Middleware for internet of things: a survey
MA Razzaque, M Milojevic-Jevric… - IEEE Internet of …, 2015 - ieeexplore.ieee.org
The Internet of Things (IoT) envisages a future in which digital and physical things or objects
(eg, smartphones, TVs, cars) can be connected by means of suitable information and …
(eg, smartphones, TVs, cars) can be connected by means of suitable information and …
Internet of things: Survey on security
ABSTRACT The Internet of things (IoT) is intended for ubiquitous connectivity among
different entities or “things”. While it provides effective and efficient solutions to many real …
different entities or “things”. While it provides effective and efficient solutions to many real …
Internet of things: Survey on security and privacy
The Internet of Things (IoT) is intended for ubiquitous connectivity among different entities
or" things". While its purpose is to provide effective and efficient solutions, security of the …
or" things". While its purpose is to provide effective and efficient solutions, security of the …
Fusionfs: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems
State-of-the-art, yet decades-old, architecture of high-performance computing systems has
its compute and storage resources separated. It thus is limited for modern data-intensive …
its compute and storage resources separated. It thus is limited for modern data-intensive …
Distributed data provenance for large-scale data-intensive computing
It has become increasingly important to capture and understand the origins and derivation of
data (its provenance). A key issue in evaluating the feasibility of data provenance is its …
data (its provenance). A key issue in evaluating the feasibility of data provenance is its …
Hycache+: Towards scalable high-performance caching middleware for parallel file systems
The ever-growing gap between the computation and I/O is one of the fundamental
challenges for future computing systems. This computation-I/O gap is even larger for modern …
challenges for future computing systems. This computation-I/O gap is even larger for modern …
Towards exploring data-intensive scientific applications at extreme scales through systems and simulations
The state-of-the-art storage architecture of high-performance computing systems was
designed decades ago, and with today's scale and level of concurrency, it is showing …
designed decades ago, and with today's scale and level of concurrency, it is showing …
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
Traditional retrieval methods have been essential for assessing document similarity but
struggle with capturing semantic nuances. Despite advancements in latent semantic …
struggle with capturing semantic nuances. Despite advancements in latent semantic …
High-performance storage support for scientific applications on the cloud
Although cloud computing has become one of the most popular paradigms for executing
data-intensive applications (for example, Hadoop), the storage subsystem is not optimized …
data-intensive applications (for example, Hadoop), the storage subsystem is not optimized …
Efficient storage management for social network events based on clustering and hot/cold data classification
Social network events are related to the national economy and people's livelihood, so timely
perception and processing of massive social network events data are becoming increasingly …
perception and processing of massive social network events data are becoming increasingly …