- Advanced Data Storage Technologies
- Caching and Content Delivery
- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Cloud Computing and Resource Management
- Distributed systems and fault tolerance
- Cloud Data Security Solutions
- Scientific Computing and Data Management
- Privacy-Preserving Technologies in Data
- Disaster Management and Resilience
- Disaster Response and Management
- Video Coding and Compression Technologies
- Peer-to-Peer Network Technologies
- IoT and Edge/Fog Computing
- Quantum Mechanics and Applications
- Advanced Image Processing Techniques
- Image and Video Quality Assessment
- Geographic Information Systems Studies
- Global Health Workforce Issues
- Chromium effects and bioremediation
- Flood Risk Assessment and Management
- Data Management and Algorithms
- Advanced Data Compression Techniques
- China's Ethnic Minorities and Relations
- Quantum Computing Algorithms and Architecture
Oak Ridge National Laboratory
2021-2025
Oakland University
2024
University of Engineering and Technology Peshawar
2023
Khyber Medical College
2021-2023
McGill University
2023
Bacha Khan University
2023
University of Toronto
2023
Hayatabad Medical Complex
2023
Nottingham University Hospitals NHS Trust
2023
Khyber Girls Medical College
2023
For an exhaustive removal of Cr(VI), three different types biochar were prepared, modified and evaluated for Cr(VI) from wastewater. Magnetic eucalyptus (MBC) was synthesized via a facile pyrolysis process pretreated with FeCl3 firstly coupled K2CO3 activation. As comparison, raw (BC) (FBC) prepared. The physicochemical property adsorbent synthesis mechanism examined using BET, SEM EDS, zeta potential, XRD, FTIR, XPS Vibrating sample magnetometer (VSM), the effect various reaction conditions...
Supercomputer design is a complex, multi-dimensional optimization process, wherein several subsystems need to be reconciled meet desired figure of merit performance for portfolio applications and budget constraint. However, overall, the HPC community has been gravitating towards ever more Flops, at expense many other subsystems. To draw attention overall system balance, in this paper, we analyze balance ratios architectural trends world's most powerful supercomputers. Specifically, have...
School emergency preparedness must be enhanced to save the lives of children and reduce adverse impacts on school education system. The gender dimension school-going can help understand assess dynamics vulnerabilities in settings. This paper quantifies gender-based knowledge about for a crisis. Gilgit city, multi-hazard prone area Northern Pakistan, was taken as case study area. Slovin's sampling method employed estimate minimum required sample size. data collected using structured...
An increasing shift towards non-communicable diseases and an existing high surgical burden of disease in low-middle-income countries (LMICs) has impelled the need for implementing laparoscopic surgery, a safe cost-effective service. However, despite countless benefits, surgery programs remain limited throughout LMICs, understanding is known healthcare professionals' views regarding implementation their local environments. Therefore, purpose this study to better understand perceived...
Researchers and practitioners in the fields of science engineering encounter significant challenges when it comes to mitigating proliferation computer worms, owing their rapid spread within communication networks. This study delves into a comprehensive analysis mathematical model governing hazard worm propagation such Specifically, framework employed herein encompasses system ordinary differential equations. In numerous instances, models have been quantitatively investigate patterns worms...
Data services such as search, discovery, and management in scalable distributed environments have traditionally been decoupled from the underlying file systems, are often deployed using external databases indexing services. However, modern data production rates, looming movement costs, lack of metadata, entail revisiting system-data design philosophy. In this article, we present TagIt, a service framework aimed at scientific datasets, which can be integrated into prevalent system...
Deduplication has been largely employed in distributed storage systems to improve space efficiency. Traditional deduplication research ignores the design specifications of shared-nothing such as no central metadata bottleneck, scalability, and rebalancing. Further, introduces transactional changes, which are prone errors event a system failure, resulting inconsistencies data metadata. In this paper, we propose robust, fault-tolerant scalable cluster-wide that can eliminate duplicate copies...
Scientific communities are increasingly adopting deep learning (DL) models in their applications to accelerate scientific discovery processes. However, with rapid growth the computing capabilities of HPC supercomputers, large-scale DL have spend a significant portion training time performing I/O parallel storage system. Previous research works investigated optimization techniques such as prefetching and caching. Unfortunately, there exist non-trivial challenges existing solutions on...
Scientific applications often require high-bandwidth shared storage to perform joint simulations and collaborative data analytics. Shared memory pools provide a chance satisfy such needs. Recently, high-speed network as Gen-Z utilizing persistent (PM) offers an opportunity create pool connected compute nodes. However, there are several challenges use scientific on the directly scalability, failure-atomicity, lack of metadata-based search query. In this paper, we propose MOSIQS, object...
In Pakistan, trauma is a significant public health issue accounting for the second leading cause of disability and fifth healthy years life lost. Well-developed systems, utilizing registries, have been proven to decrease morbidity mortality from injuries, helped reduce number injured patients. most data on injury are acquired through methods that retrospective, incomplete, open recall bias. To end, registry was piloted at Lady Reading Hospital (LRH) in Peshawar, Pakistan elucidate importance...
Deduplication has been principally employed in distributed storage systems to improve space efficiency. Traditional deduplication research ignores the design specifications of shared-nothing such as no central metadata bottleneck, scalability, and rebalancing. Likewise, inline integration poses serious threats system read/write performance, consistency, scalability. Mainly, this is due ineffective error-prone metadata, duplicate lookup I/O redirection, placement content fingerprints data...
Voice spoofing attacks pose a significant threat to automated speaker verification systems. Existing anti-spoofing methods often simulate specific attack types, such as synthetic or replay attacks. However, in real-world scenarios, the countermeasures are unaware of generation schema attack, necessitating unified solution. Current solutions struggle detect artefacts, especially with recent mechanisms. For instance, algorithms inject spectral temporal anomalies, which challenging identify. To...
Inline deduplication dramatically improves storage space utilization. However, it degrades I/O throughput due to computeintensive operations such as chunking, fingerprinting or hashing of chunk content, and redundant lookup I/Os over the network in path. In particular, fingerprint hash generation content contributes largely degraded is computationally expensive. this article, we propose CROCUS, a framework that enables compute resource orchestration enhance cluster-wide performance. CROCUS...
With the increasing adoption of edge computing, capacity requirements servers are also growing. Especially data volume generated from a large number clients and/or devices demand more to be able store them for processing. The growing gap between and current storage is motivating need towards building aggregated spaces. Aggregated can an effective way extend servers' overall by combining resources other nodes under agreement share. Several Federation file systems exist meet this aggregate...
This paper presents Mosiqs, a persistent memory object storage framework with metadata indexing and querying for scientific computing. We design Mosiqs based on the key idea that objects shared PM pool can live beyond application lifetime become sharing currency applications scientists. provides an aggregate atop array of devices to store access objects. uses lightweight key-value manage such as pointer mappings, which enables effective collaborations. is implemented PMDK. evaluate proposed...
In this paper, we propose OctoKV, an innovative network-based key-value storage system. OctoKV addresses the repetitive address translation overhead associated with traditional stores running on file systems client side. To mitigate overhead, implemented store server side using NVMe-oF and a user-level NVMe driver. particular, employed fine-grained resource monitoring load balancing based heuristics to optimize I/O performance. is deployed Linux cluster Intel SPDK. The extensive evaluation...
This paper shows mathematically and experimentally that inline deduplication is not suitable for file systems on ultra-low latency Intel Optane DC PM devices in terms of performance, proposes DeNova, an offline specially designed log-structured NVM such as NOVA. DeNova offers high-performance low-latency I/O processing executes the background without interfering with foreground I/Os. employs DRAM-free persistent metadata, favoring CPU cache line, ensures failure consistency any system...
With the growing volumes of data, many organizations are deploying geo-distributed edge servers and building federations atop to improve data sharing, effective collaborations, analytics. Multiple federation file systems designed satisfy such needs, but due application-specific architectures, these neglect some important features that can overall performance. In this paper, we address challenges federated systems, in particular, global namespace, optimal placement analysis, efficient...