Mobile grids are collaborative, resource sharing environments formed by a collection of heterogeneous devices ranging from fixed PCs to wireless devices such as PDAs, laptops, cellulars etc. We investigate the distributed shared memory (DSM) paradigm in the context of mobile grid computing. The uncoupled communication paradigm provided by DSM systems is well desirable in a mobile environment because it provides means for handling the temporary unavailability of resources. We tackle the problems of mobile (disconnected) computing and fault-recovery through a 'time-out management' strategy, introducing a novel task-duration prediction approach. We illustrate how task execution prediction can be beneficially employed to introduce scheduling he...
Mobile cloud computing, which comes up in recent years, is a new computing paradigm. It enables peop...
Mobile edge computing (MEC) focuses on transferring computing resources close to the user’s device, ...
To make effective job placement policies for a volatile large scale heterogeneous system or in grid ...
Mobile grids are collaborative, resource sharing environments formed by a collection of heterogeneou...
Abstract- Grid Computing has emerged as an efficient problem solution paradigm since the last decade...
Grid computing is an emerging technology by which huge numbers of processors over the world create a...
An efficient functioning of a complicated and dynamic grid environment requires a resource manager t...
An efficient functioning of a complicated and dynamic grid environment requires a resource manager t...
Abstract: Despite the many research efforts addressing the integration of mobile nodes into grids, o...
Predominant resources for execution of any application are computational power and memory. On one si...
Mobile crowd computing (MCC) that utilizes public-owned (crowd’s) smart mobile devices (SMDs)...
The pervasiveness of personal computing platforms offers an unprecedented opportunity to deploy larg...
A good running time prediction of tasks is very helpful and important for job scheduling and resourc...
Mobile devices are being widely used in many applications such as image processing, computer vision ...
The use of computational grids to provide an integrated computer platform, composed of differentiate...
Mobile cloud computing, which comes up in recent years, is a new computing paradigm. It enables peop...
Mobile edge computing (MEC) focuses on transferring computing resources close to the user’s device, ...
To make effective job placement policies for a volatile large scale heterogeneous system or in grid ...
Mobile grids are collaborative, resource sharing environments formed by a collection of heterogeneou...
Abstract- Grid Computing has emerged as an efficient problem solution paradigm since the last decade...
Grid computing is an emerging technology by which huge numbers of processors over the world create a...
An efficient functioning of a complicated and dynamic grid environment requires a resource manager t...
An efficient functioning of a complicated and dynamic grid environment requires a resource manager t...
Abstract: Despite the many research efforts addressing the integration of mobile nodes into grids, o...
Predominant resources for execution of any application are computational power and memory. On one si...
Mobile crowd computing (MCC) that utilizes public-owned (crowd’s) smart mobile devices (SMDs)...
The pervasiveness of personal computing platforms offers an unprecedented opportunity to deploy larg...
A good running time prediction of tasks is very helpful and important for job scheduling and resourc...
Mobile devices are being widely used in many applications such as image processing, computer vision ...
The use of computational grids to provide an integrated computer platform, composed of differentiate...
Mobile cloud computing, which comes up in recent years, is a new computing paradigm. It enables peop...
Mobile edge computing (MEC) focuses on transferring computing resources close to the user’s device, ...
To make effective job placement policies for a volatile large scale heterogeneous system or in grid ...