Ayesha Anjum Butt

Ayesha Anjum Butt
COMSATS University Islamabad | CUI · Department of Computer Science

MS

About

19
Publications
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194
Citations

Publications

Publications (19)
Article
Full-text available
Smart Grid (SG) plays vital role in modern electricity grid. The data is increasing with the drastic increase in number of users. An efficient technology is required to handle this dramatic growth of data. Cloud computing is then used to store the data and to provide numerous services to the consumers. There are various cloud Data Centers (DC), whi...
Conference Paper
Full-text available
Smart Grid (SG) gives the opportunity of two way communication to consumers and utility. SG balances and monitors the consumption of electricity of the consumers. The concept of fog and cloud is introduced in order to enhance SG efficiency. Cloud gives computational and storage facilities to the users. The delay and latency issues arise because of...
Conference Paper
Full-text available
Reducing delay and latency in cloud computing environment is a challenging task for the research community. There are several smart cities in the world. These smart cities contain numerous Smart Communities (SCs), which have number of Smart Buildings (SBs) and Smart Homes (SHs). They require resources to process and store data in cloud. To overcome...
Conference Paper
Full-text available
Cloud servers provide services over the internet by using Virtual Machines (VMs). The power consumption of Physical Machines (PMs) needs to be considered, as VMs are running on physical machines. When a consumer sends request to the cloud, it takes time to respond because of distant location of cloud. Due to which delay and latency issue arises. Fo...
Chapter
Full-text available
The energy demand is increasing day by day due to the huge amount of residential appliance’s energy consumption, which creates more shortage of electricity. Industrial and commercial areas are also consuming large amount of energy, but residential energy demand is more flexible as compared to other two. Nowadays, many of the techniques are presente...
Chapter
Full-text available
Reducing delay and latency in the cloud computing environment is a challenge for the present research community. This study performed a rigorous, comparative analysis of the fog computing paradigm and the conventional cloud computing paradigm in the context of the Smart Grid (SG). To meet the consumers’ demand and optimize cloud services to achieve...
Thesis
Full-text available
Demand Side Management (DSM) is an effective and robust scheme for energy management, Peak to Average Ratio (PAR) reduction and cost minimization. Many DSM techniques have been proposed for industrial, residential and commercial areas in last years. Smart Grid (SG) gives the opportunity of two-way digital communication to consumers and utility. SG...
Article
Full-text available
Cloud computing offers various services. Numerous cloud data centers are used to provide these services to the users in the whole world. A cloud data center is a house of physical machines (PMs). Millions of virtual machines (VMs) are used to minimize the utilization rate of PMs. There is a chance of unbalanced network due to the rapid growth of In...
Chapter
Full-text available
In this paper, Smart Grid (SG) efficiency is improved by introducing Cloud-based environment. To access the services and hostage of cloud large number of requests are entertained from Smart Homes (SHs). These SHs exists in clusters of smart buildings. When the number of requests increase, delay, latency and response time also increase. To overcome...
Conference Paper
Demand Side Management (DSM) is an efficient and robust strategy for energy management, Peak to Average Ratio (PAR) reduction and cost minimization. Many DSM techniques have been proposed for industrial, residential and commercial areas in last years. In this paper, we have design Home Energy Management Scheduler (HEMS) using two algorithms Genetic...
Conference Paper
The introduction of Smart Grid (SG) in recent years provide the opportunity to the consumer to schedule their load in such an efficient manner that reduces the bill and also minimizes the Peak to Average Ratio. This paper focuses on scheduling the appliances in a more feasible and energy conservative way to satisfy both consumer and utility. In thi...
Conference Paper
The increase in the energy consumption causes a serious crisis, especially during on-peak hours when the demand of energy consumption is high. Consequently, the peak to average ratio and electricity cost will be increased. This issue can be overcome by integrating Demand side management (DSM) with traditional Smart grid (SG), so that electricity ut...
Conference Paper
In this paper, we have designed home energy management scheduler (HEMS) based on three heuristic algorithms such as, harmony search algorithm (HSA), firefly algorithm (FA) and bacteria foraging optimization algorithm (BFOA) with combination of critical peak pricing (CPP) signal model. Moreover, we are evaluating performance of above mentioned algor...
Conference Paper
Full-text available
In this paper, Smart Grid (SG) efficiency is improved by introducing Cloud-based environment. To access the services and hostage of cloud large number of requests are entertained from Smart Homes (SHs). These SHs exists in clusters of smart buildings. When the number of requests increases, delay, latency and response time also increase. To overcome...
Conference Paper
Fog computing concept is introduced to reduce the load on cloud and provide similar services as cloud. However, fog covers small area rather than cloud by storing the data temporarily and sends data to cloud for permanent storage. In this paper, an integrated fog and cloud based environment for effective energy management of buildings is proposed....
Conference Paper
Demand Side Management (DSM) is an efficient and robust strategy for energy management, Peak to Average Ratio (PAR) reduction and cost minimization. Many DSM techniques have been proposed for industrial, residential and commercial areas in last years. In this paper, we have design Home Energy Management Scheduler (HEMS) using two algorithms Genetic...
Conference Paper
The introduction of Smart Grid (SG) in recent years provide the opportunity to the consumer to schedule their load in such an efficient manner that reduces the bill and also minimizes the Peak to Average Ratio. This paper focuses on scheduling the appliances in a more feasible and energy conservative way to satisfy both consumer and utility. In thi...
Conference Paper
The increase in the energy consumption causes a serious crisis, especially during on-peak hours when the demand of energy consumption is high. Consequently , the peak to average ratio and electricity cost will be increased. This issue can be overcome by integrating Demand side management (DSM) with traditional Smart grid (SG), so that electricity u...
Conference Paper
In this paper, we have designed home energy management scheduler (HEMS) based on three heuristic algorithms such as, harmony search algorithm (HSA), firefly algorithm (FA) and bacteria foraging optimization algorithm (BFOA) with combination of critical peak pricing (CPP) signal model. Moreover, we are evaluating performance of above mentioned algor...

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