Click here to close now.

SYS-CON MEDIA Authors: Liz McMillan, Elizabeth White, Dana Gardner, tru welu, Blue Box Blog

News Feed Item

Research and Markets: Global Data Center Integrated Workload Systems Market 2014-2018: One of the Main Challenges is Concerns Regarding Vendor Lock-In

Research and Markets (http://www.researchandmarkets.com/research/dkj2xg/global_data) has announced the addition of the "Global Data Center Integrated Workload Systems Market 2014-2018" report to their offering.

The analysts forecast the Global Data Center Integrated Workload Systems market to grow at a CAGR of 49.16 percent over the period 2013-2018. One of the key factors contributing to this market growth is the increase in big data. The Global Data Center Integrated Workload Systems market has also been witnessing the increased virtualization in network environments. However, the concerns regarding vendor lock-in could pose a challenge to the growth of this market.

Key vendors dominating this space are Hewlett-Packard Co., IBM Corp., and Oracle Corp.

Other vendors mentioned in the report are Cisco Systems Inc., Dell Inc., EMC Corp., Fujitsu Ltd., Hitachi Ltd., Intel Corp., NetApp Inc., Teradata Corp., VCE Company LLC, and VMware Inc.

Commenting on the report, an analyst from the team said: In recent years, the markets have witnessed an increase in virtualized networking environments in data centers. Additionally, customers have been wishing to tune their networks but they have been limited by constraints in network management tools. Virtualization has increased the deployment of multi-core and blade server platforms, resulting in consolidation of the storage environment. Virtual networks can be programmed and bonded to workloads, and they are scalable to demand. Moreover, they do not require physical network reconfiguration. As they are not restricted by physical boundaries, the network resources can be efficiently utilized across noncontiguous clusters. With traditional networks it has been difficult to manage and integrate the systems they support and the services delivered by them. Earlier attempts to bridge this gap further increased the complexity of the network configuration in understanding the application status and requirements, observing the network traffic, and then replying according to the configured policy.

According to the report, among the numerous growth drivers for the Global Data Center IWS market, increase in big data is the major growth driver. In data centers, highly complex data traffic moves in a random order between storage, internet, servers, and intranet. Moreover, there are varieties of traditional and advanced data-intensive applications, including VoIP, storage access, and emerging converged I/O.

For more information visit http://www.researchandmarkets.com/research/dkj2xg/global_data

About Research and Markets

Research and Markets is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
It's time to face reality: "Americans are from Mars, Europeans are from Venus," and in today's increasingly connected world, understanding "inter-planetary" alignments and deviations is mission-critical for cloud. In her session at 15th Cloud Expo, Evelyn de Souza, Data Privacy and Compliance Strategy Leader at Cisco Systems, discussed cultural expectations of privacy based on new research across these elements
In today's application economy, enterprise organizations realize that it's their applications that are the heart and soul of their business. If their application users have a bad experience, their revenue and reputation are at stake. In his session at 15th Cloud Expo, Anand Akela, Senior Director of Product Marketing for Application Performance Management at CA Technologies, discussed how a user-centric Application Performance Management solution can help inspire your users with every applicati...
The consumption economy is here and so are cloud applications and solutions that offer more than subscription and flat fee models and at the same time are available on a pure consumption model, which not only reduces IT spend but also lowers infrastructure costs, and offers ease of use and availability. In their session at 15th Cloud Expo, Ermanno Bonifazi, CEO & Founder of Solgenia, and Ian Khan, Global Strategic Positioning & Brand Manager at Solgenia, discussed this shifting dynamic with an ...
As enterprises engage with Big Data technologies to develop applications needed to meet operational demands, new computation fabrics are continually being introduced. To leverage these new innovations, organizations are sacrificing market opportunities to gain expertise in learning new systems. In his session at Big Data Expo, Supreet Oberoi, Vice President of Field Engineering at Concurrent, Inc., discussed how to leverage existing infrastructure and investments and future-proof them against e...
Due of the rise of Hadoop, many enterprises are now deploying their first small clusters of 10 to 20 servers. At this small scale, the complexity of operating the cluster looks and feels like general data center servers. It is not until the clusters scale, as they inevitably do, when the pain caused by the exponential complexity becomes apparent. We've seen this problem occur time and time again. In his session at Big Data Expo, Greg Bruno, Vice President of Engineering and co-founder of StackI...
Once the decision has been made to move part or all of a workload to the cloud, a methodology for selecting that workload needs to be established. How do you move to the cloud? What does the discovery, assessment and planning look like? What workloads make sense? Which cloud model makes sense for each workload? What are the considerations for how to select the right cloud model? And how does that fit in with the overall IT transformation?
The recent trends like cloud computing, social, mobile and Internet of Things are forcing enterprises to modernize in order to compete in the competitive globalized markets. However, enterprises are approaching newer technologies with a more silo-ed way, gaining only sub optimal benefits. The Modern Enterprise model is presented as a newer way to think of enterprise IT, which takes a more holistic approach to embracing modern technologies.
For better or worse, DevOps has gone mainstream. All doubt was removed when IBM and HP threw up their respective DevOps microsites. Where are we on the hype cycle? It's hard to say for sure but there's a feeling we're heading for the "Peak of Inflated Expectations." What does this mean for the enterprise? Should they avoid DevOps? Definitely not. Should they be cautious though? Absolutely. The truth is that DevOps and the enterprise are at best strange bedfellows. The movement has its roots in t...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impac...
There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. 8th International Big Data Expo, co-located with 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - has announced its Call for Papers is open. As advanced data storage, access and analytics technologies aimed at handling high-volume and/or fast moving data all move center stage, aided by the cloud computing bo...
Every day we read jaw-dropping stats on the explosion of data. We allocate significant resources to harness and better understand it. We build businesses around it. But we’ve only just begun. For big payoffs in Big Data, CIOs are turning to cognitive computing. Cognitive computing’s ability to securely extract insights, understand natural language, and get smarter each time it’s used is the next, logical step for Big Data.
There's no doubt that the Internet of Things is driving the next wave of innovation. Google has spent billions over the past few months vacuuming up companies that specialize in smart appliances and machine learning. Already, Philips light bulbs, Audi automobiles, and Samsung washers and dryers can communicate with and be controlled from mobile devices. To take advantage of the opportunities the Internet of Things brings to your business, you'll want to start preparing now.
The 4th International Internet of @ThingsExpo, co-located with the 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - announces that its Call for Papers is open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
Enterprises are fast realizing the importance of integrating SaaS/Cloud applications, API and on-premises data and processes, to unleash hidden value. This webinar explores how managers can use a Microservice-centric approach to aggressively tackle the unexpected new integration challenges posed by proliferation of cloud, mobile, social and big data projects. Industry analyst and SOA expert Jason Bloomberg will strip away the hype from microservices, and clearly identify their advantages and d...
In a world of ever-accelerating business cycles and fast-changing client expectations, the cloud increasingly serves as a growth engine and a path to new business models. Dynamic clouds enable businesses to continuously reinvent themselves, adapting their business processes, their service and software delivery and their operations to achieve speed-to-market and quick response to customer feedback. As the cloud evolves, the industry has multiple competing cloud technologies, offering on-premises ...