The paper addresses dynamic allocation of objects in a distributed object-oriented (OO for short) programming environment, in particular Parallel Objects (PO for short). Intrinsic dynamicity of OO programming makes it difficult to foresee the behaviour of distributed applications and their consequent need of resources. In the Parallel Objects environment newly created objects are allocated on the basis of the current load; moreover, already allocated objects can migrate to achieve better load balancing. The paper presents the dynamic load balancing implemented in the PO environment, with the goal of showing the benefits of migration compared with the remote creation
Abstract. Many parallel applications are highly dynamic in nature. In some, computation and communic...
In object-oriented programming (OOP) languages, the ability to encapsulate software concerns of the ...
Writing parallel programs for distributed multi-user computing environments is a difficult task. The...
The paper addresses dynamic allocation of objects in a distributed object-oriented (OO for short) pr...
Migration is a fundamental mechanism for achieving load balancing and locality of references in para...
In this paper, a parallel object collection (POC) model is introduced to support data parallelism in...
Predefined and automatic approaches to allocation cannot always achieve satisfactory results, due to...
The paper presents the mechanisms for dynamic load distribution implemented within the support for t...
We present a contribution on dynamic load balancing for distributed and parallel object-oriented app...
In distributed, object-oriented programs, placement of objects is crucial for performance, since rem...
In this paper, a replication-based parallel object model will be presented first, where object repli...
Abstract. We present a contribution on dynamic load balancing for distributed and parallel object-or...
In this paper, a replication-based parallel object model will be presented first, where object repli...
The paper focuses on language constructs for driving the allocation of parallel object-oriented appl...
Typically Multi-User Object-Oriented Environments (MOOs) are implemented using a client-server archi...
Abstract. Many parallel applications are highly dynamic in nature. In some, computation and communic...
In object-oriented programming (OOP) languages, the ability to encapsulate software concerns of the ...
Writing parallel programs for distributed multi-user computing environments is a difficult task. The...
The paper addresses dynamic allocation of objects in a distributed object-oriented (OO for short) pr...
Migration is a fundamental mechanism for achieving load balancing and locality of references in para...
In this paper, a parallel object collection (POC) model is introduced to support data parallelism in...
Predefined and automatic approaches to allocation cannot always achieve satisfactory results, due to...
The paper presents the mechanisms for dynamic load distribution implemented within the support for t...
We present a contribution on dynamic load balancing for distributed and parallel object-oriented app...
In distributed, object-oriented programs, placement of objects is crucial for performance, since rem...
In this paper, a replication-based parallel object model will be presented first, where object repli...
Abstract. We present a contribution on dynamic load balancing for distributed and parallel object-or...
In this paper, a replication-based parallel object model will be presented first, where object repli...
The paper focuses on language constructs for driving the allocation of parallel object-oriented appl...
Typically Multi-User Object-Oriented Environments (MOOs) are implemented using a client-server archi...
Abstract. Many parallel applications are highly dynamic in nature. In some, computation and communic...
In object-oriented programming (OOP) languages, the ability to encapsulate software concerns of the ...
Writing parallel programs for distributed multi-user computing environments is a difficult task. The...