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Cooperative spectrum sensing (CSS) represents a key factor in the success of cognitive radio networks. CSS implies that users report their local sensing results to a fusion center in order to process them. The two popular reporting schemes are soft and hard schemes. In hard scheme, local sensing result is conveyed by a single bit, whereas the sensing result is reported as it is in the soft scheme...
In this paper, we demonstrate the use of a simplistic time based routing protocol called Simple Resilient Multi-hop Routing (SRMR) for a multi sink wireless sensor network (WSN). SRMR will allow the network to maximize efficiency by using a combination of performance metrics. For this simulation we will use the approximate distance measure based upon travel time of messages between sensor nodes. With...
In recent years, single-ISA heterogeneous chip multiprocessors (CMP) consisting of big high-performance cores and small power-saving cores on the same die have been proposed for the exploration of high energy-efficiency. On such heterogeneous platforms, an appropriate runtime scheduling policy lies at the heart of program executions to benefit from the processor heterogeneity. To date, most prior...
Energy consumption optimization of HPC applications inherently requires measurements for reference and comparison. However, most of today's systems lack the necessary hardware support for power or energy measurements. Furthermore, in-band data availability is preferred for specific optimization techniques such as auto-tuning. For this reason, we present in-band energy consumption models for the IBM...
Cloud computing systems rent resources on demand, pay-as-you-go basis, and multiplex many users on the same physical infrastructure. However the revenue of cloud computing is get affected by various factors such as QoS constraints, Energy consumption etc., Energy Aware Task Consolidation technique is used to allocate the tasks dynamically on virtual clusters which aims to minimize energy consumption...
Energy consumption has always been a major concern in the design and cost of data centers. The wide adoption of virtualization and cloud computing has added another layer of complexity to enabling an energy-efficient use of computing power in large-scale settings. Among the many aspects that influence the energy consumption of a cloud system, the hardware-component level is one of the most intensively...
The resources in a cloud environment are efficiently governed by employing virtualization technology. Virtualization allows multiple operating system instances to run simultaneously on a single computer. The administration of virtual machines (VMs) in the datacenter of cloud computing environment is a challenging task which requires live migration techniques. Live migration transfers running virtual...
This paper discusses energy consumption reduction in Zigbee based networks. We introduce energy consumption benchmarking platform (ECBP) - a versatile data acquisition based energy consumption profiling system for WSNs. The ECBP can be utilized to find power intensive processes in a given system, discover energy consumption anomalies and wasted power, measure active duty and sleep cycles, measure...
Virtual machine (VM) consolidation in Cloud computing environments provides a great opportunity for energy saving. However, the obligation of providing suitable quality of service to end users leads to the necessity in dealing with energy-performance tradeoff. In this paper, we propose a redesigned energy-aware heuristic framework for VM consolidation to achieve a better energy-performance tradeoff...
Energy efficiency and CO2 awareness are globally-important issues in cloud computing. With increasing attention being paid to the environmental impact of cloud computing there are concerns about the sustainability of cloud computing model as its uptake increases. In this respect, we consider it useful to provide a snapshot of the requirements for energy efficient and CO2 aware cloud computing to allow...
The advancement in process technology has enabled integration of different types of processing cores into a single chip towards creating heterogeneous Multiprocessor Systems-on-Chip (MPSoCs). While providing high level of computation power to support complex applications, these modern systems also introduce novel challenges for system designers, like managing a huge number of mappings (application...
Wireless sensor networks (WSNs) have strict energy consumption requirements. Moreover, the complexity constraints of the nodes and the wireless dynamics must be considered in real life implementations. CTP (Collection Tree Protocol) is a state-of-the-art routing protocol that considers the main issues that arise in practical WSN applications. Nowadays, commercial wireless sensors can adjust their...
A main incentive in favor of migrating to the cloud is delegating the management of large volumes of data to cloud providers. To make the notion of data cloud successful, providers must ensure availability, reliability, and data integrity among other qualities. Few researches so far have addressed the potential benefits data cloud provisioning can offer for energy efficiency. In this case study carried...
The growth of energy consumption driven by a rise in traffic rate demand and services, requires cellular operators to extend their infrastructure to meet these demands. To address this issue, deployment of low power base stations (BSs) in traditional macrocells have recently being considered to offer high data rates and simultaneously reduce the load of the macrocellular networks. However, the massive...
Green IT is researched long time ago. IT service providers and users concerned with operating IT systems with less environmental charge. The behavior of hardware of an IT system is determined by software installed on it. Hence well behaved software participates in eco sustainability e.g. consumes less energy. Much research on ‘green software’ has been done since 2010. This paper examines the activities...
How to map IP cores onto NoC architectures is a significant issue (application mapping) in multi-core system design. Many mapping algorithms which aim at optimizing cost metrics(e.g. energy consumption) in the mapping procedure are proposed. Some of those algorithms consider satisfying performance metrics (e.g. latency) constraints. This paper analyses the mechanism leading to performance decreases...
Energy efficiency is an important managerial variable in service business models. Cloud computing advocates the innovation and design of open software services. How the supply of energy-aware software services affects the outsourcing strategies of IT businesses, however, is still not known. This research is concerned with the formation of green virtual organisations (GVOs). Such GVOs foster novel...
Offloading is a useful approach to save energy and time for mobile devices by migrating heavy computation to remote powerful servers. However, the unreliable wireless network constrains the implementation of offloading applications. The execution continuity is always interrupted by network failures. To deal with this problem, locally re-executing the pre-determined offloading task in the mobile device...
Cloud Computing has become popular nowadays. Cloud providers with scalable infrastructures can offer cloud-based services which reduce investment of organizations and diminish most of their operational costs. Therefore, traditional services need to be renovated in the spirit of cloud environments. In this paper, Decision Support-as-a-Service (DSaaS) which is a cloud-based decision support system is...
Region coverage and network connectivity are among the most important problems for the quality of service in wireless sensor networks. Unfortunately, due to the sensor failures and hostile environments, such as active volcanic regions or battle fields, the emergence of coverage holes and disconnections among sensors is unavoidable. One way to handle this problem is to deploy mobile sensors in the...
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