The development of cloud infrastructures inspires the emergence of cloud-native computing.
As the most promising architecture for deploying microservices, serverless computing has …

Object stores are becoming pervasive due to their scalability and simplicity. Their broad
adoption, however, contrasts with their rigidity for handling heterogeneous workloads and …

Traditionally, active storage techniques have been proposed to move computation tasks to
storage nodes in order to exploit data locality. However, we argue in this paper that active …

Storage systems need to support high-performance for special-purpose data processing
applications that run on an evolving storage device technology landscape. This puts …

The exponential growth of data produced, the ever faster and ubiquitous connectivity, and
the collaborative processing tools lead to a clear shift of data stores from local servers to the …

Extracting value from data stored in object stores, such as OpenStack Swift and Amazon S3,
can be problematicin common scenarios where analytics frameworks and objectstores run …

Data center storage systems have different workloads and characteristics. In a centralized
managed storage paradigm (software defined data center), providing a fault-tolerant system …

In this paper, we exploit the geographic opportunistic routing (GOR) for QoS provisioning
with both end-to-end reliability and delay constraints in wireless sensor networks (WSNs) …

Object stores are becoming pervasive due to their scalability and simplicityto manage data
growth. Their rampant adoption, however, contrasts with their scant flexibility to support multi …

Enormous amounts of unstructured data such as images, videos, emails, sensors' data and
documents of multiple types are being generated daily by varied applications. Apart from the …