Blar i NTNU Open på forfatter "Khan, Akif Quddus"
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Big data workflows: Locality-aware orchestration using software containers
Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru (Journal article; Peer reviewed, 2021)The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ... -
Cloud Cost Modelling and Optimisation: A Taxonomy and Approaches for Storage Object Classification and Cloud Resource Placement
Khan, Akif Quddus (Doctoral theses at NTNU;2024:508, Doctoral thesis, 2024)The adoption of cloud services continues to rise due to their flexibility and potential cost savings. However, the cost structure of cloud services is complex and often leads to significant service wastage. Existing cost ... -
Cloud storage cost: a taxonomy and survey
Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Journal article; Peer reviewed, 2024)Cloud service providers offer application providers with virtually infinite storage and computing resources, while providing cost-efficiency and various other quality of service (QoS) properties through a storage-as-a-service ... -
Cloud storage tier optimization through storage object classification
Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2024)Cloud storage adoption has increased over the years given the high demand for fast processing, low access latency, and ever-increasing amount of data being generated by, e.g., Internet of Things applications. In order to ... -
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers
Nikolov, Nikolay; Dessalk, Yared Dejene; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (Journal article; Peer reviewed, 2021)Big Data processing, especially with the increasing proliferation of Internet of Things (IoT) technologies and convergence of IoT, edge and cloud computing technologies, involves handling massive and complex data sets on ... -
Cost modelling and optimisation for cloud: a graph-based approach
Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2024) -
Locality-Aware Workflow Orchestration for Big Data
Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (Chapter, 2021)The development of the Edge computing paradigm shifts data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructure. Such a paradigm requires data processing solutions that ... -
Smart Data Placement for Big Data Pipelines with Storage-as-a-Service Integration
Khan, Akif Quddus (Master thesis, 2022)Big data pipelines are developed to process big data and turn it into useful information. They are designed to support one or more of the three big data features commonly known as the three Vs (Volume, Velocity, and Variety). ... -
Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model
Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Song, Hui; Roman, Dumitru; Soylu, Ahmet (Chapter, 2022)The development of big data pipelines is a challenging task, especially when data storage is considered as part of the data pipelines. Local storage is expensive, hard to maintain, comes with several challenges (e.g., data ... -
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines
Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (Journal article; Peer reviewed, 2023)Big data pipelines are developed to process data characterized by one or more of the three big data features, commonly known as the three Vs (volume, velocity, and variety), through a series of steps (e.g., extract, ... -
A Taxonomy for Cloud Storage Cost
Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2023)The cost of using cloud storage services is complex and often an unclear structure, while it is one of the important factors for organisations adopting cloud storage. Furthermore, organisations take advantage of multi-cloud ... -
Towards Cloud Storage Tier Optimization with Rule-Based Classification
Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2023)Cloud storage adoption has increased over the years as more and more data has been produced with particularly high demand for fast processing and low latency. To meet the users’ demands and to provide a cost-effective ... -
Towards Graph-based Cloud Cost Modelling and Optimisation
Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Chapter, 2023)Cloud computing has become an increasingly popular choice for businesses and individuals due to its flexibility, scalability, and convenience; however, the rising cost of cloud resources has become a significant concern ...