39 research outputs found

    Financial Crisis and Its Impact on the Economies of China and India

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    The study will focus on the current financial crisis and its impact on the growth, trade and employment in emerging market economies (EMEs) namely China and India. The emerging market economies are characterized as transitional, which means that they are in the process of moving from a closed to an open market economy. It is said that by adoption of neoliberal policies, the economy will suppose to lead to a better economic performance levels, as well as transparency and efficiency in the capital market. The proponents of the ‘neoliberal economic policies’ always maintained that it is working and as a consequence, for example, the Indian economy is growing at high rates, the stock market is booming, foreign reserve is at a comfortably high level. The ‘free trade’ policy is making availability of a variety of goods unimaginable earlier as a mark of the benefits of globalization. The ‘invisible hand’ of the market, tries to pretend that market operates in isolation. On the basis most recent available data and studies the author has examined the impact of financial crisis on the economic growth and various sectors of the economies in China and India. Finally, the author finds the argument that China emerging as the alterative engine of growth for the world economy is too ambitious. Some have suggested that a ‘decoupled Asia’ through its own growth and expanding domestic demands would ensure higher imports demands for its growing economies and thus limit the economic slowdown in the developed economies. But this is unlikely due to: the US, EU and Japan together account for more than half of China’s exports, and as recession deepens, it is bound to affect export sector and overall economic activity in China

    Globalisation and Neo-liberal Economic Reforms in India: A Critical Review

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    The objective of this study is to analyse the impact of neo-liberal economic reforms also known as ‘pro-market’ reforms in India. It is widely believed that India’s growth acceleration has taken place mainly due to changes in the government’s attitudes towards business and export orientation rather than earlier domestic policies. This paper shows that the turnaround growth took place in the early 1980s rather than the early 1990s as portrayed by international financial institutions and media. We find the current discussions overlook other aspects such as inter-sectoral and inter-regional imbalances. The importance of the manufacturing sector is not properly examined, which could play an important role in creating jobs, and its crucial role in employment generation is being underplayed. This research presents the broad macro parameters of the growth of the Indian economy in both periods, i.e. pre and post reforms period, and also very briefly comparison is made with the colonial period, however, simply looking at the economic growth figures might be misleading. Therefore, we decided to analyse other variables, such as inter-regional and inter-sectoral changes and also look at the issue of poverty during pre and post-reform periods. The author critically examines the issues of foreign direct investment, particularly during the neo-liberal period in India, also focusing on cross region evaluation, drawing out the patterns discernible from available data. The study provides an overview of the on-going debate on the components of Indian-growth and the relative importance of government policies. The study has questioned some assertions concerning neoliberal reforms and growth in India in particular the argument that poverty has been reduced, is problematic

    Henge: An intent-driven scheduler for multi-tenant stream processing

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    This thesis presents Henge, a system that supports intent-based multi-tenancy in modern stream processing applications. Henge supports multi-tenancy as a first-class citizen: everyone inside an organization can now submit their stream processing jobs to a single, shared, consolidated cluster. Additionally, Henge allows each tenant (job) to specify its own intents (i.e., requirements) as a Service Level Objective (SLO) that captures latency and/or throughput. In a multi-tenant cluster, the Henge scheduler adapts continually to meet jobs’ SLOs in spite of limited cluster resources, and under dynamic input workloads. SLOs are soft and are based on utility functions. Henge continually tracks SLO satisfaction, and when jobs miss their SLOs, it wisely navigates the state space to perform resource allocations in real time, maximizing total system utility achieved by all jobs in the system. Henge is integrated in Apache Storm and the thesis presents experimental results, using both production topologies and real datasets.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01The student, Faria Kalim, accepted the attached license on 2017-12-04 at 13:41.The student, Faria Kalim, submitted this Thesis for approval on 2017-12-04 at 13:51.This Thesis was approved for publication on 2017-12-04 at 16:54.DSpace SAF Submission Ingestion Package generated from Vireo submission #11818 on 2018-03-13 at 10:37:19Made available in DSpace on 2018-03-13T17:35:43Z (GMT). No. of bitstreams: 2 KALIM-THESIS-2017.pdf: 3149824 bytes, checksum: 1a1d9956c624f4aa3d379806d5627319 (MD5) LICENSE.txt: 4208 bytes, checksum: 12a2f1944760a6e0d6e4e380714f485b (MD5) Previous issue date: 2017-12-04Embargo set by: Seth Robbins for item 105472 Lift date: 2020-03-13T17:36:05Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 105472 on 2020-03-14T09:15:12Z

    Analisis Hadis Riwayat Al-Tirmidzi Tentang Pendidikan Akal Menggunakan Aplikasi Jawami’ Al-Kalim

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    Analysis Of History Of Al-Tirmidzi About Reasoning Education Using Jawami' Al-Kalim Application  Intellectual education is a very important thing, even ijtihad as the fruit of reason thinking is one of the most important sources of law in Islam. This study aims to analyze: 1) understanding of reason education 2) comparison of the hadith of al-Tirmidhi's history of reason education 3) the process of transmission and quality of the hadith of al-Tirmidhi's history of reason education 4) istimbath and application of the content of the hadith of al-Tirmidhi's history about intellectual education on the theory or practice of Islamic education. The research approach used is qualitative research with library research instruments and the research method used is descriptive method. In analyzing this hadith the author uses the help of the Jawami 'al-kalim application. The results of this study provide the following conclusions: 1) mind education is to shape the mindset of students towards everything that is useful, whether in the form of syar'i science, culture, modern science, awareness, thought, and civilization; 2) this hadith was narrated by several narrators such as Muhammad bin Isha At-Tirmidhi in the book Jami'u At-Tirmidhi hadith number 1245, Ahmad bin Hanbal in the Musnad Ahmad bin Hanbal book hadith number 21492, Abu Daud in the book Sunan Abi Daud hadith number 3121 and Abdullah bin Abul Ar-Rahman Ad-Darimy in the book of Sunan Darimi hadith number 168; 3) this hadith is a dho'if hadith but is a maqbul min hadith hasan li ghairi; 4) the results of the istimbath hadith show that the Prophet Muhammad provided broad opportunities for the development of reason in order to bring together humans with their own nature. This is relevant to the concept of education, namely reason and intellect must be developed

    Maritime Economy and Gwadar Port: A Growth Catalyst

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    Today maritime economy recognizes the seas and oceans as the main driving force for the sustainable economic growth across the globe. Pakistan with its unique geographic location is blessed with approximately 1050 km long coastline and the Exclusive Economic Zone (EEZ) covering an area of about 240,000 sq km. In a brief history of globalization, seaborne trade and sea ports have made significant contributions towards socioeconomic development, thereby strengthening economic ties among states of various regions. Similarly, Pakistan's Gwadar port emerges as an ideal hub port in the region due to its unique strategic placement to attract trade from Central Asia, Afghanistan, west China and other countries due to its proximity to the Strait of Hormuz (SoH), which is the main shipping route, and connects the Persian Gulf with the Gulf of Oman and the Arabian Sea. Today, Gwadar's geostrategic positioning enables it to monitor and control the oil trade routes and Sea Lines of Communications (SLOCs) between the regions of South Asia, West Asia, Africa and Central Asia. Gwadar's deep–sea port characteristic is one of the rare features which equips it to expand its operation to the 88 berths and capacity to anchor gigantic vessels from 100,000 DWT to 200,000 DWT. The working capacity of the Gwadar Port is equal to the Persian Gulf ports. This paper attempts to determine the potential and strength of the Gwadar Port as a growth catalyst for Pakistan as the country's international trade is directed through the sea

    Satisfying service level objectives in stream processing systems

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    An increasing number of real-world applications today consume massive amounts of data in real-time to produce up to date results. These applications include social media sites that show top trends and recent comments, streaming video analytics that identify traffic patterns and movement, and jobs that process ad pipelines. This has led to the proliferation of stream processing systems that process such data to produce real-time results. As these applications must produce results quickly, users often wish to impose performance requirements on the stream processing jobs, in the form of service level objectives (SLOs) that include producing results within a specified deadline or producing results at a certain throughput. For example, an application that identifies traffic accidents can have tight latency SLOs as paramedics may need to be informed, where given a video sequence, results should be produced within a second. A social media site could have a throughput SLO where top trends should be updated with all received input per minute. Satisfying job SLOs is a hard problem that requires tuning various deployment parameters of these jobs. This problem is made more complex by challenges such as 1) job input rates that are highly variable across time e.g., more traffic can be expected during the day than at night, 2) transparent components in the jobs' deployed structure that the job developer is unaware of, as they only understand the application-level business logic of the job, and 3) different deployment environments per job e.g., on a cloud infrastructure vs. on a local cluster. In order to handle such challenges and ensure that SLOs are always met, developers often over-allocate resources to jobs, thus wasting resources. In this thesis, we show that SLO satisfaction can be achieved by resolving (i.e., preventing or mitigating) bottlenecks in key components of a job's deployed structure. Bottlenecks occur when tasks in a job do not have sufficient allocation of resources (CPU, memory or disk), or when the job tasks are assigned to machines in a way that does not preserve locality and causes unnecessary message passing over the network, or when there are an insufficient number of tasks to process job input. We have built three systems that tackle the challenges of satisfying SLOs of stream processing jobs that face a combination of these bottlenecks in various environments. We have developed Henge, a system that achieves SLO satisfaction of stream processing jobs deployed on a multi-tenant cluster of resources. As the input rates of jobs change dynamically, Henge makes cluster-level resource allocation decisions to continually meet jobs' SLOs in spite of limited cluster resources. Second, we have developed Meezan, a system that aims to remove the burden of finding the ideal resource allocation of jobs deployed on commercial cloud platforms, in terms of performance and cost, for new users of stream processing. When a user submits their job to Meezan, it provides them with a spectrum of throughput SLOs for their jobs, where the most performant choice is associated with the highest resource usage and consequently cost, and vice versa. Finally, we have built Caladrius in collaboration with Twitter that enables users to model and predict how input rates of jobs may change in the future. This allows Caladrius to preemptively scale a job out when it anticipates high workloads to prevent SLO misses. Henge is built atop Apache Storm, while Meezan and Caladrius are integrated with Apache Heron.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01The student, Faria Kalim, accepted the attached license on 2020-07-12 at 18:32.The student, Faria Kalim, submitted this Dissertation for approval on 2020-07-12 at 19:18.This Dissertation was approved for publication on 2020-07-14 at 16:13.DSpace SAF Submission Ingestion Package generated from Vireo submission #15582 on 2020-10-02 at 15:32:36Made available in DSpace on 2020-10-07T22:44:32Z (GMT). No. of bitstreams: 2 KALIM-DISSERTATION-2020.pdf: 5905449 bytes, checksum: 7284ebc2e7dfdecb79d114fadbaf5924 (MD5) LICENSE.txt: 4208 bytes, checksum: c7bbf1e92ce2c786651d7103887db176 (MD5) Previous issue date: 2020-07-14Embargo set by: Seth Robbins for item 116227 Lift date: 2022-10-07T22:44:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl

    Global Uncertainty and Monetary Policy Effectiveness in Pakistan

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    This article investigates monetary policy effectiveness in Pakistan in the presence of external uncertainties stemming from the economic growth of developed economies and international oil price movements. We estimate a structural VAR model to gauge the impact of international oil prices and global demand on key macroeconomic variables in Pakistan. Our findings suggest that monetary policy remains an effective tool for controlling inflation. An increase in oil prices (supply shock) leads to higher real policy rates, real exchange rate depreciation, an economic growth slowdown and rising inflation. A global demand surge leads to higher real policy rates, real exchange rate appreciation, economic growth and rising inflation. Real policy rates adjust upward in response to inflation and real exchange rate shocks. The real exchange rate depreciates if inflation increases. This indicates that the monetary authorities in Pakistan are generally able to stabilize consumer prices and real exchange rates in the economy

    Kalim Kashani

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    Kalīm Kāshāni, Abū Ṭālib (b. Hamadān, ca. 990-94/1581-85; d. Kashmir, 1061/1651), Persian poet and one of the leading exponents of the so-called Indian style (sabk-i hindī) particularly evident in his lyrics (ghazals). Poet laureate at the court of the Mughal emperor Shāh Jahān (1037-67/1628-57), he was author of a collection of original poems in different genres and a long narrative poem dedicated to celebrate his patron
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