Saeid GhafouriQueen Mary, University of London | QMUL · School of Electronic Engineering and Computer Science
Saeid Ghafouri
Master of Science
About
13
Publications
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Publications
Publications (13)
![The general framework of the link prediction method using ERGM [73]](publication/375088228/figure/fig5/AS:11431281202135836@1698722538882/The-general-framework-of-the-link-prediction-method-using-ERGM-73_Q320.jpg)
This article delves into the analysis and identification of influential individuals within social networks, a fundamental issue in the realm of social network science and complex network analysis. Within social networks, the impact of individuals on information propagation, shaping beliefs, and influencing the behavior of others is of paramount imp...
Efficiently optimizing multi-model inference pipelines for fast, accurate, and cost-effective inference is a crucial challenge in ML production systems, given their tight end-to-end latency requirements. To simplify the exploration of the vast and intricate trade-off space of accuracy and cost in inference pipelines, providers frequently opt to con...
The use of machine learning (ML) inference for various applications is growing drastically. ML inference services engage with users directly, requiring fast and accurate responses. Moreover, these services face dynamic workloads of requests, imposing changes in their computing resources. Failing to right-size computing resources results in either l...
The understanding of how users in a network update their opinions based on their neighbours opinions has attracted a great deal of interest in the field of network science, and a growing body of literature recognises the significance of this issue. In this research paper, we propose a new dynamic model of opinion formation in directed networks. In...
p>In recent years Kubernetes has become the de facto standard in the realm of service orchestration. Despite its great benefits, there are still numerous challenges to make it compatible with decentralised cloud computing platforms. One of the challenges of mobile edge computing is that the location of the users is changing over time. This mobility...
p>In recent years Kubernetes has become the de facto standard in the realm of service orchestration. Despite its great benefits, there are still numerous challenges to make it compatible with decentralised cloud computing platforms. One of the challenges of mobile edge computing is that the location of the users is changing over time. This mobility...
With the modern advancements in Deep Learning architectures, and abundant research consistently being put forward in areas such as computer vision, natural language processing and forecasting. Models are becoming complicated and datasets are growing exponentially in size demanding high performing and faster computing machines from researchers and e...
Nowadays, online social networks have become an essential part of humans. However, there are some dark side to this widespread use of online social networks. One of them is the fact that many attackers have succeeded to clone celebrities’ profiles and have attracted hundreds or thousands of followers. This type of forging has caused many problems f...
The uncertainty underlying real-world phenomena has attracted attention toward statistical analysis approaches. In this regard, many problems can be modeled as networks. Thus, the statistical analysis of networked problems has received special attention from many researchers in recent years. Exponential Random Graph Models, known as ERGMs, are one...
Questions
Questions (3)
Is there any public dataset of microservices DAGs in production metadata? e.g. a dataset containing the shape of the microservice graph?
As part of my research, I need to analyze a ml inference tasks resource usage, performance etc. I'm looking for a dataset that could provide such information, So far I have found the https://github.com/alibaba/clusterdata/tree/master/cluster-trace-gpu-v2020 which is nice but I was wondering if any other similar dataset is available and if there is any other similar dataset which also provides the job dependency and latency of an ML inference pipeline?
Hi all,
Can someone please introduce some papers that have used Google Borg trace dataset (v2 or v3) for their simulation/analysis?
Link to the dataset: https://github.com/google/cluster-data
I'm specially looking for papers that have used this dataset in a simulation.
