currently could use wadi`ah, mudharobah, musyarokah, murobahah, salam, istisna, ijaroh and wakalah.      

Location Aware and Energy Efficient Virtual Machine Placement and Migration Approach for Cloud

Cloud computing is an on-demand, ubiquitous provisioning of resources. Individual users and many organizations rely on Cloud to support their infrastructure, platform, and applications. To meet these huge demands, Cloud providers have to build enormous Cloud Data Centers (CDCs).CDCs comprise of a lot of resources and these are given to users haphazardly. Arbitrary provisioning of resources on different hosts creates a problem of low usage of host machines. This leads to the problem of inefficient use of resources. More active numbers of hosts contribute to the increase in energy consumption. This will not only increase cloud providers operating cost but also emit a large amount of Carbon Dioxide. Different techniques are used to maximize resource utilization and minimization in energy consumption like VM consolidation, cooling, and scheduling. Server consolidation maximize resource usage and minimize the active number of Physical Machines (PMs) in DCs. Server consolidation includes hosts under-load detection, host overload detection, VM Selection, VM Migration, and VM placement. A number of techniques are proposed by researchers for VM placement which includes Multi-Objective VM placement, Best Fit Decreasing (BFD), Genetic Algorithm Based Approach (GABP), Glow-worn Swarm Optimization, Multi-Objective Ant Colony, and Family Genetic Algorithm (FGA). Most of the proposed techniques consider efficient resource utilization however ignored energy consumption. In some other techniques, energy consumption is considered but they do not consider SLA violation. The proposed technique considers all problems. This research contributes to an Efficient Adaptive Migration Algorithm (EAMA) for dynamic VM migration and placement. The proposed technique minimizes the energy consumption, active number of hosts, maximize the resource utilization and keep a balance in Service Level Agreement (SLA) requirements. For the performance evaluation of the proposed technique CloudSim toolkit is utilized Chapter 1 describes the introduction of the Cloud computing. We have also discussed the aim and objectives of the research. The brief summary of the following chapters is also discussed.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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