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1-12 |
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HABC: Hybrid Optimization Method Based Resource Allocation for Improving the Energy Efficiency in Green Cloud
Abstract
Cloud computing is one of the most important and plays a significant role in computing world. It makes all the cloud users happy in providing various kinds of services under SAAS, PAAS, and IAAS. Due to the increased number of customer and customer demands on services the number of services deployed in the cloud is also getting increased. Services accessed by the customers by Pay-N-Use. The resources allocated related to the user's request virtually by considering the numbers of cloud users and resources. But actual resource allocation in heterogeneous cloud environments is complicated, and the accuracy is less, so that, these problems are leads to the high level of energy consumptions. Various methods, potential experiments, and algorithms are proposed in the earlier research works to increase the efficiency of the resource allocation with QoS. This paper discourse the problem of optimum resource allocation to a user with improved Quality of Service (QoS) using HABC (Hybrid Artificial Bee Colony) method and identify the better influencing parameters using Design of Experiment (DoE) tool. Initially, the user requests and the resources are validated, then map the scheduled resources and finally choose the best and allocate the right resources using HABC algorithm. The simulation is conducted using CloudSim tool. The obtained results verified and the performance is evaluated by comparing the results to different evolutionary algorithms. The parameters such as energy, time, cost, valid request, optimum number resources, accurate mapping, and allocation considered as the QoS parameters which are calculated from the simulation and presented here.
Keywords: Cloud Computing, Resource Allocation, Resource Mapping, Request Validation, Scheduling, Quality of Service.
Nomenclature
QoS: Quality of Service
DoE: Design of Experiment
SaaS: Software as a Service
PaaS: Platform as a Service
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13-23 |
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Comparative Studies of Liquefaction Natural Gas (LNG) & its Demand
Abstract
Natural gas has been formed by the degradation of organic matter accumulated in the past millions of years. Two main mechanisms (biogenic and thermogenic) are responsible for this degradation. Natural gas is a complex mixture of hydrocarbon and non-hydrocarbon constituents and exists as a gas under atmospheric conditions. The objective of gas processing is to separate: Natural gas, Condensate, Non-condensable, Acid gases, Water. The raw gas is first treated to remove typical contaminants. Next, the treated gas is chilled, cooled and condensed to -162°C in succession using propane, ethylene and methane. Last stage is pumping LNG to storage tanks and awaiting shipment. Liquefied natural gas is used to transport natural gas over long distances, often by sea. In most cases, LNG terminals are purpose built ports used exclusively to export or import LNG. Natural gas consists almost entirely of methane (CH4), the simplest hydrocarbon compound. India is the 14th largest gas consumer 58 bcm (~158 mmscmd), 4th largest LNG importer 31 bcm (~82 mmscmd), Economy growing at CAGR of about 6-7% with similar growth in Energy Consumption. Government aims to significantly increase share of Natural Gas in Indian Energy basket to in coming years. Despite increase in domestic gas production dependency on imported gas to increase substantially. Pipeline network developing into a national grid needs to grow faster, connecting new markets. ExxonMobil’s history in China dates back to 1892. This paper provides the present demand of LGN in India and also predicts future requirements, to help India’s economic and social growth.
Keywords:- LNG (Liquefied Natural Gas), Hydrate, Methane, Phase-Transition, CNG & LPG
3 |
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24-29 |
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EXPLORATION OF SURFACE HIDROLOGY ON GEOTHERMAL MANIFESTATION
Abstract
The Candi Umbul hot spring is located at Kartoharjo Village, Grabag Sub district, Magelang Regency. There is an archeological site at the hot spring area, which is improving the place to be an interesting object. Unfortunately the hot spring temperature is quite low, 33oC-35oC, then it was encouraged us carry out the survey. We apply geochemical method and shallow ground water aquifer observation. Candi Umbul geothermal field consist of three geothermal hot springs, there are distributed as a line parallel with geologic structure. The hot springs are characterized as bicarbonate and mature water that shows the system is an outflow zone. According to shallow water aquifer data, overabundance of meteoric water causing the hot spring becoming cool.
