TL;DR: Condor-G as discussed by the authors leverages software from Globus and Condor to enable users to harness multi-domain resources as if they all belong to one personal domain, and it handles job management, resource selection, security, and fault tolerance.
Abstract: In recent years, there has been a dramatic increase in the number of available computing and storage resources. Yet few tools exist that allow these resources to be exploited effectively in an aggregated form. We present the Condor-G system, which leverages software from Globus and Condor to enable users to harness multi-domain resources as if they all belong to one personal domain. We describe the structure of Condor-G and how it handles job management, resource selection, security, and fault tolerance. We also present results from application experiments with the Condor-G system. We assert that Condor-G can serve as a general-purpose interface to Grid resources, for use by both end users and higher-level program development tools.
TL;DR: An information transfer network, comprising a plurality of client terminals which comprise a presentation system having a control and management agent system, a plurality server comprising a database system and an application system, and an information management system for dynamically controlling the location, access and transfer of information between said client terminals and said servers, is defined in this paper.
Abstract: An information transfer network, comprising: a plurality of client terminals which comprise a presentation system having a control and management agent system; a plurality of servers which comprise a database system and an application system, and a control and management agent system; a request broker system which permits the exchange of information between said client terminals and said servers through a communication path between said terminal and said server, and an information management system for dynamically controlling the location, access and transfer of information between said client terminals and said servers through a plurality of communication paths connecting said control and management agent system of each of said client terminals and servers to said information management system.
TL;DR: This method establishes the relationship between the population and the navigation agent with knowledge and transforms a blindly moving crowd into a guided evacuation as the mass evacuation simulation problem is decomposed into a sub-problem of moving blocks.
TL;DR: This work designs and implements a mobility- aware data processing service migration management agent that can automatically learn the user mobility pattern and accordingly control the service migration among the edge servers to minimize the operational cost at runtime.
Abstract: With the advent of edge computing, it is highly recommended to extend some cloud services to the network edge such that the services can be provisioned in the proximity of end users, with better performance efficiency and cost efficiency. Compared to cloud computing, edge computing has high dynamics, and therefore the resources shall be correspondingly managed in an adaptive way. Traditional model-based resource management approaches are limited in practical application due to the involvement of some assumptions or prerequisites. We think it is desirable to introduce a model-free approach that can fit the network dynamics well without any prior knowledge. To this end, we introduce a model-free DRL approach to efficiently manage the resources at the network edge. Following the design principle of DRL, we design and implement a mobility- aware data processing service migration management agent. The experiments show that our agent can automatically learn the user mobility pattern and accordingly control the service migration among the edge servers to minimize the operational cost at runtime. Some potential future research challenges are also presented.
TL;DR: In this article, a management agent stored on removable storage media is operable, when the storage media was coupled with a host device, to track data events and report the data events to a remote management console.
Abstract: A management agent stored on removable storage media is operable, when the storage media is coupled with a host device, to, via the host device, track data events and report the data events to a remote management console.