DejaVu: Accelerating Resource Allocation in Virtualized Environments

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Computing servers have played a key role in developing and processing emerging compute-intensive applications in recent years. Consolidating multiple virtual machines (VMs) inside one server to run various applications introduces severe competence for limi ...

The growing popularity of edge computing has fostered the development of diverse solutions to support Artificial Intelligence (AI) in energy-constrained devices. Nonetheless, comparatively few efforts have focused on the resiliency exhibited by AI workload ...

Timely insights lead to business growth and scientific breakthroughs but require analytical engines that cope with the ever-increasing data processing needs. Analytical engines relied on rapid CPU improvements, yet the end of Dennard scaling stopped the fr ...

Hybrid Transactional and Analytical Processing (HTAP) systems have become popular in the past decade. HTAP systems allow running transactional and analytical processing workloads on the same data and hardware. As a result, they suffer from workload interfe ...

A smart campus provides students who are geographically scattered with online tools to get access to learning resources and laboratories. Although these remote laboratories have the potential and capabilities to implement different learning experiments, mo ...

When the time comes to make a critical decision, it is of paramount importance to prepare enough so that all the information necessary is available at decision time. Under-preparation leads to uninformed decisions; over-preparation, however, may lead to co ...

In our modern society, the average citizen has turned into a daily cloud user. Despite being virtually transparent for the user, internet services require data centers behind the scenes. Data centers burn several megawatts of power and their electricity bi ...

Understanding the link between the brain's anatomy and its function through computer simulations of neural tissue models is a widely used approach in computational neuroscience. This technique enables rapid prototyping and testing of hypotheses, allowing r ...

Our work addresses the problem of placement of threads, or virtual cores, onto physical cores in a multicore NUMA system. Different placements result in varying degrees of contention for shared resources, so choosing the right placement can have a large ef ...

Over the last fifty years, the interaction factor method has been widely used to address the vertical displacement and the increased deformation of conventional pile groups subjected to mechanical loads when group effects and interactions occur among the p ...

Origami shape transformation is dictated by predefined folding patterns and their folding sequence. The working principle of robotic origami is based on the same principle: we design quasi-two-dimensional tiles and connecting hinges and define and program ...

Recent years has seen profound changes in building technologies both in Europe and worldwide. With the emergence of Smart Grid and Smart City concepts, the Smart Building has attracted considerable attention and rapid development. The introduction of novel ...

The conventional wisdom is that aggressive networking requirements, such as high packet rates for small messages and μs-scale tail latency, are best addressed outside the kernel, in a user-level networking stack. We present ix, a dataplane operating system ...

FPGAs can provide high performance and energy efficiency to many applications; therefore, they are attractive computing platforms in a cloud environment. However, FPGA application development requires extensive hardware design knowledge which significantly ...

Many analytics applications generate mixed workloads, i.e., workloads comprised of analytical tasks with different processing characteristics including data pre-processing, SQL, and iterative machine learning algorithms. Examples of such mixed workloads ca ...

This contribution introduces a novel model, Laboratory as a Service (LaaS), for developing remote laboratories as independent component modules and implementing them as a set of loosely-coupled services to be consumed with a high level of abstraction and v ...

The conventional wisdom is that aggressive networking requirements, such as high packet rates for small messages and microsecond-scale tail latency, are best addressed outside the kernel, in a user-level networking stack. We present IX, a dataplane operati ...

Latest embedded bio-signal analysis applications, targeting low-power Wireless Body Sensor Nodes (WBSNs), present conflicting requirements. On one hand, bio-signal analysis applications are continuously increasing their demand for high computing capabiliti ...

Systems, methods, and apparatus for managing resources assigned to an application or service. A resource manager maintains a set of workload classes and classifies workloads using workload signatures. In specific embodiments, the resource manager minimizes ...

This article describes the historical context, technical challenges, and main implementation techniques used by VMware Workstation to bring virtualization to the x86 architecture in 1999. Although virtual machine monitors (VMMs) had been around for decades ...

DejaVu: Accelerating Resource Allocation in Virtualized Environments

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CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

Efficient Analytical Query Processing on CPU-GPU Hardware Platforms

Performance Characterization of HTAP Workloads

Self-Organized Laboratories for Smart Campus

JIT works: decide when all data is known (VLDB Women in Database Research Award talk)

Multi-Objective System-Level Management of Modern Green Data Centers

Computational characteristics and hardware implications of brain tissue simulations

Placement of Virtual Containers on NUMA systems: A Practical and Comprehensive Model

Analysis of the vertical displacement of energy pile groups

A reconfigurable interactive interface for controlling robotic origami in virtual environments

A Scalable and Secure System Architecture for Smart Buildings

The IX Operating System: Combining Low Latency, High Throughput, and Efficiency in a Protected Dataplan

Designing a Virtual Runtime for FPGA Accelerators in the Cloud

Runtime Prediction for Scale-Out Data Analytics

Laboratory as a Service (LaaS): a Model for Developing and Implementing Remote Laboratories as Modular Components

IX: A Protected Dataplane Operating System for High Throughput and Low Latency

Hardware/Software Approach for Code Synchronization in Low-Power Multi-Core Sensor Nodes

Accelerating resource allocation in virtualized environments using workload classes and/or workload signatures

Bringing Virtualization to the x86 Architecture with the Original VMware Workstation