CBA boys, RBC girls swim to Shore Conference titles RBC squeaks by Rumson-Fair Haven with their depth By Doug mckenzie Staff Writer The Christian Brothers Academy swim team has won the Shore Conference Swimming Champion-ships every year since joining the conference 11 years ago. So Sunday’s results should be a surprise to no one, as the Lincroft Colts again displayed their overall strength in capturing yet another title. CBA was atop the leader board from the very start, as their 200 medley relay team posted the Colts’ first win of the day by beating a surprisingly good Toms River North squad to the wall in the first race of the day. Senior Joe Davidow swam the anchor for the Colts and touched out at 1:44.03, .14 seconds ahead of TR North, in CBA’s best time of the season in that event. Although that first race was close, CBA once again swam away with the team competition, distancing itself from the field like it has so many times before. Before it was all said and done, the Colts had accumulated 297 points, with Toms River East second (135), Toms River South third (134), Toms River North fourth (102), and Red Bank and Monsignor Donovan tied for fifth (77). It was CBA’s dominance of the relays which allowed them to cruise to another championship. After the team of Kevin Connors, Vincent Tupper, Brendan Connors and Davidow won the 200 medley, the Colts’ 200 freestyle relay team of Davidow, Kevin Connors, Matt Zilinski and Chris Farrell beat out TR South 1:33.09 to 1:33.24. From there it was the 400 freestyle relay team of Andrew Faughnan, Brendan Connors, Zilinski and Farrell who took the final relay of the day in a time of 3:27.88. CBA’s dominance of the relay events did not carry over to the individual events, however, as a number of swimmers from various schools swam away with conference championships. Rumson’s Ryan Matthews beat out CBA’s Farrell in the 200 freestyle, touching the wall in 1:50.52. Matthews used a strong push in the final 25 yards to top Farrell. In the 200 IM, it was Monmouth sophomore Chris Soniak touching the wall first (2:00.2), just ahead of Toms River South’s Carlos Santiago. (2:01.7). Soniak also went on to win the 100 butterfly in a time of 53.83, his best time of the season. But Santiago came back for a win of his own when he posted a 1:02.39 in the 100 breaststroke. The 50 freestyle was the day’s closest race, with St. John Vianney’s Kyle Williams (22.09), a junior who swims for the Red Bank YMCA, beating out Red Bank’s Mike Kelly (22.1). Kelly, however, came back to post a win in the 100 freestyle (48.23) with Williams posting second (49.26). Middletown South senior Greg Elzer got a win as well, touching the wall first in the 100 backstroke (55.13), just ahead of CBA’s Kevin Connors (55.81). CBA got its lone individual win of the day when Farrell won the 500 freestyle with a time of 4:54.12, and had the largest margin of victory (20 seconds) of the day. Meanwhile, on the girls’ side of the pool, the Red Bank Catholic Caseys completed a perfect sweep over rival Rumson-Fair Haven by defending their Shore Conference championship after beating the Bulldogs in their regular season dual meet and the county championships. The Caseys topped the Bulldogs by a score of 265 to 232 on Saturday, even though they won just two of the 11 events. However, it was their depth which made the difference, as they placed at least one swimmer in the top five in 10 events. Their wins came in the 50 freestyle, where junior Sara Schwartz touched the wall in 25.62, and the 200 freestyle relay, where the team of Noreen Faughnan, Carrie Rider, Bridget Pegler and Schwartz swam a 1:45.15, beating a Mary McCue-anchored Red Bank team which finished second at 1:45.31. But several other races saw RBC swimmers place near the front of the field, allowing them to accumulate enough points to distance themselves from the competition. As for McCue, she was one of the meet’s top swimmers, winning the 200 IM (2:10.05) by seven seconds over Rumson standout Bryanne Matthews (the defending champ), and the 100 free (53.76), which was just .37 seconds behind a meet record set over a decade ago. In addition, her spit of 24.37 in the 200 free relay almost led her team to a come-from-behind win over RBC. Red Bank’s Kristen Harris also won a pair of events. In the 500 freestyle, she had to sprint to the finish to top Rumson’s Ashley Bissett 5:07.53 to 5:08.67. Harris’ second win came in the 200 free, where she swam away from the field in 1:58.16. Bissett came back herself to pick up a pair of wins in the 100 fly (1:01.86) and the 100 breaststroke (1:08.98). In the remaining events, Manasquan defended their 200 medley title, while Rumson’s team of Trudy Wojciehowski, Sara Moser-Cohen, Matthews and Bissett won the 400 free relay with a time of (3:46.54). But at the end of the day it was Coach Gail Slevin’s RBC Caseys who were celebrating the team title, and the culmination of a perfect season.
Every time Ally McCoist lost it on air in 2019, including funny XI reactions 1 Where Ancelotti ranks with every Premier League boss for trophies won shining Chelsea travel to Crystal Palace at Sunday lunchtime for a Premier League London derby against Crystal Palace.The Blues can move to within one point of Manchester City with a defeat of the Eagles, temporarily at least, with Pep Guardiola’s side not in action against Southampton until later in the day. Son ban confirmed as Tottenham fail with appeal to overturn red card Forbes list reveals how much Mayweather, Ronaldo and Messi earned this decade Ronaldo warned Lukaku how hard scoring goals in Serie A would be before Inter move REPLY REVEALED Chelsea won their previous encounter with Crystal Palace back in November Top nine Premier League free transfers of the decade Oxlade-Chamberlain suffers another setback as Klopp confirms serious injury Premier League Team of the Season so far, including Liverpool and Leicester stars BEST OF Which teams do the best on Boxing Day in the Premier League era? RANKED Berahino hits back at b******t Johnson criticism – ‘I was in a dark place at Stoke’ Latest Football News REVEALED MONEY Sarri has decided to reinstate an actual centre-forward to his team, Olivier Giroud, with Eden Hazard returning to the wing. Willian flanks Giroud on the other side, and Ross Barkley comes into midfield with Mateo Kovacic named on the bench.Goalkeeper Vicente Guaita continues to start for Palace, who also name star forward Townsend and Wilfried Zaha in attack.Confirmed line-upsCrystal Palace: Guaita, Wan Bissaka, Tomkins, Sakho, Van Aanholt, McArthur, Milivojevic, Kouyate, Schlupp, Townsend, ZahaSubs: Ward, Dann, Meyer, Hennessey, Ayew, Wickham, PuncheonChelsea: Arrizabalaga, Azpilicueta, Rudiger, Luiz, Alonso, Kante, Jorginho, Barkley, Willian, Giroud, HazardSubs: Caballero, Kovacic, Zappacosta, Christensen, Morata, Emerson Palmieri, Ampadu ADVICE huge blow Maurizio Sarri’s men triumphed the last time these two teams met, with Alvaro Morata netting twice and Pedro grabbing the third in a 3-1 win. Andros Townsend scored Palace’s goal at Stamford Bridge, briefly pulling the match level at 1-1 before Morata restored Chelsea’s lead.Morata has not scored a league goal since grabbing his brace against Roy Hodgson’s side, and he fails to start for the fifth match in succession today; back from injury, the Spain international is named among the substitutes. no dice
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Today IT organizations face extreme pressures to cut costs and drive efficiency at every level. Approximately $24.7 billion is wasted each year on server management, power and cooling for unused systems in data centers. This figure is significant and represents on average 15 percent of a data center server population that is completely idle but consumes power and cooling.On average, annual energy costs are $800 or more for a 400W server. Do the math, and you can’t ignore that data center energy inefficiency is staggering, especially since idle servers represent only one vector of the efficiency problem.Crude AssessmentsBefore you can optimize energy efficiency, you have to understand your nominal power and thermal conditions under the range of workloads supported by your data center resources.In the past, most data center managers had only minimal energy-monitoring capabilities. They often assessed power consumption and cooling efficiencies by solely relying on returning air temperature at the air conditioning units. When that didn’t provide much insight, they would manually collect additional power data on a per-rack basis. Also, to estimate future growth, predictive models were developed and used to translate these static measurements into assessments of future energy consumption. The models deviate from reality by as much as 40 percent, however.Clearly a more accurate method is required to assess and predict energy and ultimately avoid the need to overprovision power and cooling. The large margin of error also makes modeling ineffective for predicting power spikes or other problematic events that lead to equipment failures and service disruptions.Calculating Power vs. Measuring PowerAlthough expedient, this approach has deficits that fall short of most efficiency goals. The problem with the method is the conservative nature of the vendor data. Manufacturers notoriously lean toward worst-case estimates, and overprovisioning is understandably the result when planning is based on this data alone. Opinions also vary widely about how to de-rate the vendor data, with data center managers citing 20 to 50 percent reductions as common practice.Some skeptical data center managers get out the power meters to verify the specifications and adjust data to their specific configurations and workloads, and intelligent power distribution units (PDUs) are deployed by those who can afford another layer of hardware. The PDUs can supply a steady stream of power data, but this data then must be collected and analyzed. Even then, the data is completely focused on power and does not address airflow or temperature patterns throughout the data center.An Expanded Continuous Data SetIn the quest for a more accurate energy map, many data center teams acknowledge the need to continuously aggregate more data points and take advantage of automation to minimize the time required for assessments. In response to these customer demands and energy trends, data center equipment vendors began integrating capabilities to provide power and thermal data without the need to employ meters or absorb the cost of intelligent PDUs. Today, data center managers can collect readings for server inlet temperatures and power consumption levels for rack servers, blade servers, and any deployed power-distribution units (PDUs), as well as the uninterrupted power supplies (UPSs) related to those servers. Energy-monitoring solutions are now available to aggregate this data and can give data center managers a detailed view of the conditions at the individual server or rack level. The data can drive a picture of the entire data center and also support drilling down to understand the energy requirements and usage patterns for groups of users or physical resources.By continuously collecting data in real time, it is possible to generate thermal maps of the data center and uncover hot spots and airflow inefficiencies before they lead to failures. Data logs can also be analyzed to identify trends and fine-tune power and cooling systems accordingly. The primary benefit of a fine-grained, real-time data collection and aggregation solution is the ability to avoid designing data centers on the basis of worst-case situations.Solid Solutions for Holistic Data Center Energy ManagementArmed with the ability to automatically collect and aggregate power and thermal measurements, data center managers and facility teams quickly recognized the value of emerging middleware solutions and tools that go further than passive monitoring. Energy-management solutions have evolved to enable the following: Jeffrey S. Klaus is the director of Data Center Manager (DCM) at Intel CorporationOpens in a new window.In part two of this seriesOpens in a new window, Jeff overviews the trends and industry changes that are affecting today’s data centers and accelerating the need for energy efficiencies. The series will conclude with part three, which outlines the best practices that employ the latest approaches, along with examples of the benefits being gained by enterprises that are pioneering next-generation energy management.Leading article photo courtesy of bandarjiOpens in a new windowFollow Intel DCM: https://twitter.com/IntelDCM This post originally appeared in The Data Center Journal on September 12, 2012. ConclusionsData center teams face energy challenges in every direction. Users want 100 percent uptime. Management wants lower costs and sustainable practices. Facilities teams need to divert power to other site needs. And utilities companies are saying they can’t meet the service levels required for expanding data centers, even if companies can pay the escalating prices for energy.The days of overprovisioning are over, and holistic energy-management solutions have arrived on the market. Today’s challenge is to accurately define the main requirements for an energy management solution and to choose a solution that puts a data center on the lowest-risk path, considering the current trends and energy outlooks. Proactive threshold detection to identify and correct problems and adjust conditions, extending the life of data center assetsIntroduction of controls that enforce policies and allocations designed for optimized service and energy efficiencyDynamic adjustment of server configurations during times of outagesBilling for services using a model that takes into account total energy consumptionIntegration of energy management with systems- and facilities-management consoles and methodologies An Audit of Data Center Power Efficiency—or InefficiencyThis article is part one of a three-part series on energy management in the data center. (See parts twoOpens in a new window and threeOpens in a new window.) About the Author