Performance Evaluation of Distributed SQL Query Engines and Query Time Predictors

With the decrease in cost of storage and computation of public clouds, even small and medium enterprises (SMEs) are able to process large amounts of data. This causes businesses to increase the amounts of data they collect, to sizes that are difficult for traditional database management systems to handle. Distributed SQL Query Engines (DSQEs),...

Multi-chip dataflow architecture for massive scale biophysically accurate neuron simulation

The ability to simulate brain neurons in real-time using biophysically-meaningful models is a critical pre-requisite grasping human brain behavior. By simulating neurons' behavior, it is possible, for example, to reduce the need for in-vivo experimentation, to improve artificial intelligence and to replace damaged brain parts in patients. A...

Scalability and fault-tolerance in the groupware domain

In most businesses, email and collaboration services are essential to the performance of the company. Delivering a communication platform that scales well with the growth of the company, and provides the services anytime, anywhere, even in the event of failures is hard to achieve at low costs. Literature has proven that simplified email storage...

A Genetic Approach to Programming Large-Scale Systems

In recent years, there is an increasing interest in the scientific community for development of algorithms targeting large-scale networks. In addition to their sheer size, these networks also exhibit various topology dynamics -- nodes join and exit at high rates (churn), are mobile and are not always reliable. Such extreme properties make...

A Robust Distributed Reputation Mechanism for Peer-to-Peer Systems

In P2P content distribution networks, incentive mechanisms are required for sustainable operation of the network. In general, there are two classes of incentive mechanisms, direct and indirect. In direct mechanisms, a content consumer compensates the work of a supplier by providing him some content in return. In indirect mechanisms, the work of...

Project Jackal Final Report

For companies that deliver hardware services, the ability to scale dynamically has many advantages. In a special case, a company may have some computing resources available and desire to scale out when traffic peaks. A periodical budget may then be allocated, which needs to be used efficiently. This can be achieved through a combination of...

LabBack: An extendible platform for secure and robust in-the-cloud automatic assessment of student programs

In software engineering education manual assessment of students’ programs is a time consuming endeavour that does not scale to high numbers of pupils or to large amounts of practice material. Numerous automatic grading programs, aim- ing to alleviate this problem, have been developed since 1960. These, however, only support fixed programming...

Multiple description coding for SNR scalable video transmission over unreliable networks

Streaming multimedia data on best-effort networks such as the Internet requires measures against bandwidth fluctuations and frame loss. Multiple Description Coding (MDC) methods are used to overcome the jitter and delay problems arising from frame losses by making the transmitted data more error resilient. Meanwhile, varying characteristics of...

A Framework for Distributing Scalable Content over Peer-to-Peer Networks

Peer-to-Peer systems are nowadays a very popular solution for multimedia distribution, as they provide significant cost benefits compared with traditional server-client distribution. Additionally, the distribution of scalable content enables the consumption of the content in a quality suited for the available bandwidth and the capabilities of...

Quantitative Modeling of Domain Name System Protocol

Simple, Reliable, Scalable and Energy Efficient Wireless Sensor Networks

Wireless communication and networking technology has facilitated people to be connected with each other closely. Cellular network is evolving now from the third generation to the fourth generation. In the meanwhile we are experiencing the demand for wireless networks which can facilitate the communication between humans and environment, human...

Implementation of Nexus: Dynamic Hardware Management Support for Multicore Platforms

Current trends in computer architecture focus on multicore platforms. The target of these new platforms is to scale the performance of the system with the number of cores. However, the performance of current archictectures is limited due to thread-level parallelism overhead and programmability. StarSS is a task-based programming model that eases...

Parallel Scalability of Video Decoders

An important question is whether emerging and future applications exhibit sufficient parallelism, in particular thread-level parallelism, to exploit the large numbers of cores future chip multiprocessors (CMPs) are expected to contain. As a case study we investigate the parallelism available in video decoders, an important application domain now...

A Scalable Mextram Model for Advanced Bipolar Circuit Design

In this thesis, a referenced based scaling approach and its parameter extraction for the bipolar transistor model Mextram is proposed. It is mainly based on the physical properties of the Mextram parameters, which scale with the junction temperature and geometry of the bipolar transistor. The scalable electrical parameter in the scaling rules is...

Fair rate allocation of scalable multiple description video for many clients

Peer-to-peer networks (P2P) form a distributed communication infrastructure that is particularly well matched to video streaming using multiple description coding. We form M descriptions using MDC-FEC building on a scalable version of the “Dirac” video coder. The M descriptions are streamed via M different application layer multicast (ALM) trees...

A comparison of deflation and the balancing Neumann-Neumann preconditioner

In this paper we compare various preconditioners for the numerical solution of partial differential equations. We compare the well-known balancing Neumann Neumann preconditioner used in domain decomposition methods with a so-called deflation preconditioner. We prove that the effective condition number of the deflated preconditioned system is...

A comparison of deflation and coarse grid correction applied to porous media flow

In this paper we compare various preconditioners for the numerical solution of partial dierential equations. We compare a coarse grid correction preconditioner used in domain decomposition methods with a so-called deflation preconditioner. We prove that the effective condition number of the de ated preconditioned system is always, i.e. for all...