Articles tagged with Cloud Computing
Researchers at the University of Arizona are developing fog computing to address high-speed data demands in applications like telemedicine and smart transportation. By moving data processing closer to users, fog computing reduces latency and enables real-time decision-making.
Researchers analyzed mountain glaciers using satellite imagery and found that 4.4% of the glacier surface is covered in debris, with uneven distribution towards poles and steep mountain regions. The study provides a basis for future modeling of debris impact on ice and can inform monitoring efforts to mitigate effects on water resources.
The study proposes a three-tier architecture based on an ant colony algorithm to improve Cloud performance, reducing response time and cost.
A new technology, Sprocket, enables fast video processing by breaking down files into small pieces and processing them on thousands of servers. This reduces processing time to seconds, making it ideal for image searches within videos.
Researchers at University at Buffalo School of Management developed a new algorithm to establish pricing and allocate resources for cloud computing. The study provides practical formulas that companies can use to determine necessary resources and set charges for their customers.
The UTSA Open Cloud Institute is supporting collaborative R&D partnerships and creating educational opportunities through a $200,000 grant program. The institute is also launching a graduate-level certificate program in cloud computing to incorporate cloud expertise into engineering, computer science, and cybersecurity degrees.
The University of Texas at San Antonio has received a $5 million grant to create a multidisciplinary center focusing on cybersecurity and cloud computing. The Center for Security and Privacy Enhanced Cloud Computing (C-SPECC) aims to develop well-trained professionals in the industry and strengthen San Antonio as a cybersecurity hub.
A nationwide team of security experts, led by Clemson University's Hongxin Hu, is developing a new operating system to fundamentally change how large computer and network systems are built, making data more secure. The S2OS system could be transformative for cloud computing, protecting users' data from cyber threats.
Data centers struggle with translating service-level objectives into precise resource requirements, leading to low utilization and high costs. Researchers at UTA create a new model that allows mapping of customer objectives to individual server needs, guaranteeing services and improving efficiency.
Researchers developed a visual cloud computing architecture to streamline data processing in disaster situations. The system helps first responders and law enforcement make informed decisions by providing critical visual data, such as suspect tracking and hazardous material detection.
Researchers at Carnegie Mellon University are building a wearable cognitive assistance system called Gabriel that provides instructions for tasks like repairing equipment or assembling furniture. The system uses a wearable vision system and taps into cloud computing via 'cloudlets' to enable real-time guidance.
A new cloud-dew architecture offers a way to counteract cloud downtime and communication difficulties by providing a buffer between the local user and cloud servers. This lightweight local server retains a copy of the given user's data, making it available with or without an internet connection.
The iPlant Collaborative will manage Jetstream, a new all-science cyber-computing platform, providing a scalable and flexible interface for researchers in various disciplines. The platform enables easy use of cloud resources for large-scale and integrated data processing in science and engineering research.
The University of Texas at San Antonio has been awarded a grant to develop a DHS Scholars Program aimed at addressing biological and digital threats. The program will select exceptional students for research training in areas such as infection genomics, cloud computing, and digital forensics.
The proposed platform would leverage the cloud to expand individual device capabilities, supporting applications like healthcare, safety, and social interaction. The technology could also enable real-time searches of cell phone photos taken by people in the area to locate lost children.
UTSA has been awarded a $500,000 National Science Foundation grant to develop a security mechanism for cloud-based infrastructures. The goal is to provide users with comparable control over their virtual assets as they had on-premises.
The NSF has awarded $10 million to create a cloud computing testbed called Chameleon, enabling researchers to develop and experiment with novel cloud architectures. The testbed will provide persistent infrastructure clouds, 'bare metal' provisioning of hardware, and pre-configured software stacks for users to build cloud services.
The University of Wisconsin-Madison has been selected to participate in the National Science Foundation-funded CloudLab project, which aims to develop cloud infrastructure and support high-level research. The $2.3 million grant will enable researchers to evaluate novel cloud technologies in a realistic environment.
The NSF awards two $10 million projects to create cloud computing testbeds, enabling the academic research community to develop and experiment with novel cloud architectures. Chameleon and CloudLab will support real-time and safety-critical applications in medical devices, power grids, and transportation systems.
A new defense framework will be developed by UT Dallas professor Dr. Zhiqiang Lin to detect, diagnose and repair kernel malware attacks and enforce a prevention mechanism. The framework aims to detect malicious code sequences in the core of computer operating systems and prevent kernel malware infections.
A multi-university project aims to create inclusive user experiences on the internet, developing methods for software modification, authentication schemes, and crowdsourcing to increase accessibility for all. Researchers will explore ways to make web pages more accessible for people with disabilities.
The National Science Foundation has awarded a nearly $408,000 grant to three GW faculty members to develop technologies for tailored cloud computing services. The goal is to provide more choice for cloud consumers by offering flexible plans and optimized security.
Researchers developed a novel model to improve cloud computing infrastructure efficiency, reducing energy consumption and improving performance. They found that data location and competition for shared resources played key roles in server optimization, leading to 15-20% gains.
TransOS enables seamless interaction with files and applications from anywhere in the world, eliminating hardware and software dependencies. The researchers aim to extend TransOS beyond personal computers to other devices, including mobile phones and appliances.
Researchers from North Carolina State University have developed a new software tool to identify and respond to potential anomalies in cloud computing systems. The program uses system-level data to define normal behavior for each virtual machine, predicting anomalies that could affect system performance.
Researchers from Ruhr-Universität Bochum discovered that 80 percent of Single Sign-On (SSO) systems based on SAML have huge vulnerabilities. The team used novel XML Signature Wrapping techniques to circumvent digital signatures, impersonating users and system administrators in 12 affected systems.
Researchers at MIT have developed a technique to mitigate side-channel attacks, which can steal computer secrets by analyzing time it takes for a computer to store data or measure its power consumption. This approach obscures computational details, making it difficult for attackers to infer information about the program.
Fraunhofer researchers have developed the Cloud Control Center to provide global monitoring of cloud services and assess their security. The control center provides administrators with a customizable dashboard to track key figures and establish meaningful status reports about the entire cloud system.
Researchers identified six essential security aspects for cloud computing: confidentiality, integrity, availability, utility, authenticity, and possession. Users prioritize these elements based on personal needs, weighing pros and cons to reach a compromise.
At CeBIT, Karlsruhe Institute of Technology and FZI Research Center present interactive robots, safe cloud computing and virtual insights in the body. The humanoid kitchen robot ARMAR learns by watching and adapting to human gestures, while simulations open up new perspectives for complex problems.
Researchers at Ruhr-University Bochum discovered significant security gaps in Amazon Web Services, including the ability to take over administrative rights and access customer data through XML signature wrapping and cross-site scripting attacks.
Researchers developed a new approach to cloud security, 'Strongly Isolated Computing Environment' (SICE), to isolate sensitive information and workload from hypervisor functions. This reduces the attack surface and provides enhanced security.
A study by Fraunhofer-Gesellschaft and Hertie School of Governance explores the benefits and risks of cloud computing for public administration in Germany. Researchers are developing application scenarios for interoperable use of cloud-computing technologies, while also creating a Cloud Computing Test Laboratory to test security concepts.
Researchers from North Carolina State University and IBM have invented a tool called Nuwa, which protects virtual machines from cyber-attacks by ensuring they receive important security upgrades. The offline patching method is more than four times faster than online patch application.
The project will examine the feasibility of extending service-level agreements to cover aspects such as data integrity, information leakage control, and fair market pricing. The team aims to define a viable marketplace for cloud computing resources where users can verify the performance, security and privacy of acquired services.
Researchers at North Carolina State University developed HyperSentry software to detect hypervisor breaches in virtual computing clouds. This innovation measures hypervisor integrity without alerting the malware, helping prevent intelligent malware concealment tactics.
A new software, Myrna, uses cloud computing to analyze RNA sequencing data at an unprecedented speed and cost-effectiveness. The software calculated differential expression from 1.1 billion reads in under 2 hours for a cost of around $66.
A new study from North Carolina State University has developed a predictive model that can identify anomalies in large-scale hosting infrastructures, allowing for swift corrective actions and improved accuracy.
A team of researchers led by Dr. Bhavani Thuraisingham has developed a framework and incentives to enhance assured information sharing in cloud computing. The initiative, funded by AFOSR's Multidisciplinary University Research Initiative, aims to provide a secure environment for processing large amounts of data.
Researchers from North Carolina State University have developed HyperSafe software to secure hypervisors against malware attacks, ensuring the integrity of underlying systems. The new approach utilizes non-bypassable memory lockdown and restricted pointer indexing to prevent code modification.
Nimbus toolkit enables largest-ever distributed computing 'clouds' with Grid5000 testbed, showcasing cloud computing solution for scientists. Researchers won Grid5000 Large Scale Deployment Challenge award for deploying Nimbus over hundreds of nodes.
Dijiang Huang's secure mobile cloud computing research has earned a $510,000 ONR grant to develop advanced mobile wireless systems. The goal is to create a framework for mobile defense operations using cloud-computing techniques.
Emerging optical technologies will enable warehouse-scale computing data centers, allowing users to access their data from anywhere and at any time. Google's Cedric Lam highlights the importance of low-cost, high-bandwidth, and high-density optical fiber interconnects in powering cloud computing.
Carnegie Mellon University's School of Computer Science has joined the Open Cirrus test bed, a global open-source initiative for cloud computing research and education. The new facility will provide additional resources for researchers worldwide, enabling them to explore new applications and innovations in Internet-scale computing.
The University of Washington is leveraging cloud computing to facilitate data-intensive research on oceans and galaxies. Researchers are using the platform to explore climate simulations and analyze astronomical images, which previously were too large for individual computers to handle.
Researchers at Medical College of Wisconsin developed a set of free tools called ViPDAC to combine with Amazon's cloud computing service, providing inexpensive processing time for proteomics data analysis. This makes it possible for more users to analyze their data in greater depth and learn more about the systems they're studying.
Researchers at Brookhaven National Laboratory used Nimbus cloud computing infrastructure to dynamically provision virtual clusters on commercial cloud computers, enabling faster simulation results for the Quark Matter physics conference. The successful collaboration demonstrates the potential of virtualization and cloud computing for r...
Researchers from the San Diego Supercomputer Center are using the Google-IBM CluE cluster to develop new software for making cloud computing clusters more accessible and efficient. They aim to improve data management and analysis capabilities, offering a complement to conventional supercomputing architectures.
Astronomers use Chandra to study a cloud of gas in NGC 4151, blown away from the black hole at incredible velocities. The observation shows how massive black holes disrupt their surroundings over vast distances.
New research suggests that aerosol pollutants in the atmosphere are likely masking global warming. Aerosols can modify clouds, suppress precipitation, and reflect light, cooling the Earth. This effect may be as large as the warming caused by human emissions of greenhouse gases.
An international team of scientists has found a cloud of dust grains surrounding Ganymede, the largest of Jupiter's four Galilean satellites. The dust was generated by impacts of interplanetary meteoroids and is thought to be an important mechanism for dust production in space.
Researchers from CU-Boulder are part of a major international project to understand climate change trends in the Arctic and its impact on global temperatures. The Surface Heat Budget of the Arctic Ocean project uses aircraft, satellites, ships, and submarines to study interactions between sea ice, atmosphere, and clouds.