Mathematics and Computer Science; 2; Information Sciences Institute; Argonne National Laboratory University of Southern California
Argonne, IL 60439 Marina del Rey, CA 90292
State-of-the-art and emerging scientific applications require fast access to large quantities of data and commensurately fast computational resources. Both resources and data are often distributed in a wide-area network with components administered locally and independently. Computations may involve hundreds of processes that must be able to acquire resources dynamically and communicate e#ciently. This paper analyzes the unique security requirements of large-scale distributed (grid) computing and develops a security policy and a corresponding security architecture. An implementation of the architecture within the Globus metacomputing toolkit is discussed.