This paper proposes and evaluates a multiobjective evolutionary game theoretic framework for adaptive and stable application deployment in clouds that support dynamic voltage and frequency scaling (DVFS) for CPUs. The proposed algorithm, called AGEGT, aids cloud operators to adapt the resource allocation to applications and their locations according to the operational conditions in a cloud (e.g...

The task scheduler of an energy harvesting wireless sensor node (WSN) must adapt the task complexity and maximize the accuracy of the tasks within the constraint of limited energy reserves. Structural Health Monitoring (SHM) represents a great example of such an application comprising of both steady state operations and sporadic externally triggered events. To this end, we propose a task schedu...

The increasing demand of cloud infrastructure has severely increased the energy consumption of datacenters, which has become a critical issue. High energy consumption not only results in high operational costs, but also leads to high CO2 emissions which contribute to growing environmental issue of global warming significantly. In this paper, we proposed a scheduling algorithm for the cloud data...

In this work, we characterize the power and thermal characteristics of a Pentium M system in response to a widely available power-management mechanism, DVFS (dynamic voltage and frequency scaling) and cooling capacity. We observe transient and steady-state responses to changing the DVFS state with custom microbenchmarks and develop a model that captures the power-thermal relationship for this s...

Wireless Network-on-Chip (WiNoC) has emerged as an enabling technology to design low power and high bandwidth massive multi-core chips. The performance advantages mainly stem from using the wireless links as long-range shortcuts between far apart cores. This performance gain can be enhanced further if the characteristics of the wireline links and the processing cores of the WiNoC are optimized ...

Energy consumption has become a major design constraint in modern computing systems. With the advent of peta ops architectures, power efficient software stacks have become imperative for scalability. Modern processors provide techniques, such as dynamic voltage and frequency scaling (DVFS), to improve energy efficiency on-the-fly. Without careful application, however, DVFS and throttling may ca...

In modern multi-core Mixed-Criticality (MC) systems, a rise in peak power consumption due to parallel execution of tasks with maximum frequency, specially the overload situation, may lead thermal issues, which affect reliability and timeliness MC systems. Therefore, managing has become imperative this regard, we propose an online management heuristic for This reduces system as much possible dur...

We aim at mapping streaming applications that can be modeled by a series-parallel graph onto a 2-dimensional tiled chip multiprocessor (CMP) architecture. The objective of the mapping is to minimize the energy consumption, using dynamic voltage and frequency scaling (DVFS) techniques, while maintaining a given level of performance, reflected by the rate of processing the data streams. This mapp...

In this paper, we study the problem of energy and deadline constrained static resource allocation where a collection of independent tasks (“bag-of-tasks”) is assigned to a heterogeneous computing system. Computing systems often operate in environments where task execution times vary (e.g., due to data dependent execution times), therefore we model the execution time of tasks stochastically. Thi...

As energy proportional computing gradually extends the success of DVFS (Dynamic voltage and frequency scaling) to the entire system, DVFS control algorithms will play a key role in reducing server clusters’ power consumption. The focus of this paper is to provide accurate cluster-level DVFS control for power saving in a server cluster. To achieve this goal, we propose a request tracing approach...