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This paper briefly introduces the Command Query Responsibility Segregation (CQRS) and discusses the performance of the architecture. The pattern is separated from the business by modifying the behavior of modifying (adding, deleting, modifying the system state) and querying (without modifying the system state), making the logic clearer and easier to target different parts Optimization, and finally...
This paper presents the Compute Cache architecturethat enables in-place computation in caches. ComputeCaches uses emerging bit-line SRAM circuit technology to repurpose existing cache elements and transforms them into active very large vector computational units. Also, it significantlyreduces the overheads in moving data between different levelsin the cache hierarchy. Solutions to satisfy new constraints...
Elasticity is a key component of modern cloud environments and monitoring is an essential part of this process. Monitoring demonstrates several challenges including gathering metrics from a variety of layers (infrastructure, platform, application), the need for fast processing of this data to enable efficient elasticity and the proper management of this data in order to facilitate analysis of current...
ERP application performance can be complicated, as it's ought to satisfy the prerequisite and desires of some of the greatest and most refined enterprises inside the world. Odoo is in vogue ERP application comes into picture, Odoo-ORM framework written in python. This paper concentrates on essential component of Odoo-ORM i.e. caching. Caching can be one of the important parts of an ORM application...
Nowadays, Software-Defined Networking (SDN) is a powerful architectural model, decoupling control and forwarding planes through the abstraction of network elements and functionalities. As known, in SDN networks the controller is the key element since the intelligence of the network is centralized. Hence, the deployment of network services, such as QoS, traffic engineering and traffic recovery, requires...
The introduction and deployment of cheap, high precision, high-sample-rate next-generation synchrophasors en masse in both the transmission and distribution tier — while invaluable for event diagnosis, situational awareness and capacity planning — poses a problem for existing methods of phasor data analysis and storage. Addressing this, we present the design and implementation of a novel architecture...
In recent years, the concept of Big Data (BD) analytics has brought rapid changes to the way enterprises conduct business. Everyday more organizations are getting into the cloud of BD users. Due to an influx of data analytic projects, data centers and cloud-based service providers have experienced massive growth. A growth engulfed with impetuous increase of data and the rapid rise of Internet traffic...
Ultra dense small cell deployments will play a critical role in addressing future capacity requirements in dense urban outdoor and indoor environments such as train stations and shopping malls. Effective interference and energy management schemes will be needed to make such deployments technically and economically viable. In this paper, we demonstrate the benefits of a database-aided energy savings...
Large-scale identification system is a distributed data processing system that requires both high throughput and high reliability. In large-scale identification systems, not only the volume of computing is extremely high but also the I/O volume per CPU second is extremely large. Therefore, how one places the data replicas in the computing nodes can have a significant impact on the performance of identification...
During the last decade, column-store databases have gained successes in OLAP, data mining. For current multi-core architecture, CPU and GPU, designing a set of primitives that exploit the potential parallelism efficiently is very important. In this article, we implement a set of fine-grained primitives for our column-store database gSQL. We gain an order of magnitude faster than My SQL. At the same...
Cloud computing has been growing in popularity because of the demand of scalability and extensibility for infrastructure resources. Recent work has shown that dynamic increasing resource capacity by using public cloud infrastructure services such as Amazon's EC2 can achieve higher peak throughput with lower cost. On the other hand, dedicated server infrastructure is still suitable to frontend requests...
In recent years, data center network (DCN) architectures (e.g., DCell, FiConn, BCube, FatTree, and VL2) received a surge of interest from both the industry and academia. However, none of existing efforts provide an in-depth understanding of the impact of these architectures on application performance in practical multi-tier systems under realistic workload. Moreover, it is also unclear how these architectures...
The spectrum-agile cognitive radio has been developed to significantly increase spectrum utilization and relieve the spectrum exhaustion problem, by enabling secondary users to dynamically access the licensed spectrum bands. As such cognitive radio will be a key feature of future wireless technologies. In this paper, we propose an architecture for cognitive radio network (CRN). Our architecture uses...
Grid computing provides mechanisms for making large-scale computing environments available to the masses. In recent times, with the advent of Cloud computing, the concepts of Software as a Service (SaaS), where vendors provide key software products as services over the internet that can be accessed by users to perform complex tasks, and Service as Software (SaS), where customizable and repeatable...
The cryptography method to Byzantine fault tolerance is defined not only by the analysis of linked lists, but also by the compelling need for B-trees. In our research, we verify the exploration of Boolean logic that made controlling and possibly enabling hash tables a reality, which embodies the confirmed principles of Markov cryptography. Our focus in this position paper is not on whether hash tables...
Introduction of multi-core structures has not led to a decline in the rapid performance improvement of COTS CPU recently. On the other hand, the performance of memory and I/O systems is insufficient to catch up with that of COTS CPU. In this paper, with a view to realizing high-performance computer systems not only for HPC but also for Google-like servers, we propose concepts concerning memory systems...
The task of a network monitoring of the grid is to collect the scattered network information between the nodes of the grid, and provide an overall network status of the grid at any instant of time. The architecture of the monitoring system is based on the relational grid monitoring architecture, which provides a relational approach for the producer-consumer model of the GMA. This monitoring architecture...
This paper presented the design and implement of snapshots device driver in Linux. Our implement was carried out at the block level as the device driver. It is available to all file systems and databases. We used industry standard benchmark to measure the performance and uncovered many important performance characteristics.
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