chapter six Flashcards
cloud storage
The network-centric data storage model is for what devices?
useful for
mobile devices with limited power reserves and local storage
what big data reflects on many applications?
that many applications cannot store and process this large data even on local computers or small to medium size data centers.
what are the things that are critical to the cloud computations that are performed on the cloud?
effective data replication and storage management strategies.
the storage system design philosophy has shifted. from where to where
has shifted from the performance at any cost to the reliability at the lowest possible cost
the new storage system design philosophy has important implications on software complexity
maintaining consistency among multiple copies of data records increases software complexity and the cloud negatively affects software storage performance if data is frequently updated
what do we need to do to satisfy the requirements of content delivery
sophisticated strategies to reduce the access time and to support real-time multimedia access
what is the benefit of data replications
allows concurrent access to data from multiple processors and decreases the chances of data loss
what are the major challenges of the cloud storage system’s new philosophy?
- Reliability
- data management software complexity
- maintaining consistency among multiple copies of data records
- access time and support multimedia access
- data loss
what type of feeding that sensors feed to cloud servers
continuous stream
describe the relationship between cloud storage and cloud processing
storage and processing are intimately tied to one another
why data replications and storage management systems are critical for cloud computations
most cloud applications process large amounts of data, so they need effective data management for effective computations
what is the key concept behind big data
big data refers to datasets that are so large that traditional methods cannot store or process them
give examples of scientific fields that use big data analysis
genomics, structural biology, high energy physics, astronomy
