MARS—a framework for minimizing the job execution time in a metacomputing environment
Future Generation Computer Systems - Special issue: resource management in distributed systems
Application-level scheduling on distributed heterogeneous networks
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
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The promise of Hive Computing – Organizations being able to acquire all the power they need for only as long as is necessary – is incredibly compelling. Hive Computing has experienced significant success in bringing productivity gains, high performance and cost savings to business applications such as; Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Supply Chain Management (SCM) and B2B portals (E-commerce sites). Grid Computing has brought productivity gains, high performance and cost savings, but in some places it is largely incomplete, i.e. when it comes to the questions of mission-critical computing in general and transaction oriented in particular. This paper discusses a new approach to the development, deployment and management of mission-critical applications – called Hive Computing – that is designed to complement and extend the vision of Grid Computing.