2 cissp ® Official Study Guide Eighth Edition



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(CISSP) Mike Chapple, James Michael Stewart, Darril Gibson - CISSP Official Study Guide-Sybex (2018)

Grid Computing
Grid computing
is a form of parallel distributed processing that loosely groups a significant 
number of processing nodes to work toward a specific processing goal. Members of the grid 
can enter and leave the grid at random intervals. Often, grid members join the grid only when 
their processing capacities are not being taxed for local workloads. When a system is other-
wise in an idle state, it could join a grid group, download a small portion of work, and begin 
calculations. When a system leaves the grid, it saves its work and may upload completed or 
partial work elements back to the grid. Many interesting uses of grid computing have devel-
oped, ranging from projects seeking out intelligent aliens, performing protein folding, pre-
dicting weather, modeling earthquakes, planning financial decisions, and solving for primes.
The biggest security concern with grid computing is that the content of each work 
packet is potentially exposed to the world. Many grid computing projects are open to the 
world, so there is no restriction on who can run the local processing application and par-
ticipate in the grid’s project. This also means that grid members could keep copies of each 
work packet and examine the contents. Thus, grid projects will not likely be able to main-
tain secrecy and are not appropriate for private, confidential, or proprietary data.
Grid computing can also vary greatly in the computational capacity from moment to 
moment. Work packets are sometimes not returned, returned late, or returned corrupted. 
This requires significant reworking and causes instability in the speed, progress, respon-
siveness, and latency of the project as a whole and with individual grid members. Time-
sensitive projects might not be given sufficient computational time to finish by a specific 
chronological deadline.
Grid computing often uses a central primary core of servers to manage the project, track 
work packets, and integrate returned work segments. If the central servers are overloaded 


358
Chapter 9 

Security Vulnerabilities, Threats, and Countermeasures
or go offl ine, complete failure or crashing of the grid can occur. However, usually when 
central grid systems are inaccessible, grid members complete their current local tasks and 
then regularly poll to discover when the central servers come back online. There is also a 
potential risk that a compromise of the central grid servers could be leveraged to attack grid 
members or trick grid members into performing malicious actions instead of the intended 
purpose of the grid community.

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