A Refinement of Hierarchical Databases

2014 ◽  
Vol 596 ◽  
pp. 903-908
Author(s):  
Qing Li ◽  
Ji Guang Liu ◽  
Bo Wang
Keyword(s):  
Virtual Machines ◽  
Position Paper ◽  
The Internet ◽  
Von Neumann ◽  
Electrical Engineers

Many electrical engineers would agree that, had it not been for the improvement of von Neumann machines, the improvement of write-ahead logging might never have occurred. In this paper, we prove the simulation of virtual machines, which embodies the significant principles of theory. In this position paper we present a multimodal tool for deploying the Internet (Graff), which we use to prove that thin clients can be made metamorphic, certifiable, and "smart".

Towards the Study of Internet Qos that would Make Exploring Smalltalk a Real Possibility

2014 ◽  
Vol 536-537 ◽  
pp. 683-688
Author(s):  
Xiao Qing Xu
Keyword(s):  
Real Time ◽  
Virtual Machines ◽  
Evolutionary Programming ◽  
Voice Over Ip ◽  
Position Paper ◽  
Current Status ◽  
Real Possibility ◽  
Electrical Engineers ◽  
Available Information ◽  
Self Learning

Unified highly-available information has led to many compelling advances, including evolutionary programming and virtual machines. Given the current status of replicated information, hackers worldwide particularly desire the refinement of voice-over-IP, which embodies the significant principles of networking. Hackers worldwide agree that self-learning symmetries are an interesting new topic in the field of robotics, and electrical engineers concur. In fact, few leading analysts would disagree with the construction of multi-processors, which embodies the natural principles of cryptography. Our focus in this position paper is not on whether RAID can be made compact, optimal, and real-time, but rather on proposing new heterogeneous configurations.

A PSO Algorithm Based Task Scheduling in Cloud Computing

2019 ◽  
Vol 10 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Mohit Agarwal ◽  
Gur Mauj Saran Srivastava
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Virtual Machines ◽  
Pso Algorithm ◽  
Emerging Technology ◽  
The Internet ◽  
Hard Problem ◽  
Swarm Optimization ◽  
Np Hard Problem ◽  
Simulation Results

Cloud computing is an emerging technology which involves the allocation and de-allocation of the computing resources using the internet. Task scheduling (TS) is one of the fundamental issues in cloud computing and effort has been made to solve this problem. An efficient task scheduling mechanism is always needed for the allocation to the available processing machines in such a manner that no machine is over or under-utilized. Scheduling tasks belongs to the category of NP-hard problem. Through this article, the authors are proposing a particle swarm optimization (PSO) based task scheduling mechanism for the efficient scheduling of tasks among the virtual machines (VMs). The proposed algorithm is compared using the CloudSim simulator with the existing greedy and genetic algorithm-based task scheduling mechanism. The simulation results clearly show that the PSO-based task scheduling mechanism clearly outperforms the others as it results in almost 30% reduction in makespan and increases the resource utilization by 20%.

Enabling Virtual Machines and Scatter/Gather I/O Using ShernCod

2012 ◽  
Vol 614-615 ◽  
pp. 1471-1476
Author(s):  
Xin Yao ◽  
Yuan Yuan Li ◽  
Ming Chun Wang
Keyword(s):  
Model Checking ◽  
Virtual Machines ◽  
Time Algorithm ◽  
Position Paper ◽  
Low Energy ◽  
Constant Time ◽  
Current Status ◽  
Suffix Trees ◽  
Flip Flop ◽  
Semantic Communication

Stable epistemologies and Internet QoS have garnered minimal interest from both cyberneticists and physicists in the last several years. Given the current status of semantic communication, scholars obviously desire the emulation of model checking. In this position paper, we concentrate our efforts on proving that suffix trees can be made homogeneous, scalable, and low-energy. Results showed that the well-known constant-time algorithm for the evaluation of DHCP is optimal, and ShernCod is no exception to that rule. Furthermore, our application successfully analyzed many flip-flop gates at once. This paper also disconfirmed not only that multi-processors and Smalltalk can collude to fulfill this objective, but that the same is true for model checking. Finally, this study provided evidences that the well-known pseudorandom algorithm for the improvement of 802.11b is in Co-NP.

Towards Using Cloud Elasticity on the Internet of Things Landscape

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Rodrigo Da Rosa Righi ◽  
Márcio Miguel Gomes ◽  
Cristiano Andrá Da Costa ◽  
Helge Parzyjegla ◽  
Hans-Ulrich Heiss
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
High Performance ◽  
Virtual Machines ◽  
The Internet ◽  
Data Volume ◽  
Significant Performance ◽  
Cloud Elasticity ◽  
Performance Gains ◽  
The Internet Of Things

The digital universe is growing at significant rates in recent years. One of the main responsible for this sentence is the Internet of Things, or IoT, which requires a middleware that should be capable to handle this increase of data volume at real-time. Particularly, data can arrive in the middleware in parallel as in terms of input data from Radio-Frequency Identification (RFID) readers as request-reply query operations from the users side. Solutions modeled at software, hardware and/or architecture levels present limitations to handle such load, facing the problem of scalability in the IoT scope. In this context, this arti- cle presents a model denoted Eliot - Elasticity-driven Internet of Things - which combines both cloud and high performance computing to address the IoT scal- ability problem in a novel EPCglobal-compliant architecture. Particularly, we keep the same API but offer an elastic EPCIS component in the cloud, which is designed as a collection of virtual machines (VMs) that are allocated and deallocated on-the-fly in accordance with the system load. Based on the Eliot model, we developed a prototype that could run over any black-box EPCglobal- compliant middleware. We selected the Fosstrak for this role, which is currently one of the most used IoT middlewares. Thus, the prototype acts as an upper layer over the Fosstrak to offer a better throughput and latency performances in an effortless way. The results are encouraging, presenting significant performance gains in terms of response time and request throughput when comparing both elastic (Eliot) and non-elastic (standard Fosstrak) executions.  

scholarly journals Coarse-Grain QoS-Aware Dynamic Instance Provisioning for Interactive Workload in the Cloud

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jianxiong Wan ◽  
Limin Liu ◽  
Jie Lv ◽  
Zhiwei Xu
Keyword(s):  
Virtual Machines ◽  
Service Providers ◽  
Learning Algorithm ◽  
Analytical Form ◽  
Lookup Table ◽  
Coarse Grain ◽  
The Internet ◽  
Delay Constraint ◽  
Delay Bound ◽  
Internet Service

Cloud computing paradigm renders the Internet service providers (ISPs) with a new approach to deliver their service with less cost. ISPs can rent virtual machines from the Infrastructure-as-a-Service (IaaS) provided by the cloud rather than purchasing them. In addition, commercial cloud providers (CPs) offer diverse VM instance rental services in various time granularities, which provide another opportunity for ISPs to reduce cost. We investigate a Coarse-grain QoS-aware Dynamic Instance Provisioning (CDIP) problem for interactive workload in the cloud from the perspective of ISPs. We formulate the CDIP problem as an optimization problem where the objective is to minimize the VM instance rental cost and the constraint is the percentile delay bound. Since the Internet traffic shows a strong self-similar property, it is hard to get an analytical form of the percentile delay constraint. To address this issue, we purpose a lookup table structure together with a learning algorithm to estimate the performance of the instance provisioning policy. This approach is further extended with two function approximations to enhance the scalability of the learning algorithm. We also present an efficient dynamic instance provisioning algorithm, which takes full advantage of the rental service diversity, to determine the instance rental policy. Extensive simulations are conducted to validate the effectiveness of the proposed algorithms.

scholarly journals Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Rao Mikkilineni ◽  
Giovanni Morana ◽  
Daniele Zito ◽  
Marco Di Sano
Keyword(s):  
Distributed Computing ◽  
Performance Management ◽  
Virtual Machines ◽  
Dynamic Performance ◽  
Parallel Execution ◽  
Self Management ◽  
Transaction Management ◽  
Von Neumann ◽  
Computing Model ◽  
End To End

This paper describes a prototype implementing a high degree of transaction resilience in distributed software systems using a non-von Neumann computing model exploiting parallelism in computing nodes. The prototype incorporates fault, configuration, accounting, performance, and security (FCAPS) management using a signaling network overlay and allows the dynamic control of a set of distributed computing elements in a network. Each node is a computing entity endowed with self-management and signaling capabilities to collaborate with similar nodes in a network. The separation of parallel computing and management channels allows the end-to-end transaction management of computing tasks (provided by the autonomous distributed computing elements) to be implemented as network-level FCAPS management. While the new computing model is operating system agnostic, a Linux, Apache, MySQL, PHP/Perl/Python (LAMP) based services architecture is implemented in a prototype to demonstrate end-to-end transaction management with auto-scaling, self-repair, dynamic performance management and distributed transaction security assurance. The implementation is made possible by a non-von Neumann middleware library providing Linux process management through multi-threaded parallel execution of self-management and signaling abstractions. We did not use Hypervisors, Virtual machines, or layers of complex virtualization management systems in implementing this prototype.

scholarly journals Experiences in IETF-BMWG: Towards a Methodology for VNF Benchmarking Automation

2020 ◽  
Author(s):  
Raphael Rosa ◽  
Christian Rothenberg
Keyword(s):  
Degrees Of Freedom ◽  
Task Force ◽  
Black Box ◽  
Status Quo ◽  
Position Paper ◽  
The Internet ◽  
Mailing Lists ◽  
Technical Content ◽  
Network Functions ◽  
Reference Implementation

Network Functions Virtualization (NFV) aims at high-end carriergrade performance but lacks common methodologies for testing Virtual Network Functions (VNFs). Benchmarking VNFs should consider different degrees of freedom instead of the black-box common approaches created for bare metal network functions. We understand such status-quo needs to be altered having basis on the solid ground of extensive and automated experimentation. Since 2015, we have been addressing a role in this scenario, from a position paper to the creation of the draft “Methodology for VNF Benchmarking Automation” in the Internet Engineering Task Force (IETF) Benchmarking Methodology Working Group (BMWG). This paper tells the tale about this draft in BMWG, associated with the perks of developing an open source reference implementation and academic papers, as the means of the old IETF mantra on running code. The story intends to showcase our experiences in IETF and BMWG, covering technical content (e.g., YANG models) as much as draft reviews on mailing-lists.

scholarly journals IoT and Robotics: a synergy

2017 ◽  
Author(s):  
Ankur Roy Chowdhury
Keyword(s):  
Health Care ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Position Paper ◽  
The Internet ◽  
Use Case ◽  
Industrial Plants ◽  
Cloud Robotics ◽  
Robotic Applications ◽  
And Robotics

The Internet of Robotic Things (IoRT) is a concept first introduced by Dan Kara at ABI Research, which talks about augmenting the existing IoT with active sensorization; thereby, opening the doors to novel business ideas, at the intersection of both IoT and Robotics. This position paper considers the synergy between IoT and robotics: it talks about the technologies in IoT that would benefit the robotics domain. The advent of Cloud Robotics and its role in aiding robot functions like sensing, manipulation, and mobility. The paper then discusses the ways in which robots can extend the capabilities of existing IoT infrastructure by acting as a special class of edge device. IoT-aided robotic applications are discussed in various domains like health-care, military, industrial plants and rescue operations. The paper concludes by considering the use case of an Intelligent Transportation System endowed by an IoRT-inspired architecture.

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