In parallel and distributed computing multiple computers are collectively utilized to simultaneously process a set of tasks to improve performance over that of a single processor [BSB01]. Often, such computing systems are constructed from a heterogeneous mix of machines that may differ in their capabilities, e.g., available memory, number of floating point units, clock speed, and operating syst...

Dynamically reconfigurable hardware resources within complex heterogeneous computing environments show tremendous potential for an improvement in system performance, a reduction in the necessary number of processing resources, an increase in system degradability in the presence of faults, and an expansion of system flexibility, field upgradeability, and system lifecycles. However, efficient man...

With the ongoing trend towards increased hardware heterogeneity, database systems will need to support many different processor architectures in order to fully exploit all available hardware configurations. However, di↵erent hardware architectures typically require di↵erent code optimizations, and the lack of performance portability in programming frameworks like OpenCL requires developers to h...

A heterogeneous cluster can incur the performance degradation caused by the load unbalance in executing the application for homogeneous cluster. The total execution time can be sometimes improved by neglecting some of the PEs because communication time is reduced. This study examines to invoke multiple processes on fast processing elements (PEs) to avoid load unbalance. In this study, the execu...

In general, the goal of heterogeneous computing is to assign each subtask to one of the machines in the system so that the total execution time computation time and inter-machine communication time of the application program is minimized 23, 12, 7, 11, 16, 18, 24 . Mapping can be specified statically or determined at runtime by load balancing algorithms. In heterogeneous computing the structure...

An ad hoc grid is a heterogeneous computing system composed of mobile devices. Each computing resource is constrained in battery energy. The problem being studied is to assign statically computing resources to the subtasks of an application that has an execution time constraint, when the resources are oversubscribed. All subtasks must be executed; to accommodate this in an oversubscribed enviro...

Adaptability is one of the most important challenges in modern distributed systems. It may be defined as the ease with which a software application satisfies the different system constraints and the requirements of users and other applications. Adaptability is needed because distributed systems are inherently open, heterogeneous, and dynamic environments integrating a wide range of platforms, o...

The success of pervasive computing depends on the ability to compose a multitude of networked applications dynamically in order to achieve user goals. However, applications from different providers are not able to interoperate due to incompatible interaction protocols or disparate data models. Instant messaging is a representative example of the current situation, where various competing applic...

An ad hoc grid is a heterogeneous computing and communication system that allows a group of mobile devices to accomplish a mission, often in a hostile environment. Energy management is a major concern in ad hoc grids. The problem studied here focuses on statically assigning resources in an ad hoc grid to an application composed of communicating subtasks. The goal of the allocation is to minimiz...

This research investigates the problem of allocating a set of heterogeneous applications to a set of heterogeneous machines connected together by a high-speed network. The proposed resource allocation heuristics were implemented on the High Performance Distributed Computing Program’s (HiPer-D) Naval Surface Warfare Center testbed. The goal of this study is to design static resource allocation h...