Final report on the evaluation of RRM/CRRM algorithms

Deliverable public del projecte EVERESTThis deliverable provides a definition and a complete evaluation of the RRM/CRRM algorithms selected in D11 and D15, and evolved and refined on an iterative process. The evaluation will be carried out by means of simulations using the simulators provided at D07, and D14.Preprin

Virtual Runtime Application Partitions for Resource Management in Massively Parallel Architectures

This thesis presents a novel design paradigm, called Virtual Runtime Application Partitions (VRAP), to judiciously utilize the on-chip resources. As the dark silicon era approaches, where the power considerations will allow only a fraction chip to be powered on, judicious resource management will become a key consideration in future designs. Most of the works on resource management treat only the physical components (i.e. computation, communication, and memory blocks) as resources and manipulate the component to application mapping to optimize various parameters (e.g. energy efficiency). To further enhance the optimization potential, in addition to the physical resources we propose to manipulate abstract resources (i.e. voltage/frequency operating point, the fault-tolerance strength, the degree of parallelism, and the configuration architecture). The proposed framework (i.e. VRAP) encapsulates methods, algorithms, and hardware blocks to provide each application with the abstract resources tailored to its needs. To test the efficacy of this concept, we have developed three distinct self adaptive environments: (i) Private Operating Environment (POE), (ii) Private Reliability Environment (PRE), and (iii) Private Configuration Environment (PCE) that collectively ensure that each application meets its deadlines using minimal platform resources. In this work several novel architectural enhancements, algorithms and policies are presented to realize the virtual runtime application partitions efficiently. Considering the future design trends, we have chosen Coarse Grained Reconfigurable Architectures (CGRAs) and Network on Chips (NoCs) to test the feasibility of our approach. Specifically, we have chosen Dynamically Reconfigurable Resource Array (DRRA) and McNoC as the representative CGRA and NoC platforms. The proposed techniques are compared and evaluated using a variety of quantitative experiments. Synthesis and simulation results demonstrate VRAP significantly enhances the energy and power efficiency compared to state of the art.Siirretty Doriast

Journal of Telecommunications and Information Technology, 2003, nr 4

kwartalni

Applied Metaheuristic Computing

For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC

Comparison of Picocell and DAS Configuration with HSPA Evolution

As demand of mobile data services has grown exponentially, it has increased pressure on mobile operators to enhance capacity in dense urban areas. Usage of internet and services related to mobile network has grown up. UMTS specification has been updated in order to cope with an increased amount of mobile data traffic. These upgrades and releases are based on international standards. HSDPA and HSUPA technologies are previous upgrades of UMTS network but now HSPA Evolution (HSPA+) is the upgraded version for UMTS. HSPA+ improves performance of mobile data transmission in downlink direction. Previously UMTS enabled user data of 384 kbps that was upgraded to 14.4 Mbps in downlink and 5.76 Mbps in uplink data rate by HSPA. But still the demand of data rate is increasing so HSPA+ upgraded UMTS to 21.1 Mbps in downlink and 5.76 Mbps in uplink. Due to these improvements in data rates, HSPA+ has become one of the striking choices for mobile operators. It has been forecasted that amount of data users will increase in future and this will set new challenges for mobile operators. The network is planned in such a way that more capacity is provided to places where more users are present. Most of the network traffic in dense urban area is generated by indoor users. Indoor planning is mostly done with multiple picocells or DAS configuration. The main differences between these two configurations are interference, total capacity, cost of the equipment and implementation. In this Master’s thesis, the main focus is to compare picocells and DAS configuration for HSPA+ by simulations and measurements. Several mobile terminals were used to generate low and high loads for HSPA+ network. These comparisons were made by analyzing the results for signal to interference ratio, total network throughput and several other indicators. The results showed that DAS outperforms picocells in low/high load conditions in terms of SIR, cell throughput and modulation technique. DAS is good choice for medium sized building due to handover free regions and smooth coverage. /Kir1

Applied Methuerstic computing

For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC

Security in Distributed, Grid, Mobile, and Pervasive Computing

This book addresses the increasing demand to guarantee privacy, integrity, and availability of resources in networks and distributed systems. It first reviews security issues and challenges in content distribution networks, describes key agreement protocols based on the Diffie-Hellman key exchange and key management protocols for complex distributed systems like the Internet, and discusses securing design patterns for distributed systems. The next section focuses on security in mobile computing and wireless networks. After a section on grid computing security, the book presents an overview of security solutions for pervasive healthcare systems and surveys wireless sensor network security